JP2003207579A - Concentration prediction method and device of air pollutant - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To acquire a concentration prediction value without requiring a vast amount of experimental cost or the like. <P>SOLUTION: This concentration prediction method of air pollutant is characterized by having a step for calculating CYF by a plume puff model out of consideration of topography, a step for calculating CYG by the same model in consideration of the topography, a step for calculating CYNF by the same model out of consideration of the topography by neutralizing atmospheric stability, a step for calculating CYNG by the same model in consideration of the topography by neutralizing atmospheric stability, a step for determining CWYNF by performing a wind tunnel experiment using a flat model based on neutralized meteorological data, a step for determining CWYNG by performing a wind tunnel experiment using a topographic model based on the neutralized meteorological data, a step for confirming that the CWYNF is in a prescribed range relative to the CWYNG, and a step for comparing the CYG with the CWYNG and adopting a value on the safety side as an annual mean concentration prediction value. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for predicting the concentration of air pollutants that diffuse into the atmosphere.

[0002]

2. Description of the Related Art At present, an environmental assessment is carried out in advance when constructing a structure for diffusing air pollutants such as a factory. In the environmental assessment, it is predicted how the air pollutants emitted from the chimney of the factory to be constructed will spread to the surrounding area and the concentration of the air pollutants in the atmosphere in the surrounding area. It is difficult to accurately predict the concentration of air pollutants because it is affected by the geographical features of the surrounding area and the weather conditions such as wind speed, wind direction, and atmospheric conditions. Currently known prediction methods include local diffusion experiment method, numerical calculation method using plume-puff model,
There are wind tunnel test methods, three-dimensional numerical simulation methods, and the like.

In the present specification, air pollutants include various gases and fine particles harmful or harmless to the human body, and high temperature or low temperature air emitted from outdoor units for cooling and heating.

[0004]

[Problems to be Solved by the Invention] The on-site diffusion test method is to measure a concentration of tracer gas in various places in the surrounding area by diffusing a gas for concentration measurement called tracer gas from a point where a factory or the like should be constructed. Is. According to the on-site diffusion test method, since the gas is actually diffused on the spot to measure the concentration, it is possible to obtain relatively reliable data. However, this method has a problem in that it is difficult to obtain data on all possible wind directions, wind speeds, atmospheric conditions, and other meteorological conditions. In addition, it is difficult to reproduce the actual diffusion conditions of the air pollutants, for example, to diffuse the tracer gas from the same height as the chimney of the factory where the air pollutants are diffused, and there is a problem that the cost required for the experiment is high.

The numerical calculation method based on the plume-puff model is based on a relatively simple numerical calculation.
It is widely used because it can calculate the concentration of air pollutants taking into account wind speed, atmospheric conditions, topography, etc., and is also detailed in the “Nitrogen Oxide Control Manual” edited by the Air Quality Control Division, Air Quality Control Bureau, Environment Agency. Has been done. However, the plume-puff model has a predetermined function form that represents the manner in which the gas present in the atmosphere diffuses due to wind, etc., and does not take into consideration changes in the air flow due to the influence of the topography of the surrounding area. Therefore, there is a problem that the accuracy of concentration prediction is reduced particularly when the influence of the topography is large.

In the wind tunnel test method, the tracer gas for concentration measurement is actually diffused in the wind tunnel, and the concentration is predicted by actually measuring the tracer gas concentration in each part, so that relatively reliable data can be obtained. You can Further, by creating a model of the terrain of the surrounding area where a factory or the like should be constructed and diffusing gas, the influence of the terrain can be taken into account relatively accurately. However, although it is not impossible to perform a wind tunnel experiment that reproduces the state of the atmosphere other than the neutral state, there are problems such as the time and cost required for the experiment being large. The neutral state of the atmosphere means that the temperature of the atmosphere is constant regardless of the altitude above the surface of the earth, and the non-neutral state of the atmosphere is that the temperature of the atmosphere rises as the altitude above the surface of the earth increases. The stable state of the atmosphere and the unstable state of the atmosphere in which the temperature level of the atmosphere decreases as the altitude increases.
The term "potential" means the temperature of the atmosphere after subtracting the decrease in atmospheric temperature due to the decrease in atmospheric pressure due to the increase in altitude.

The three-dimensional numerical simulation method is to solve the diffusion equation, the flow equation, etc. by various numerical solution methods such as the difference method, the boundary element method, the finite element method,
It is a method to calculate the concentration of air pollutants in various places in the surrounding area. According to this method, it is possible to calculate the concentration of air pollutants at various places under various weather conditions and topography. However, the three-dimensional numerical simulation method is
Since the amount of calculation is much larger than the numerical calculation by the Plume-Puff model, it takes a huge amount of time to adopt this calculation method for all calculation conditions, and the calculation cost is also high.

Therefore, an object of the present invention is to obtain a predicted value of the concentration of air pollutants in the surrounding area or a predicted value on the safe side without enormous experimental cost and calculation cost.

[0009]

In order to achieve the above object, the method of predicting the concentration of an air pollutant according to the present invention predicts an annual average concentration of an air pollutant diffused in the atmosphere at a concentration prediction point. As a method, based on the meteorological data of wind direction, wind speed, and atmospheric stability of the area where the concentration of the air pollutant is predicted, the plume puff model that does not consider the topography is used to calculate the year A plume that considers the topography based on the step of calculating the average value C _YF and the wind direction, wind speed, and atmospheric stability that are meteorological data of the area where the concentration of air pollutants is predicted.
The step of calculating the annual average value C _YG of the air pollutant concentration at the concentration prediction point by the puff model, and the plume puff model that neutralizes the atmospheric stability of the meteorological data in the area where the concentration of the air pollutant is predicted and does not consider the topography The step of calculating the annual average value C _YNF of the air pollutant concentration at the concentration prediction point, and the
The atmospheric stability of the meteorological data is neutralized, and the step of calculating the air pollutant concentration annual average value C _YNG at the concentration prediction point by the plume puff model considering the topography and the neutralized air pollutant concentration annual average value C _YNF are , The step of confirming that the air pollutant concentration annual average value C _YF that is not neutralized is within a predetermined error range, and the maximum value of the air pollutant concentration annual average value C _YNF at each concentration prediction point calculating the CM _Ynf, the _{α N (= CM YNG / CM} YNF) which is the ratio of the CM _YNG the maximum value of the air pollutants concentration annual mean C _YNG at each concentration prediction point is, areas where the density predictions of air pollutants, on the basis of meteorological data neutralize atmospheric stability performs wind tunnel experiments using flat model to determine the tracer gas concentration annual mean C _WYNF concentrations predicted point scan And-up, the regions in which the density predictions of air pollutants, on the basis of meteorological data neutralize atmospheric stability performs wind tunnel experiments using terrain model, the concentration predicted point of tracer gas concentration annual average C _WYNG And the annual average value of neutralized air pollutant concentration C _YNF
However, the annual average value of tracer gas concentration by the wind tunnel experiment C _WYNF
To confirm that it is within a predetermined error range, CM _WYNF which is the maximum value of the tracer gas concentration annual average value C _WYNF at each concentration prediction point, and the tracer gas concentration year at each concentration prediction point the ratio of the CM _WYNG the maximum value among the average values C _WYNG α _WN (= CM _WYNG
/ CM _WYNF ), and the _yearly average air pollutant concentration C _YF and the _yearly average air pollutant concentration C _YG are compared, and if the difference is within a predetermined error range, C
_YF is a provisional air pollutant concentration annual average predicted value, and if the difference is not within a predetermined error range, C _YG is a provisional air pollutant concentration annual average forecasted value; If the value of the provisional air pollutant concentration annual average predicted value is large, the provisional air pollutant concentration annual average predicted value is compared with the atmospheric concentration predicted annual average predicted value C _WYNG. The step of determining the annual average concentration predicted value of pollutants, the value of the tracer gas concentration annual average value C _WYNG is larger than the provisional atmospheric pollutant concentration annual average predicted value, and the ratio α
_When the value of _WN is larger than the value of ratio α _N , and when C _YG is adopted as the provisional air pollutant concentration annual average predicted value, the value is multiplied by the value of (α _WN / α _N ). To be the annual average concentration predicted value of the air pollutant, and the value of the tracer gas concentration annual average value C _WYNG is greater than the provisional air pollutant concentration annual average predicted value, and the value of the ratio α _WN Is larger than the value of the ratio α _N , and when C _YF is adopted as the provisional _yearly average value of the air pollutant concentration, a value obtained by multiplying that value by the value of α _WN is used as the year of the air pollutant. And a step of setting an average density prediction value.

According to the present invention, based on the field diffusion experiment, the plume-puff model calculation, and the wind tunnel experiment, a highly accurate predicted value, or a predicted value higher than the actual air pollutant concentration, is safe. The predicted value of the side can be obtained.

Further, according to the present invention, in the step of neutralizing the atmospheric stability of the meteorological data and calculating the annual average value of the air pollutant concentration in the area where the air pollutant concentration prediction is performed,
In the step of calculating the annual average value of the air pollutant concentration by extracting only the meteorological data in the neutral state and performing the wind tunnel experiment based on the meteorological data in which the atmospheric stability is neutralized, You may comprise so that only the weather data of a neutral state may be extracted and a tracer gas concentration annual average value may be calculated | required.

The air pollutant concentration prediction method of the present invention is a method for predicting the annual average concentration of air pollutants diffused in the atmosphere at the concentration prediction point, and predicts the air pollutant concentration. The step of extracting the air stability non-neutral data from the local meteorological data and calculating the annual mean air pollutant concentration C _YDF at the concentration prediction point by the plume puff model that does not consider the topography, Extracting data whose atmospheric stability is in a non-neutral state from the meteorological data of the area where the concentration is predicted, and calculating the annual average value of atmospheric pollutant concentration C _YDG at the concentration prediction point by a plume puff model considering the topography, Plume / puff model that does not consider the topography is extracted by extracting the data with the atmospheric stability in the neutral state from the meteorological data of the region where the concentration of air pollutants is predicted. Calculating pollutants concentration annual mean C _YSF concentration prediction point, atmospheric stability of the weather data regions in which the density predictions of atmospheric pollutants on the basis of the weather data in a neutral state by flat A wind tunnel experiment using a model to obtain the annual average value C _WYSF of the tracer gas concentration at the concentration prediction point, and a meteorological data of the region where the concentration of the air pollutant is predicted, where atmospheric stability is in a neutral state Based on the data, the wind tunnel experiment using the topographic model is performed, and the step of _obtaining the tracer gas concentration annual average value C _WYSG at the concentration prediction point and the air pollutant concentration annual average value C _YSF in the neutral state are _traced by the wind tunnel experiment. ascertaining that it is within the predetermined error range with respect to the gas concentration annual average C _{WYS F,} atmospheric pollutants concentration annual average C _YDF and air pollutants concentration The average value C
_{If YDG} is compared with each other and the difference is within a predetermined error range, C _YDF is _used as a provisional air pollutant concentration annual average predicted value, and if the difference is not within the predetermined error range, C _YDF is calculated.
_Taking into _{account the step of} using _YDG as a provisional average annual air pollutant concentration forecast value and the frequency of occurrence of neutral and non-neutral atmospheric stability in the meteorological data, provisional average annual air pollutant concentration forecast And a step of calculating a _yearly average concentration predicted value of air pollutants by a weighted average of the value and the tracer gas concentration _yearly average value C _WYSG .

In the present invention, the calculation result of the three-dimensional numerical simulation may be used instead of the wind tunnel experiment.

The method for predicting the concentration of an air pollutant according to the present invention is a method for predicting the concentration of an air pollutant diffused in the atmosphere at a concentration predicting point, which is an air pollution by a plume puff model considering the topography. Confirm the accuracy of the predicted value of air pollutant concentration by using the calculated value of the air pollutant concentration, the calculated value of the air pollutant concentration by the plume puff model without considering the topography, and the experimental result of the wind tunnel experiment, or It is characterized by confirming that it is a prediction on the safe side.

The method of predicting the concentration of air pollutants is a method of predicting the annual average concentration of air pollutants diffused in the atmosphere at the concentration prediction points, and the meteorology of the area where the concentration of air pollutants is predicted. Extracting the data with unstable atmospheric stability from the data, and calculating the annual mean air pollutant concentration C _YUF at the concentration prediction point using a plume puff model that does not consider topography Extracting the data of unstable atmospheric stability from the meteorological data of the area to be performed, and calculating the annual average value C _YUG of the air pollutant concentration at the concentration prediction point by the plume puff model considering the topography, and the air pollutant The plume puff model that does not consider the topography is obtained by extracting the data whose atmospheric stability is unstable from the meteorological data of the area where Calculating pollutants concentration annual mean C _YTF concentrations predicted point I, atmospheric stability of the weather data regions in which the density predictions of air pollutants based on the weather data in the non-labile state Then, a wind tunnel experiment using a flatland model is performed to determine the annual average value C _WYTF of the tracer gas concentration at the concentration prediction point, and the atmospheric stability of the meteorological data of the region where the concentration of air pollutants is predicted is Based on the meteorological data in a stable state, a wind tunnel experiment using a topographic model is performed, and the step of _obtaining the tracer gas concentration annual average value C _WYTG at the concentration prediction point and the atmospheric pollutant concentration annual average value C in the non-unstable state are calculated. ascertaining that it is within the predetermined error range with respect _YTF is, the tracer gas concentration annual average C _WYTF by wind tunnel tests,
Air pollutant concentration _yearly average value C _YUF is _compared with air pollutant concentration _yearly average value C _YUG, and if the difference is within a predetermined error range, C _YUF is provisional air pollutant concentration _yearly average value. If the difference is not within the predetermined error range, the step of setting C _YUG as a provisional air pollutant concentration annual average predicted value, and the non-unstable state of atmospheric stability in the meteorological data, In consideration of the frequency of occurrence of instability, a step of calculating the annual average concentration predicted value of the air pollutant by a weighted average of the provisional atmospheric pollutant concentration annual average value and the tracer gas concentration annual average value C _WYTG , Is characterized by having.

Further, the air pollutant concentration prediction method of the present invention is a method of predicting the annual average concentration of air pollutants diffused in the atmosphere at the concentration prediction point, and predicts the air pollutant concentration. Wind direction, which is the weather data of the region,
Based on the wind speed and atmospheric stability, the step of calculating the yearly average value C _YF of the air pollutant concentration at the concentration prediction point by the plume puff model that does not consider the topography, and the weather of the area where the concentration of the air pollutant is predicted Wind direction, which is the data
Based on the wind speed and atmospheric stability, the step of calculating the annual mean air pollutant concentration C _YG at the concentration prediction point by the plume puff model considering the topography, and the meteorology of the area where the concentration of the air pollutant is predicted Neutralize the atmospheric stability of the data and calculate the annual average value of the air pollutant concentration C _YNF at the concentration prediction point using a plume-puff model that does not consider the topography and the meteorological data of the region where the air pollutant concentration is predicted. neutralizes the atmospheric stability, calculating the air pollutants concentration annual average C _{YN G} concentrations predicted point by plume Pafumoderu considering terrain, atmospheric contaminant concentration annual average C _Ynf is obtained by neutralizing, neutral To confirm that the annual average value C _{YF of the} air pollutant concentration that has not been converted is within a predetermined error range, and to predict the air pollutant concentration A wind tunnel experiment using a flatland model was carried out based on the regional atmospheric stability neutralized meteorological data, and the tracer gas concentration annual average value C _WYNF at the concentration prediction point was obtained.
And the atmospheric stability neutralized meteorological data of the area where the concentration of air pollutants is predicted,
Performing a wind tunnel experiment using a topographic model and _obtaining the tracer gas concentration annual average value C _WYNG at the concentration prediction point, and the neutralized air pollutant concentration annual average value C _YNF is the tracer gas concentration annual average value from the wind tunnel experiment. The step of confirming that it is within a predetermined error range with respect to C _WYNF , and the tracer gas concentration annual average value C _WYNF by the wind tunnel experiment is within a predetermined error range with respect to the tracer gas concentration annual average value C _WYNG . Steps to confirm that the annual average value C _YG or C _{YF of} the air pollutant concentration and the annual average value C of the tracer gas concentration
_{A step} of comparing the value on the safe side with the _WYNG and _using it as an annual average concentration predicted value of air pollutants.

The air pollutant concentration prediction method of the present invention is a method for predicting the annual average concentration of air pollutants that diffuse into the atmosphere at the concentration prediction point, and predicts the air pollutant concentration. The step of extracting the air stability non-neutral data from the local meteorological data and calculating the annual mean air pollutant concentration C _YDF at the concentration prediction point by the plume puff model that does not consider the topography, Data for extracting atmospheric stability data from the meteorological data of the area where concentration is predicted, and calculating the annual mean air pollutant concentration C _YSF at the concentration prediction point using a plume puff model that does not consider topography; A wind tunnel experiment using a flatland model based on meteorological data in which atmospheric stability is in a neutral state among the regional meteorological data for which the concentration of pollutants is predicted Performed, determining a tracer gas concentration annual mean C _WYSF concentration prediction point, atmospheric stability of the weather data regions in which the density predictions of atmospheric pollutants on the basis of the weather data in a neutral state, the terrain model Of the tracer gas concentration annual average value C _WYSG at the concentration prediction point, and the air pollutant concentration annual average value C _YSF in the neutral state are tracer gas concentration annual average values C _WYSF The annual average value C _{YDF of the} air pollutant concentration is taken into consideration, considering the frequency of occurrence of neutral and non-neutral atmospheric stability in the meteorological data When,
_{Calculating a yearly} average concentration predicted value of the air pollutant by a weighted average with the tracer gas concentration annual average value C _WYSG .

Further, the method of predicting the concentration of air pollutants is
At the concentration prediction point of air pollutants that diffuse in the air
It is a method to predict the annual average concentration,
Stability is unstable from meteorological data
Plume that extracts state data and does not consider topography
・ Air pollutant concentration at concentration prediction point by puff model
Annual average C_YUFOf calculating the air pollution
From the meteorological data of the area where
Pulls stable data and does not consider the terrain
Air pollutants at concentrations predicted by the Rume-Puff model
Concentration annual average value C _YTFThe steps to calculate and the air pollutants
Atmospheric stability of local meteorological data for quality concentration prediction
Based on meteorological data that is unstable
Wind tunnel experiment using the mold and tracer of concentration prediction point
Annual average gas concentration C_WYTFAnd the step of seeking air pollution
Atmospheric safety in the meteorological data of the area where
Topography based on meteorological data whose instability is unstable
A wind tunnel experiment using a model was conducted to tracer the concentration prediction point.
-Gas concentration annual average value C_WYTGSeeking and non-anxiety
Annual average C of air pollutant concentration in steady state_YTFBut the wind
Annual tracer gas concentration average C_WYTFAgainst
And confirming that it is within a predetermined error range,
Instability of atmospheric stability, anxiety among meteorological data
Annual average of air pollutant concentration considering the frequency of occurrence of steady state
Value C_YUFAnd the tracer gas concentration annual average value C_WYTGAddition of
Calculate annual average predicted concentration of air pollutants by weighted average
And a step of performing.

The air pollutant concentration predicting method of the present invention is a method for predicting the annual average concentration of air pollutants diffused in the atmosphere at the concentration predicting point and predicting the air pollutant concentration. Wind direction, which is the weather data of the region,
Based on the wind speed and atmospheric stability, the step of calculating the yearly average value C _YF of the air pollutant concentration at the concentration prediction point by the plume puff model that does not consider the topography, and the weather of the area where the concentration of the air pollutant is predicted _Annual average value of air pollutant concentration C _YNF at concentration forecasting points by plume puff model that neutralizes atmospheric stability of data and does not consider topography
And a step of _confirming that the neutralized air pollutant concentration annual average value C _YNF is within a predetermined error range with respect to the non-neutralized air pollutant concentration annual average value C _YF , Based on the atmospheric stability-neutralized meteorological data of the area where the air pollutant concentration is predicted, a wind tunnel experiment using a flatland model is performed to obtain the tracer gas concentration annual average value C _WYNF at the concentration prediction point. , A wind tunnel experiment using a topographic model was conducted based on the meteorological data that neutralized atmospheric stability in the area where the concentration of air pollutants was predicted, and the tracer gas concentration annual average value C at the concentration prediction point was calculated.
_The step of _{obtaining WYNG} , the step of _confirming that the neutralized air pollutant concentration annual average value C _YNF is within a predetermined error range with respect to the tracer gas concentration annual average value C _WYNF by the wind tunnel experiment, and the air pollution _{Comparing the} annual average concentration C _{YF of the} substance concentration and the annual average concentration C _{WYNG of the} tracer gas, and setting the value on the safe side as the estimated annual average concentration of the air pollutant. There is.

[0020]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, embodiments of the present invention will be described with reference to the accompanying drawings. First, a first embodiment of the present invention will be described with reference to FIGS. 1 and 2. FIG. 1 is a block diagram showing the configuration of an air pollutant concentration prediction apparatus according to the first embodiment of the present invention. FIG. 2 is a flowchart showing the operation of the air pollutant concentration predicting apparatus according to the first embodiment of the present invention.

As shown in FIG. 1, according to the first embodiment,
Air pollutant concentration predictor 1
Tracer gas concentration C at the measured concentration prediction point_EEnter
C for strength_EInput means 2 and the same as the field diffusion experiment
Plume puff model that uses conditions and does not consider terrain
Tracer gas concentration C at the concentration prediction point_EFTotal
C to calculate_EFSame as calculation method 4 and field diffusion experiment
Plume-puff model considering terrain using conditions
Tracer gas concentration C at the concentration prediction point _EGCalculate
C to do_EGAnd a calculation means 6.

Further, the concentration predicting apparatus 1 uses a C _WRF input means 8 for inputting a tracer gas concentration C _WRF at a concentration predicting point by a wind tunnel experiment using a flatland model, and a wind tunnel experiment using a topographic model. Using the C _WRG input means 10 for inputting the tracer gas concentration C _WRG at the concentration prediction point and the actual air pollutant diffusion condition, the air pollutant concentration C at the concentration prediction point by the plume puff model without considering the topography and C _RF calculating means 12 for calculating the _RF, actual using air pollutants diffusion conditions, C _RG for calculating the air pollutants concentration C _RG concentrations predicted point by plume Pafumoderu considering terrain And a calculation means 14.

Further, the concentration predicting apparatus 1 is based on the first judgment means 16 for comparing the tracer gas concentrations C _E , C _EF , and C _EG to perform case classification, and the case classification by the first judgment means 16. The second judgment means 18 for determining the predicted value of the concentration of the air pollutant by comparing the tracer gas concentration C _WRG by the wind tunnel experiment and the air pollutant concentration C _RF by the calculation.
And a third judging means 20 for comparing the tracer gas concentration C _WRG with the air pollutant concentration C _RG to determine a predicted value of the air pollutant concentration, based on the case classification by the first judging means 16, And an output unit 22 for displaying the predicted concentration value of the air pollutant determined by the determination unit 18 or the third determination unit 20.

Specifically, the C _E input means 2, the C _WRF input means 8 and the C _WRG input means 10 can be composed of a computer keyboard, a mouse, a hard disk and the like. Also, C _EF calculation means 4, C _EG calculation means 6, C
_RF calculation means 12, C _RG calculation means 14, first judgment means 1
6, the second judging means 18, and the third judging means 20 can be configured by a CPU and software of a computer, and the output means 22 can be configured by a computer display or a printer.

Next, the operation of the atmospheric pollutant concentration predicting apparatus 1 according to the first embodiment of the present invention will be described with reference to FIG. First, in step S101, a field diffusion experiment is performed to measure the tracer gas concentration C _E at each concentration prediction point, and the C _E input means 2 is used to determine the value thereof.
To enter. In the field diffusion experiment, the tracer gas was actually diffused at the site where a factory or the like should be constructed, and the tracer gas concentration C was measured at many points within a range of several kilometers to several tens of kilometers around the point where the gas was diffused.
Measure _E. The point where the gas is diffused should be set as close as possible to the point where the air pollutant is actually diffused. For example, if air pollutants are emitted from the chimney, it is preferable to use a crane truck or the like to diffuse the tracer gas from a point as close as possible to the height of the chimney. Also, the tracer gas may be appropriately selected according to the properties of the air pollutant whose concentration is to be predicted.

Next, in step S102, the C _EF calculation means 4 calculates the tracer gas concentration C _EF at the concentration prediction point by a plume puff model that does not consider the topography, using the same conditions as the on-site diffusion experiment in step S101. To do. That is, the tracer gas concentration C _EF at the point where the concentration should be predicted using the plume puff model based on the conditions such as the point where the tracer gas was diffused during the field diffusion experiment, the wind direction during the experiment, the wind speed, and the atmospheric conditions. Calculate. However, regarding the terrain conditions of the plume puff model,
Calculation is performed assuming that the ground is flat.

Next, in step S103, the C _EG calculation means 6 calculates the tracer gas concentration C _EG at the point where the concentration should be predicted. The calculation by the C _EG calculation unit 6 is the same as that in step S102 except that the local topographical conditions are added to the plume puff model.

Next, in step S104, the first determining means 16 compares the tracer gas concentration C _E input in step S101 with the tracer gas concentration C _EF calculated in step S102, and C _EF is C
If it is within the predetermined error range with respect to _E , it is determined to be the first case, and the process proceeds to step S105. In particular,
The correlation coefficient between C _EF and C _E is calculated for each corresponding prediction point, and if the value is equal to or greater than a predetermined value, the first
It is determined that Alternatively, the determination may be made based on any other appropriate criterion.

When C _EF is not within the predetermined error range with respect to C _E , the tracer gas concentration C _E and the tracer gas concentration C _EG calculated in step S103 are further calculated.
Are compared. If C _EG is within the predetermined error range with respect to C _E , it is determined to be the second case, and step S108 is performed.
Proceed to. Specifically, when the correlation coefficient between C _EG and C _E is greater than or equal to a predetermined value, and the concentration value of C _{E G} corresponding to that is greater than the concentration value of C _E at each point. When it is larger, that is, when the value calculated by the plume-puff model is on the safe side, the second case is determined. Alternatively, the determination may be made based on any other appropriate criterion. Also, in the first case,
If neither of the second cases is applicable, an appropriate message is displayed on the output means 22 and the process is terminated.

Next, in step S105, a wind tunnel experiment using a flat plate model is performed, and the experiment result is used as the C _WRF input means 8
Input into the concentration predicting apparatus 1 by the above, and further, the wind tunnel experiment by the terrain model is conducted, and the experimental result is C _WRG input means 10
Is input to the concentration prediction device 1. In the wind tunnel experiment using a terrain model, an actual chimney and a model of the point where the concentration of air pollutants should be predicted are manufactured based on a fixed scale. Using the manufactured model, the tracer gas concentration at each concentration prediction point is measured for any wind direction and wind speed at which the concentration should be predicted.

Next, in step S106, the C _RF calculating means 12 calculates the air pollutant concentration C _RF at the point where the concentration should be predicted. The calculation by the C _RF calculation means 12 is
Actual air pollutant diffusion conditions such as actual chimney height,
Also, conditions such as arbitrary wind direction, wind speed, and atmospheric condition for which the concentration should be predicted are substituted into the variables of the plume puff model. However, regarding the topographical conditions of the area where the concentration should be predicted, the calculation shall be performed on flat ground.

In step S107, step S105
Wind tunnel test result C input in _WRGAnd step S
Air pollutant concentration C calculated in 107_RFBut the
2 Compared by the judging means 18, C_RFIs C_WRGAgainst
C is within a predetermined error range, C_RFIs each prediction point
Is determined as the predicted concentration value of. Specifically, C_RFAnd C
_WRGIf the correlation coefficient between the
And C at each point_WRFC corresponding to the density value of_RF
If the density value of is larger, that is, the plume puff model
If the calculated value by_RFIs each predicted location
It is determined as the concentration predicted value of the point. Also, any other suitable
You may make a decision according to various standards. Concentration predicted value is determined
If so, the process proceeds to step S111. Also, C_RFBut
If it is not within the specified error range, an appropriate message is
It is displayed on the output means 22 and the process is terminated.

On the other hand, if it is determined in step S104 that the case is the second case, the process proceeds to step S108. In step S108, a wind tunnel experiment using a terrain model is performed.
The result of the experiment is input to the concentration prediction device 1 by the C _WRG input means 10. In this wind tunnel experiment, step S10 is to make a model of an area where the concentration of air pollutants should be predicted.
5, but the terrain around the chimney is also reproduced here as a model based on a fixed scale.

Next, in step S109, the C _RG calculation means 14 calculates the air pollutant concentration C _RG at the point where the concentration should be predicted. The calculation by the C _RG calculation means 14 is
The plume puff model is the same as step S106 except that the actual topography of the area where the air pollutant concentration is to be predicted is added to the calculation.

In step S110, step S108
Wind tunnel test result C input in _WRGAnd step S
Air pollutant concentration C calculated in 109_RGBut the
3 Judgment means 20 compares and C_RGIs C_WRGAgainst
C is within a predetermined error range, C_RGIs each prediction point
Is determined as the predicted concentration value of. Specifically, C_RGAnd C
_WRGIf the correlation coefficient between the
And C at each point_WRGC corresponding to the density value of_RG
When the density value of is larger, C_RGIs the concentration forecast at each forecast point
Determined as a measured value. Also, according to any other appropriate criteria
You may decide. Also, C_RGIs the predetermined error range
If not, an appropriate message is output to the output means 22.
Display and end the process.

In step S111, step S107
Alternatively, the predicted concentration value of the air pollutant determined in step S110 is output from the printer which is the output unit 22. In step S111, the determination process of the predicted value such as the correlation coefficient calculated by the first to third determining means may be displayed in addition to the predicted concentration value at each point.

According to the first embodiment of the present invention, on-site diffusion
Experimental tracer gas concentration C _E, Plume puff
Concentration calculation value C by model_EF, C_EG, C_RF, C_RG, And
And air pollutant concentration C by wind tunnel experiment_WRF, C_WRGuse
Use the highly accurate predicted value of air pollutant concentration, or
It is possible to obtain a predicted value of air pollutant concentration on the safe side.
That is, C from the field diffusion experiment_EAnd Plume Puffmode
C by Le_EF, C_EGBy comparing with
To understand the calculation accuracy of the Mu Puff model and the effect of topography.
You can In addition, C from a wind tunnel experiment_WRF, C_WRGAnd
C by room puff model_RF, C_RGComparing with
Depending on the actual conditions of diffusion of air pollutants from the chimney, etc.
Forecast accuracy and weather conditions different from those during field diffusion experiments
It is possible to grasp the prediction accuracy in each case. Furthermore,
Finally, the concentration of air pollutants by the plume puff model
Since the accuracy of calculation of the temperature prediction value can be grasped, it will be
Understand the prediction accuracy in difficult-to-present non-neutral atmospheric conditions
You can

Next, a second embodiment of the present invention will be described with reference to FIG. The concentration predicting apparatus according to the second embodiment is
The first embodiment differs from the first embodiment in that the input means for inputting the experimental result of the wind tunnel experiment performed under the same conditions as the local diffusion experiment is provided, and the result of the local diffusion experiment and the result of the wind tunnel experiment are compared. Therefore, only different points from the first embodiment will be described, and description of the same points will be omitted.

The concentration predicting apparatus according to the second embodiment of the present invention is, in addition to the concentration predicting apparatus according to the first embodiment, a C for inputting the experimental result of the wind tunnel experiment conducted under the same conditions as the field diffusion experiment. _{It has a WEG} input means (not shown) and a comparison means (not shown) for comparing the input C _WEG with the tracer gas concentration C _E by the field diffusion experiment.

Next, the operation of the concentration predicting apparatus according to the second embodiment of the present invention will be described. FIG. 3 is a flowchart showing the operation of the concentration predicting device according to the second embodiment. Figure 3
As shown in, in step S201, the tracer gas concentration C _E measured by the on-site diffusion experiment is input by the C _E input means. This process is similar to step S101 of the first embodiment.

Next, in step S202, the tracer gas concentration C _WEG measured by the wind tunnel experiment is input by the C _WEG input means (not shown). In this wind tunnel experiment, the height of the tracer gas diffused in the on-site diffusion experiment, the topography of the area where the concentration should be predicted, etc. are reproduced by the wind tunnel experiment model, and the weather conditions such as wind direction and wind speed etc. Reproduce the conditions. However, if the atmospheric state was non-neutral during the field diffusion experiment, it is difficult to reproduce it in the wind tunnel experiment. Therefore, the atmospheric state is replaced with the neutral state to perform the wind tunnel experiment.

Next, in step S203, step S
C _E input in 201 is compared with C _WEG input in step S202, and if C _WEG is within a predetermined error range, the process proceeds to step S204. That is, when the correlation coefficient between C _E and C _WEG is greater than or equal to a predetermined value, and the value of each C _WEG is
If it is larger than the corresponding C _E value, that is, if it is on the safe side, the process proceeds to step S204. If C _WEG is not within the predetermined error range, an appropriate message is displayed on the output means and the process is terminated.

Subsequent Steps S204 to S2
The processing in 13 is step S in the first embodiment.
Since the processing is the same as the processing in steps 102 to S111, description thereof will be omitted.

According to the second embodiment of the present invention, since the result of the wind tunnel experiment can be verified by the on-site diffusion experiment, it is possible to obtain a more reliable concentration prediction value.

Next, a third embodiment of the present invention will be described with reference to FIG. The concentration predicting apparatus according to the third embodiment is
The difference from the first embodiment is that data of on-site diffusion experiment is not required. Therefore, only different points from the first embodiment will be described, and description of the same points will be omitted.

The concentration predicting apparatus according to the third embodiment of the present invention comprises C _WRF input means (not shown) for inputting the tracer gas concentration C _WRF at the concentration predicting point by a wind tunnel experiment using a flatland model. According to a wind tunnel experiment using a terrain model,
Using the C _WRG input means (not shown) for inputting the tracer gas concentration C _WRG at the concentration prediction point and the actual atmospheric pollutant diffusion conditions, the atmosphere at the concentration prediction point is measured by a plume puff model that does not consider the topography. Contaminant concentration C _RF
To calculate the air pollutant concentration C _RG at the concentration prediction point by the plume puff model considering the topography using C _RF calculation means (not shown) for calculating C _RG calculation means (not shown)
And.

Further, the concentration predicting device is
Tracer gas concentration C at point _WRFAt the maximum of
A CM_WRFAnd tracer gas concentration C_WRGAt the maximum of
A CM_WRGAnd the ratio α_WRΑ for calculating_WRTotal
Atmosphere by calculation means (not shown) and calculation at each point
Contaminant concentration C_RFCM which is the maximum value in_RFAnd air pollution
Substance concentration C_RGCM which is the maximum value in_RGAnd the ratio α
_RΑ for calculating_RWith calculation means (not shown)
It Furthermore, the concentration predictor is_WRAnd α_RBased on the value of
To correct the calculation result of the plume puff model, or
Alternatively, the first judgment means (not shown in the figure) that directly uses the predicted concentration value
No.) and the second judgment means (not shown), and the obtained concentration
Output means (not shown) for outputting the degree prediction value,
Have.

Next, the operation of the third embodiment of the present invention will be described. FIG. 4 is a flowchart showing the operation of the third embodiment of the present invention. First, steps S301 and S30
2, the tracer gas concentration C from the wind tunnel experiment
_WRF and C _WRG are input respectively. These steps are
This is the same as steps S105 and S108 in the first embodiment.

Next, in step S303, CM _WRF , which is the maximum value in the tracer gas concentration C _WRF at each point in the wind tunnel experiment, and the tracer gas concentration C _WRG.
The maximum value of CM _WRG is selected, and their ratio α _WR (= CM _WRG / CM _{WR F} ) is calculated.

Next, in steps S304 and S305, the air pollutant concentrations C _RF and C _RG by the plume puff model are calculated, respectively. These steps are
This is the same as steps S106 and S109 in the first embodiment, respectively.

Next, in step S306 is the maximum value of the CM _RF is the maximum value among the air pollutants concentration C _RF, among atmospheric pollutants concentration C _RG at each point by plume Pafumoderu CM _RG Are selected and their ratio, α _R (= CM _RG / CM _{R F} ) is calculated.

In step S307, first, α _R
Value is compared with the value of α _WR , and if the value of α _R is larger, the calculation by the plume puff model is more affected by the topography, so the calculated value by the plume puff model is safe. Therefore, the air pollutant concentration C _RG is determined as the concentration predicted value.

On the other hand, when the value of α _WR is larger than the value of α _R, the calculation result by the plume puff model is corrected. That is, the concentration predicted value is a value obtained by multiplying the air pollutant concentration C _RG by the value of α _WR / α _R. Further, the calculation result by the plume puff model may be corrected by any other appropriate method. For example, the concentration predicted value may be obtained by multiplying the air pollutant concentration C _RF by the value of α _WR . Finally, in step S308, the predicted concentration value obtained in step S307 is output, and the process ends.

According to the third embodiment of the present invention, it is possible to obtain a highly accurate or safe side predicted concentration value without conducting a field diffusion experiment.

Next, a fourth embodiment of the present invention will be described with reference to FIG. The concentration predicting device according to the fourth embodiment is
The difference from the first embodiment is that the annual average value of the air pollutant concentration is calculated. Therefore, only different points from the first embodiment will be described, and description of the same points will be omitted.

The concentration predicting apparatus according to the fourth embodiment of the present invention uses the actual air pollutant diffusion conditions to calculate the annual average value C _YF of the air pollutant concentration at the concentration predicting point by the plume puff model which does not consider the topography. Using the C _YF calculation means (not shown) for calculation and the actual air pollutant diffusion conditions, calculate the annual average air pollutant concentration C _YG at the concentration prediction point by the plume puff model considering the topography C _YG calculation means (not shown) to do so, and the atmospheric average of pollutant concentration by the plume puff model that neutralizes the atmospheric stability of the meteorological data of the region for which the atmospheric pollutant concentration is predicted and does not consider the topography. C _Ynf calculating means for calculating the C _Ynf (not shown), to neutralize the atmospheric stability, air pollutants concentration annual average by plume Pafumoderu considering terrain Having a C _YNG calculating means for calculating _YNG (not shown).

Further, the concentration predicting device is arranged to neutralize the state of the atmosphere.
Annualized air pollutant concentration C _YNFAnd neutralize
Not C_YFAnd compare that it is within the specified error range.
First confirmation means (not shown) for confirmation and air pollutant concentration
Annual average C_YFCM which is the maximum value in_YFAnd air pollutants
Quality concentration annual average C_YNFCM which is the maximum value in_YNFRatio with
Is α_NΑ for calculating_NCalculation means (not shown)
And.

Further, the concentration predicting apparatus uses a flat ground model, and C _WYNF input means (not shown) for inputting the tracer gas concentration annual average value C _WYNF by a wind tunnel experiment in which the atmospheric condition is neutralized, and topography. Yearly average value C of tracer gas concentration in a wind tunnel experiment in which the atmospheric conditions are neutralized using a model
And C _WYNG input means for inputting _WYNG (not shown),
Have.

Further, the concentration predicting apparatus is arranged so that the atmospheric condition is neutral.
Annualized air pollutant concentration C _YNFAnd in the wind tunnel experiment
Tracer gas concentration by yearly average value C_WYNFCompare with
The second confirmation means (Fig.
(Not shown) and tracer gas concentration annual average value C_WYNFIn
The maximum CM_WYNFAnd tracer gas concentration annual average value C
_WYNGCM which is the maximum value in_WYNGAnd the ratio α_WNTotal
Α to calculate_WNAnd a calculation means (not shown).

Further, the concentration predicting device compares the air pollutant concentration _yearly average values C _YF and C _YG with each other to determine a provisional air pollutant concentration yearly average predicted value (not shown).
And the provisional air pollutant concentration annual average predicted value and the tracer gas concentration annual average value C _WYNG to determine the air pollutant concentration annual average predicted value (not shown).
And a provisional air pollutant concentration _yearly average value, tracer gas concentration _yearly average value C _WYNG , α _WN and α _WN are compared to determine an air pollutant concentration _yearly average predicted value third determination means (not shown). ) And an output unit (not shown) for outputting the obtained predicted concentration value.

Next, the operation of the fourth embodiment of the present invention will be described. FIG. 5 is a flowchart showing the operation of the fourth embodiment of the present invention. First, in step S401, C _YF
The calculation means calculates the air pollutant concentration annual average value C _YF using the plume puff model. The value of C _YF is
It is a value calculated as flat land using actual air pollutant diffusion conditions such as the height of the chimney and not taking into account the effects of topography. In addition, weather conditions such as wind direction, wind speed, atmospheric conditions,
It is calculated based on the actual weather data of the area where concentration prediction is to be made. That is, the yearly average value of air pollutant concentration C _YF is calculated by calculating the air pollutant concentration at the concentration prediction point based on each meteorological data for one year = 8760 hours or data obtained by statistically processing the data. Becomes This calculation is performed for each concentration prediction point.

Next, in step S402, the C _YG calculating means calculates the annual average value C _{YG of the} air pollutant concentration using the plume puff model. Calculation of C _YG, except that it considering the influence of terrain in plume Pafumoderu is similar to step S401.

Next, at step S403, the C _YNF calculating means calculates the atmospheric pollutant concentration annual average value C _YNF in which the atmospheric condition is neutralized using the plume puff model. Neutralization means that the atmospheric state in the meteorological data in which the atmospheric state is classified into the non-neutral state (stable state and unstable state) among the above-mentioned 8760-hour meteorological data is replaced with the neutral state. It means to calculate. In general, of the meteorological data, the data in which the atmospheric state is classified into a non-neutral state is about 30 to 40% of the whole meteorological data.
The calculation of C _YNF is performed in step S4, except that neutralization is performed.
It is similar to the calculation in 01.

Next, in step S404, the C _YNG calculating means calculates the atmospheric pollutant concentration annual average value C _YNG in which the atmospheric condition is neutralized using the plume puff model. The calculation of _{CYNG is the same as} the calculation in step S402, except that neutralization is performed.

In steps S403 and S404, the atmospheric condition is neutralized for calculation, but instead of neutralizing, only the data in which the atmospheric condition is neutral is selected from the annual meteorological data. You may extract and calculate the annual average value of air pollutant concentration.

Next, in step S405, the first check means, are compared air pollutant concentration annual average C _YF and C _Ynf, confirmed that C _Ynf is within a predetermined error range with respect to C _YF Then, the process proceeds to step S406. Specifically, when the correlation coefficient between C _YNF and C _YF is equal to or greater than a predetermined value, and when each value of C _YF is larger than each value of C _YNF , the process proceeds to step S406. In other cases, it is preferable to issue a warning to that effect and terminate the processing.

Next, in step S406, α_NCalculator
Concentration of air pollutants at each concentration prediction point
Annual average C_YNFCM which is the maximum value in_YNFAnd the air pollution
Annual average value of substance concentration C_YNGCM which is the maximum value in_YNGIs selected
And their ratio α _N(= CM_YNG/ CM_YNF)
Is calculated.

Next, in step S407, the annual average value C _WYNF of the tracer gas concentration in the wind tunnel experiment is input by the C _WYNF input means. C _WYNF is a wind tunnel experiment
These are the data measured using a flat land model under actual air pollutant diffusion conditions. In addition, the meteorological condition in the wind tunnel experiment is set based on actual meteorological data in which the atmospheric condition is neutralized.

An example of a method of obtaining an annual average value of air pollutant concentration by a wind tunnel experiment will be described. First, the annual meteorological data is classified into 3 to 5 classes according to wind speed. Next, the wind direction is classified into 16 wind directions, and the appearance frequency of each wind direction is calculated for each class of wind speed. On the other hand, the model used for the wind tunnel experiment is placed on a turntable and supported so that the rotation can be controlled in the wind tunnel. In the wind tunnel experiment, the tracer gas concentration at each concentration prediction point is measured while rotating the turntable at a speed according to the appearance frequency of each wind direction for each class of wind speed. That is, when the model is oriented in the direction of wind with high frequency of appearance, the turntable is rotated at a low rotation speed, and when it is oriented in the direction of low frequency of appearance, the turntable is rotated with high speed of rotation. 1
Rotate. Thereby, it is possible to obtain the average value of the densities weighted by the appearance frequency of each wind direction at each concentration prediction point. This measurement is performed for each class of wind speed, and the weighted average of the measurement results is calculated according to the frequency of appearance of each class of wind speed to obtain the annual average value of the tracer gas concentration based on the meteorological conditions of the area where the concentration should be predicted. You can ask. Of the meteorological conditions, the atmospheric condition is limited to a neutral condition that can be reproduced in a wind tunnel experiment, so the annual average concentration measured by such a wind tunnel experiment is inevitably converted to neutralized meteorological data. Will be based.

Next, in step S408, the _CWYNG input means inputs the annual average value C _WYNG of the tracer gas concentration in the wind tunnel experiment. The wind tunnel experiment for _obtaining C _WYNG is the same as the wind tunnel experiment in step S407, except that a model that reproduces the terrain is used for the wind tunnel experiment.

In steps S407 and S408,
The wind tunnel experiment is conducted by neutralizing the meteorological data of the area where the concentration should be predicted.However, the wind tunnel experiment is conducted by giving the experimental conditions extracted only from the meteorological data when the atmospheric condition is the neutral condition, and the tracer gas The annual average concentration value may be measured.

Next, at step S409, the average value C of the air pollutant concentration neutralized by the second confirmation means is calculated.
_{If YNF} and C _WYNF are compared and it is confirmed that C _YNF is within a predetermined error range with respect to C _WYNF , step S41.
Go to 0. Specifically, if the correlation coefficient between C _YNF and C _WYNF is greater than or equal to a predetermined value, the process proceeds to step S410. In other cases, it is preferable to issue a warning to that effect.

Next, in step S410, the alpha _WN calculating means, and the CM _WYNF a maximum value among the tracer gas concentration annual mean C _WYNF, the maximum value in the tracer gas concentration annual average C _{WY NG} Certain CM _WYNG are selected and their ratio α _WN (= CM _WYNG / CM _WYNF ) is calculated.

Next, in step S411, the first judgment
Provisional annual pollutant concentration annual average forecast value is determined by the step
To be done. First, air pollutant concentration annual average value C_YFAnd C_YGWhen
And the correlation coefficient between them is greater than or equal to a predetermined value.
C_YFThe provisional air pollutant concentration annual average forecast value
If the correlation coefficient is smaller than a predetermined value, C _YG
Is a temporary air pollutant concentration annual average predicted value.

Next, in step S412, the second determination means compares the temporary air pollutant concentration _yearly average value determined in step S411 with the tracer gas concentration _yearly average value C _WYNG by the wind tunnel experiment, and If the yearly average predicted value of the air pollutant concentration of is larger, step S41
3; otherwise, to step S414.
In step S413, the provisional atmospheric pollutant concentration annual average predicted value determined in step S411 is determined as the air pollutant concentration annual average predicted value.

In step S414, the third judgment means determines.
First, α calculated in step S406_NAnd
Α calculated in step S410_WNAre compared and α_WNWho
Is large, and C is used as a provisional air pollutant concentration annual average predicted value.
_YGIs adopted in step S411,
Tentative air pollutant concentration_WN/ Α_N)
Value is calculated by multiplying the value of
Determined as the average predicted value. Furthermore, by the fourth judging means,
Α calculated in step S406_NAnd step S41
Α calculated as 0_WNAre compared and α_WNIs larger and tentative
C as an annual average predicted value of air pollutant concentration_YFWas adopted
The average annual air pollutant concentration C _YFTo α_WNAnother value
The value multiplied by is determined as the yearly average value of air pollutant concentration
It Alternatively, the yearly average value C of air pollutant concentration_YF, Α_WNor
Is α_NThe value obtained by multiplying the value of
You may decide. Finally, in step S415
The concentration prediction obtained in step S413 or S414.
The measured value is output and the process ends.

Next, a fifth embodiment of the present invention will be described with reference to FIG. The concentration predicting apparatus according to the fifth embodiment is
The fourth embodiment differs from the fourth embodiment in that the calculation result by the plume-puff model and the wind tunnel test result are summed to calculate an annual average value of the air pollutant concentration. Therefore, only different points from the above embodiment will be described, and description of the same points will be omitted.

The concentration predicting apparatus according to the fifth embodiment of the present invention uses an actual air pollutant diffusion condition and uses a plume puff model which does not consider the topography, and the air pollutant at the concentration predicting point in the non-neutral state of the meteorological data. C _YDF calculation means (not shown) for calculating the annual average concentration C _YDF
And the actual air pollutant diffusion conditions, the C _YDG calculation means for calculating the annual average air pollutant concentration C _YDG at the concentration prediction point in the non-neutral state by the plume puff model considering the topography (Fig. (Not shown) and a C _YSF calculation means (not shown) for calculating the annual mean value C _YSF of the air pollutant concentration in the neutral state of the meteorological data by the plume puff model that does not consider the topography.

Further, the concentration predicting apparatus uses a flat land model, and C _WYSF input means (not shown) for inputting the tracer gas concentration annual average value C _WYSF by the wind tunnel experiment in a neutral state of the atmosphere, and a topographic model. C _WYSG input means (not shown) for inputting the tracer gas concentration annual average value C _WYSG by the wind tunnel experiment in the neutral state.

Further, the concentration predicting device _{compares the} annual average value of air pollutant concentration C _YSF in the neutral state with the annual average value of tracer gas concentration C _{WYSF obtained} by the wind tunnel experiment, and confirms that the error is within a predetermined error range. A first determining means (not shown) for comparing the annual mean value of air pollutant concentrations C _YDF and C _YDG to determine a provisional _yearly mean value of air pollutant concentration (not shown) ), And a predicted value calculation means (not shown) for calculating the annual average predicted value of the air pollutant concentration by a weighted average of the provisional annual average predicted value of the air pollutant concentration and the tracer gas concentration annual average value C _WYSG, and Output means (not shown) for outputting the obtained predicted concentration value.

Next, the operation of the fifth embodiment of the present invention will be described. FIG. 6 is a flowchart showing the operation of the fifth embodiment of the present invention. First, in step S501, C
_{The YDF} calculation means calculates the yearly average air pollutant concentration C _{YD F} using the plume puff model. Step S501 is the step S401 of the fourth embodiment except that in the calculation by the plume-puff model, the annual average value of the air pollutant concentration is calculated from the annual meteorological data excluding the data in which the atmosphere is in a neutral state. Since it is similar to the above, detailed description will be omitted.

Next, in step S502, the C _YDG calculating means calculates the _yearly average air pollutant concentration C _YDG using the plume puff model. Step S50
2 is the same as step S501 except that the topography of the area for which the density is to be predicted is added in the calculation by the plume puff model, and thus detailed description will be omitted.

Next, in step S503, the C _YSF calculating means calculates the air pollutant concentration annual average value C _YSF using the plume puff model. Step S50
3 is the same as step S501 except that in the calculation by the plume puff model, the annual average value of the air pollutant concentration is calculated from the annual meteorological data excluding the data in which the atmosphere is in a non-neutral state. Detailed description is omitted.

Next, at step S504, the C _WYSF input means inputs the annual average value C _WYSF of the tracer gas concentration by the wind tunnel experiment. Step S504 is the same as step S407 of the fourth embodiment except that the wind tunnel experiment is performed by giving the weather data excluding the data in which the atmosphere is in a non-neutral state from the annual weather data, and thus is detailed. The description is omitted.

Next, in step S505, the annual average value C _WYSG of the tracer gas concentration in the wind tunnel experiment is input by the C _WYSG input means. Step S505 is the same as step S504 except that a model that reproduces the terrain of the region where concentration prediction is to be performed is used in the wind tunnel experiment, and therefore detailed description thereof is omitted.

Next, in step S506, the first confirming means compares the annual pollutant gas concentration annual average value C _WYSF by the plume puff _model with the tracer gas concentration annual average value C _WYSF by the wind tunnel experiment, and C _YSF is C _WYSF. On the other hand, if it is within the predetermined error range, the process proceeds to step S507. When C _YSF is not within the predetermined error range, a warning indicating that fact may be issued and the process may be terminated.

Next, in step S507, the provisional atmospheric pollutant concentration annual average predicted value is determined by the first determining means. The air pollutant concentration annual average values C _YDF and C _YDG are compared, and when the difference is within a predetermined error range, C _YDF is _set as a provisional air pollutant concentration annual average predicted value,
If it is not within the predetermined error range, _CYDG is used as a provisional average annual air pollutant concentration forecast value. Specifically, if the correlation coefficient between C _YDF and C _YDG is a predetermined value or more, C
_YDF is _assumed to be a temporary air pollutant concentration annual average forecast value.

Next, in step S508, the predicted value calculating means calculates the annual average predicted value of the air pollutant concentration. That is, the weighted average of the provisional average annual air pollutant concentration forecast value and the tracer gas concentration annual average value C _{WYSG obtained} by the wind tunnel experiment according to the frequency of appearance of the non-neutral and neutral states of the atmosphere in the annual meteorological data Is calculated and that value is used as the annual average predicted value of air pollutant concentration. For example, when the non-neutral state of the atmosphere appears with a frequency of 30% and the neutral state appears with a frequency of 70%, multiply the provisional air pollutant concentration annual average predicted value by 0.3 to obtain the tracer gas concentration. The value obtained by multiplying the annual average value C _WYSG by 0.7 and adding it is the air pollutant concentration annual average predicted value. Finally, in step S509, the output means displays the annual average pollutant concentration predicted value.

As a modified example, in the fifth embodiment, the atmospheric state is classified into non-neutral state and neutral state for calculation, but the atmospheric state is classified into an unstable state (indicated by a suffix U) and a non-neutral state. It is also possible to classify into an unstable state (stable state and neutral state (indicated by a subscript T)), calculate the unstable state by the plume puff model, and obtain the non-unstable state by a wind tunnel experiment.

Next, a sixth embodiment of the present invention will be described with reference to FIG. The concentration predicting apparatus according to the sixth embodiment is
It differs from the fourth embodiment in that the annual average value of the air pollutant concentration is calculated without correction. Therefore, only different points from the fourth embodiment will be described, and description of the same points will be omitted.

The concentration predicting apparatus according to the sixth embodiment of the present invention uses the actual air pollutant diffusion conditions to calculate the yearly average value C _YF of the air pollutant concentration at the concentration predicting point by the plume puff model which does not consider the topography. Using the C _YF calculation means (not shown) for calculation and the actual air pollutant diffusion conditions, calculate the annual average air pollutant concentration C _YG at the concentration prediction point by the plume puff model considering the topography C _YG calculation means (not shown) to do so, and the atmospheric average of pollutant concentration by the plume puff model that neutralizes the atmospheric stability of the meteorological data of the region for which the atmospheric pollutant concentration is predicted and does not consider the topography. C _Ynf calculating means for calculating the C _Ynf (not shown), to neutralize the atmospheric stability, air pollutants concentration annual average by plume Pafumoderu considering terrain Having a C _YNG calculating means for calculating _YNG (not shown).

Further, the concentration predicting device determines that the atmospheric condition is neutral.
Annualized air pollutant concentration C _YNFAnd neutralize
Not C_YFIs within the specified error range, or
The first confirmation means (Fig.
(Not shown).

Further, the concentration predicting device uses a flat ground model, and C _WYNF input means (not shown) for inputting the tracer gas concentration annual average value C _WYNF by the wind tunnel experiment in which the atmospheric condition is neutralized, and the terrain. Yearly average value C of tracer gas concentration in a wind tunnel experiment in which the atmospheric conditions are neutralized using a model
And C _WYNG input means for inputting _WYNG (not shown),
Have.

Further, the concentration predicting device determines that the atmospheric condition is neutral.
Annualized air pollutant concentration C _YNFAnd in the wind tunnel experiment
Tracer gas concentration by yearly average value C_WYNFCompare with
Within a certain error range or a predicted value on the safe side
The second confirmation means (not shown) for confirming the
Annual tracer gas concentration C_WYNFAnd C_WYNGAnd ratio
Comparison, within the specified error range or with a predicted value on the safe side
Third confirmation means (not shown) for confirming that there is an atmosphere
Pollutant concentration annual average C_YGAnd tracer gas concentration annual average
Value C_WYNGCompared with
The first determining means (not shown) for determining and the obtained concentration prediction
An output means (not shown) for outputting the measured value,
It

Next, the operation of the sixth embodiment of the present invention will be described. FIG. 7 is a flowchart showing the operation of the sixth embodiment of the present invention. First, in step S601, C _YF
The calculation means calculates the air pollutant concentration annual average value C _YF using the plume puff model.

Next, in step S602, the C _YG calculation means calculates the yearly average air pollutant concentration C _YG using the plume puff model. The calculation of C _YG is the same as that in step S601 except that the influence of the topography is added to the plume puff model.

Next, in step S603, the C _YNF calculating means calculates the air pollutant concentration annual average value C _YNF in which the atmospheric condition is neutralized by using the plume puff model. The calculation of C _{YNF is the same as} the calculation in step S601, except that neutralization is performed.

Next, in step S604, the C _YNG calculating means calculates the air pollutant concentration annual average value C _YNG in which the atmospheric condition is neutralized by using the plume puff model. The calculation of _{CYNG is the same as} the calculation in step S602, except that neutralization is performed.

In steps S603 and S604, the atmospheric condition is neutralized for calculation, but instead of neutralizing, only the data in which the atmospheric condition is neutral is selected from the annual meteorological data. You may extract and calculate the annual average value of air pollutant concentration.

Next, in step S605, the first check means, are compared air pollutant concentration annual average C _YF and C _Ynf, confirmed that C _Ynf is within a predetermined error range with respect to C _YF Then, the process proceeds to step S606. Specifically, if the correlation coefficient between C _YNF and C _YF is greater than or equal to a predetermined value, and if each value of C _YF is larger than each value of C _YNF , the process proceeds to step S606. In other cases, it is preferable to issue a warning to that effect and terminate the processing.

Next, in step S606, the annual average value C _WYNF of the tracer gas concentration in the wind tunnel experiment is input by the C _WYNF input means. C _WYNF is a wind tunnel experiment
These are the data measured using a flat land model under actual air pollutant diffusion conditions. In addition, the meteorological condition in the wind tunnel experiment is set based on actual meteorological data in which the atmospheric condition is neutralized.

Next, in step S607, the tracer gas concentration annual average value C _WYNG by the wind tunnel experiment is input by the C _WYNG input means. The wind tunnel experiment for _obtaining C _WYNG is the same as the wind tunnel experiment in step S606, except that a model that reproduces the terrain is used for the wind tunnel experiment.

In steps S606 and S607,
The wind tunnel experiment is conducted by neutralizing the meteorological data of the area where the concentration should be predicted.However, the wind tunnel experiment is conducted by giving the experimental conditions extracted only from the meteorological data when the atmospheric condition is the neutral condition, and the tracer gas The annual average concentration value may be measured.

Next, in step S608, the second confirmation means _{compares the} annual average value C _{YNF of} the air pollutant concentration that neutralizes the atmospheric condition with the annual average value C _WYNF of the tracer gas concentration obtained by the wind tunnel experiment. If it is confirmed that the difference is within the predetermined error range, the process proceeds to step S609. Specifically, if the correlation coefficient between C _YNF and C _WYNF is greater than or equal to a predetermined value, the process proceeds to step S609. In other cases, it is preferable to issue a warning to that effect and terminate the processing.

Next, in step S609, the average value C of the air pollutant concentration neutralized by the third confirmation means is calculated.
_{If WYNG} and C _WYNF are compared and it is confirmed that C _WYNG is within a predetermined error range with respect to C _WYNF , step S6
Go to 10. Specifically, if the correlation coefficient between C _{WY NG} and C _WYNF is greater than or equal to a predetermined value, the process proceeds to step S610. In other cases, it is preferable to issue a warning to that effect.

Next, at step S610, the first determination means compares the air pollutant concentration _yearly average value C _YG with the tracer gas concentration _yearly average value C _WYNG, and the calculated value on the safe side is the air pollutant concentration. Determined as annual average forecast value. Finally, in step S611, step S6
The predicted concentration value determined in 10 is output, and the process ends.

Next, a seventh embodiment of the present invention will be described with reference to FIG. The concentration predicting apparatus according to the seventh embodiment is
This is different from the fifth embodiment in that the calculation result considering the topography by the plume / puff model is not used. Therefore, only different points from the above embodiment will be described, and description of the same points will be omitted.

The concentration predicting apparatus according to the seventh embodiment of the present invention uses the actual air pollutant diffusion conditions and uses the plume puff model which does not take the topography into consideration, and the air pollutant at the concentration predicting point in the non-neutral state of the meteorological data. C _YDF calculation means (not shown) for calculating the annual average concentration C _YDF
And a C _YSF calculation means (not shown) for calculating the annual mean air pollutant concentration C _YSF in the neutral state of the meteorological data by the plume puff model that does not consider the topography,
Have.

Further, the concentration predicting apparatus uses a flat land model, C _WYSF input means (not shown) for inputting the tracer gas concentration annual average value C _WYSF by the wind tunnel experiment in a neutral state of the atmosphere, and a topographic model. C _WYSG input means (not shown) for inputting the tracer gas concentration annual average value C _WYSG by the wind tunnel experiment in the neutral state.

[0110] Also, ensure that the concentration prediction unit compares the air pollutants concentration annual mean C _YSF in neutral state, and a tracer gas concentration annual average C _WYSF by wind tunnel testing, is within a predetermined error range Prediction value calculation means for calculating the annual average pollutant concentration predicted value by the first confirmation means (not shown) and the weighted average of the atmospheric pollutant concentration annual average value C _YDF and the tracer gas concentration annual average value C _WYSG (Not shown) and output means (not shown) for outputting the obtained predicted concentration value.

Next, the operation of the seventh embodiment of the present invention will be described. FIG. 8 is a flowchart showing the operation of the seventh embodiment of the present invention. First, in step S701, C
_{The YDF} calculation means calculates the yearly average air pollutant concentration C _{YD F} using the plume puff model. Since step S701 is the same as step S501 of the fifth embodiment, detailed description thereof will be omitted.

Next, in step S702, the C _YSF calculating means calculates the air pollutant concentration annual average value C _YSF using the plume puff model. Step S70
2 is the same as step S701 in the calculation by the plume puff model, except that the annual mean air pollutant concentration is calculated from the annual meteorological data excluding the data in which the atmosphere is in a non-neutral state. Detailed description is omitted.

Next, in step S703, the C _WYSF input means inputs the annual average value C _WYSF of the tracer gas concentration in the wind tunnel experiment. Since step S703 is the same as step S504 of the fifth embodiment, detailed description will be omitted.

Next, in step S704, the tracer gas concentration annual average value C _{WYSG obtained} by the wind tunnel experiment is input by the C _WYSG input means. Step S704 is the same as step S703, except that a model that reproduces the topography of the area where the concentration should be predicted is used in the wind tunnel experiment, and therefore detailed description is omitted.

Next, in step S705, the first confirming means compares the annual pollutant gas concentration annual average value C _WYSF by the plume puff _model with the tracer gas concentration annual average value C _WYSF by the wind tunnel experiment, and C _YSF is C _WYSF. On the other hand, if it is within the predetermined error range, the process proceeds to step S706. When C _YSF is not within the predetermined error range, a warning indicating that fact may be issued and the process may be terminated.

Next, in step S706, the predicted value is calculated.
By the means, the annual average pollutant concentration predicted value is calculated.
Be done. That is, the non-neutral state of the atmosphere in the annual meteorological data
And the frequency of air pollution depending on the frequency of air pollution
Average C_YDFAnd tracer gas concentration by the wind tunnel experiment
Average C_WYSGCalculate the weighted average of the
Use the yearly average value of quality concentration. For example, the non-neutral state of the atmosphere
Appear at a frequency of 30% and a neutral state at a frequency of 70%.
If present, the annual average value of air pollutant concentration C _YDFTo
Multiply by 0.3 and tracer gas concentration annual average value C_WYSGTo
The value obtained by multiplying by 0.7 and adding up is the air pollutant concentration
It becomes the average forecast value. Finally, in step S707, the output
By means, the annual average pollutant concentration predicted value is displayed.
Be done.

As a modification, in the seventh embodiment, the atmospheric state is classified into non-neutral state and neutral state for calculation, but the atmospheric state is not stable (indicated by a suffix U) and non-neutral state. It is also possible to classify into an unstable state (stable state and neutral state (indicated by a subscript T)), calculate the unstable state by the plume puff model, and obtain the non-unstable state by a wind tunnel experiment.

Next, an eighth embodiment of the present invention will be described with reference to FIG. The concentration predicting apparatus according to the eighth embodiment is
This is different from the sixth embodiment in that the calculation result considering the topography by the plume-puff model is not used. Therefore, only the points different from the sixth embodiment will be described, and description of the same points will be omitted.

The concentration predicting apparatus according to the eighth embodiment of the present invention uses the actual air pollutant diffusion conditions to calculate the annual mean value C _YF of the air pollutant concentration at the concentration predicting point by the plume puff model without considering the topography. The C _YF calculation means (not shown) for calculating and atmospheric plume puff model which neutralizes the atmospheric stability of the meteorological data of the area where the air pollutant concentration prediction is performed and does not consider the topography C _YNF calculation means (not shown) for calculating the value C _YNF .

Further, the concentration predicting apparatus is arranged so that the state of the atmosphere is neutral.
Annualized air pollutant concentration C _YNFAnd neutralize
Not C_YFIs within the specified error range, or
The first confirmation means (Fig.
(Not shown).

Further, the concentration predicting apparatus uses a flat land model, C _WYNF input means (not shown) for inputting the tracer gas concentration annual average value C _WYNF by a wind tunnel experiment in which the atmospheric condition is neutralized, and topography. Yearly average value C of tracer gas concentration in a wind tunnel experiment in which the atmospheric conditions are neutralized using a model
And C _WYNG input means for inputting _WYNG (not shown),
Have.

Further, the concentration predicting device is arranged so that the atmospheric condition is neutral.
Annualized air pollutant concentration C _YNFAnd in the wind tunnel experiment
Tracer gas concentration by yearly average value C_WYNFCompare with
Within a certain error range or a predicted value on the safe side
Second confirmation means (not shown) for confirming the
Concentration annual average value C_YFAnd tracer gas concentration annual average value C_{WY NG}
To determine the annual mean predicted value of air pollutant concentration
The first judgment means (not shown) and the obtained predicted concentration value are output.
Output means (not shown) for applying a force.

Next, the operation of the eighth embodiment of the present invention will be described. FIG. 9 is a flowchart showing the operation of the eighth embodiment of the present invention. First, in step S801, C _YF
The calculation means calculates the air pollutant concentration annual average value C _YF using the plume puff model.

Next, in step S802, the C _YNF calculating means calculates the air pollutant concentration annual average value C _YNF in which the atmospheric condition is neutralized using the plume puff model. Calculation of C _Ynf, except that perform neutralization, it is the same as the staple calculation.

In step S802, the atmospheric condition is neutralized for calculation, but instead of neutralizing, only the data in which the atmospheric condition is neutral is extracted from the annual meteorological data. The annual average value of air pollutant concentration may be calculated.

[0126] Next, in step S803, the first check means, are compared air pollutant concentration annual average C _YF and C _Ynf, confirmed that C _Ynf is within a predetermined error range with respect to C _YF Then, the process proceeds to step S804. Specifically, when the correlation coefficient between C _YNF and C _YF is equal to or greater than a predetermined value, and when each value of C _YF is larger than each value of C _YNF , the process proceeds to step S804. In other cases, it is preferable to issue a warning to that effect and terminate the processing.

Next, in step S804, the tracer gas concentration annual average value C _{WYNF in the} wind tunnel experiment is input by the C _WYNF input means. C _WYNF is a wind tunnel experiment
These are the data measured using a flat land model under actual air pollutant diffusion conditions. In addition, the meteorological condition in the wind tunnel experiment is set based on actual meteorological data in which the atmospheric condition is neutralized.

Next, in step S805, the tracer gas concentration annual average value C _WYNG by the wind tunnel experiment is input by the C _WYNG input means. The wind tunnel experiment for _obtaining C _WYNG is the same as the wind tunnel experiment in step S804 except that a model that reproduces the topography is used for the wind tunnel experiment.

In steps S804 and S805,
The wind tunnel experiment is conducted by neutralizing the meteorological data of the area where the concentration should be predicted.However, the wind tunnel experiment is conducted by giving the experimental conditions extracted only from the meteorological data when the atmospheric condition is the neutral condition, and the tracer gas The annual average concentration value may be measured.

Next, in step S806, the second confirmation means _{compares the} annual average value C _{YNF of} the air pollutant concentration that neutralizes the atmospheric condition with the annual average value C _WYNF of the tracer gas concentration obtained by the wind tunnel experiment. If it is confirmed that it is within the predetermined error range, the process proceeds to step S807. Specifically, if the correlation coefficient between C _YNF and C _WYNF is greater than or equal to a predetermined value, the process proceeds to step S807. In other cases, it is preferable to issue a warning to that effect and terminate the processing.

Next, in step S807, the first determination means compares the annual air pollutant concentration _yearly average value C _YF and the tracer gas concentration _yearly average value C _WYNG, and the calculated value on the safe side is the air pollutant concentration. Determined as annual average forecast value. Finally, in step S808, step S8
The predicted concentration value determined in 07 is output, and the process ends.

Although the preferred embodiments of the present invention have been described above, various modifications can be made to the disclosed embodiments within the scope of the technical matters described in the claims. In particular, the calculated value of the air pollutant concentration by the three-dimensional numerical simulation may be used instead of the measurement result by the wind tunnel experiment in each of the above embodiments.

[0133]

According to the present invention, it is possible to obtain the predicted value of the concentration of the air pollutant in the surrounding area or the predicted value on the safe side without enormous experimental cost and calculation cost.

[Brief description of drawings]

FIG. 1 is a schematic block diagram of an air pollutant concentration predicting apparatus according to a first embodiment of the present invention.

FIG. 2 is a flow chart showing an operation of the air pollutant concentration predicting apparatus according to the first embodiment of the present invention.

FIG. 3 is a flow chart showing an operation of an air pollutant concentration predicting apparatus according to a second embodiment of the present invention.

FIG. 4 is a flow chart showing the operation of the air pollutant concentration prediction device according to the third embodiment of the present invention.

FIG. 5 is a flow chart showing an operation of an air pollutant concentration predicting apparatus according to a fourth embodiment of the present invention.

FIG. 6 is a flow chart showing an operation of an air pollutant concentration predicting apparatus according to a fifth embodiment of the present invention.

FIG. 7 is a flow chart showing the operation of the air pollutant concentration predicting apparatus according to the sixth embodiment of the present invention.

FIG. 8 is a flow chart showing an operation of an air pollutant concentration predicting apparatus according to a seventh embodiment of the present invention.

FIG. 9 is a flow chart showing an operation of the air pollutant concentration predicting apparatus according to the eighth embodiment of the present invention.

[Explanation of symbols]

C Concentration CM Maximum concentration Subscript D Non-neutral state extraction subscript E Field diffusion experiment subscript F Flat land subscript G Topographic subscript N Neutralization subscript R Actual diffusion condition subscript S Neutral state extraction subscript T Non-unstable state extraction subscript U Unstable state Extraction index W Wind tunnel experiment index Y Annual average α Ratio of maximum concentration 1 Air pollutant concentration predictor 2 C _E input means 4 C _EF calculation means 6 C _EG calculation means 8 C _WRF input means 10 C _WRG input means 12 C _RF calculation means 14 C _RG calculation means 16 First judgment means 18 Second judgment means 20 Third judgment means 22 Output means

Continued front page    (72) Inventor Kazuki Okabayashi             3-5-1, 717-1, Fukahori-cho, Nagasaki-shi, Nagasaki             Hishi Heavy Industries Ltd. Nagasaki Research Center (72) Inventor Nishimura Victory             3-16-11 Higashiimazato, Higashiari-ku, Osaka               Japan Meteorological Association (72) Inventor Michihiro             3-16-11 Higashiimazato, Higashiari-ku, Osaka               Japan Meteorological Association F-term (reference) 2G023 AA01 AB17 AC04 AD09

Claims (30)

[Claims] 1. The concentration of air pollutants that diffuse into the atmosphere
A method of predicting the annual average concentration at a prediction point, Meteorological data for areas where the concentration of air pollutants is predicted.
Considering topography based on wind direction, wind speed, and atmospheric stability
The concentration prediction point can be
Air pollutant concentration annual average C_YFThe step of calculating Meteorological data for areas where the concentration of air pollutants is predicted.
Considering topography based on wind direction, wind speed, and atmospheric stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YGThe step of calculating Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puffs that neutralize energy stability and do not consider terrain
Annual average of air pollutant concentration at concentration prediction point by model
Value C_YNFThe step of calculating Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puff mo with neutral stability and terrain consideration
Annual average value of air pollutant concentration at concentration prediction point by Dell
C_YNGThe step of calculating Annual average value of neutralized air pollutant concentration C_YNFBut neutralization
Not done Air pollutant concentration Annual average C_YFPrescribed against
The step of confirming that it is within the error range of Annual average value of the air pollutant concentration at each concentration prediction point
C_YNFWhich is the maximum value of_YNFAnd each concentration prediction point
Air pollutant concentration annual average value C in_YNGOut of
The maximum CM_YNGAnd the ratio α_NTo calculate
And Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a flat model based on the meteorological data
Conducted an experiment and tracer gas concentration annual average of concentration prediction point
Value C_WYNFAnd the step of finding Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a terrain model based on the established meteorological data
Conducted an experiment and tracer gas concentration annual average of concentration prediction point
Value C_WYNGAnd the step of finding Annual average value of neutralized air pollutant concentration C_YNFBut Minoru Wind
Annual tracer gas concentration C_WYNFAgainst
A step of confirming that it is within a certain error range, Annual average of the tracer gas concentration at each concentration prediction point
Value C_WYNFWhich is the maximum value of_WYNFAnd each concentration prediction
Annual average value of the tracer gas concentration at the point C_WYNGof
CM which is the maximum of_WYNGAnd the ratio α_WN(= CM
_YNG/ CM_YNF) Is calculated, and Annual average C of air pollutant concentration_YFAnd said air pollutants
Concentration annual average value C_YGAnd the difference between them is
C within the difference range_YFThe provisional air pollutant concentration year
Average predicted value, and the difference between them is not within the specified error range
In case C_YGIs a provisional annual pollutant concentration predicted value
Step, The temporary air pollutant concentration annual average predicted value and the tracer
-Gas concentration annual average value C _WYNGCompare with the tentative atmosphere
If the annual average pollutant concentration forecast value is large,
Temporary air pollutant concentration annual average predicted value
The step of setting the average concentration predicted value, The tentative air pollutant concentration
-Surgas concentration annual average C_WYNGIs large and before
Notation ratio α_WNIs the ratio α_NIs greater than the value of
As a provisional air pollutant concentration annual average predicted value, C_YGAdopted
If the value is (α_WN/ Α_N) Value multiplied by
The step of setting the annual average concentration predicted value of air pollutants, The tentative air pollutant concentration
-Surgas concentration annual average C_WYNGIs large and before
Notation ratio α_WNIs the ratio α_NIs greater than the value of
As a provisional air pollutant concentration annual average predicted value, C_YFAdopted
If you do_WNAir pollutant multiplied by the value of
The step of setting the annual average concentration prediction value of quality, Method for predicting the concentration of air pollutants characterized by having
Law. 2. In the step of neutralizing the atmospheric stability of the meteorological data and calculating the annual mean value of the air pollutant concentration in the area where the concentration of the air pollutant is predicted, only the meteorological data in a neutral state is extracted. Calculate the yearly average value of air pollutant concentration, and based on the meteorological data that neutralized the atmospheric stability, in the step of performing the wind tunnel experiment to obtain the yearly mean value of the tracer gas concentration, extract only the meteorological data in the neutral state. The method for predicting the concentration of air pollutants according to claim 1, wherein the tracer gas concentration annual average value is obtained. 3. Concentration of air pollutants that diffuse into the atmosphere
A method of predicting the annual average concentration at a prediction point, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with a non-neutral energy stability
The concentration prediction point can be
Air pollutant concentration annual average C_YDFThe step of calculating
When, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with a non-neutral energy stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YDGThe step of calculating From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with a neutral stability
Do not use plume puff model
Air pollutant concentration annual average C_YSFThe step of calculating Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with atmospheric stability of
We conducted a wind tunnel experiment using a flat ground model and
-Surgas concentration annual average C_WYSFAnd the step of finding Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with atmospheric stability of
We conducted a wind tunnel experiment using a terrain model, and
-Surgas concentration annual average C_WYSGAnd the step of finding Yearly average value C of air pollutant concentration in neutral state_YSFBut,
Annual average value of tracer gas concentration by wind tunnel test C_WYSFAgainst
And confirming that it is within the specified error range
When, Annual average C of air pollutant concentration_YDFAnd said air pollutants
Quality concentration annual average C_YDGAnd the difference between them is predetermined
C within the error range of_YDFThe provisional air pollutants
Concentration annual average predicted value, and the difference between them is within the specified error range
If not C _YDGThe provisional air pollutant concentration annual average forecast
The step to be the measured value, Among the meteorological data, the atmospheric stability is neutral or non-neutral
The provisional air pollutant concentration year
Average predicted value and the annual average value C of the tracer gas concentration_WYSG
Predicted annual average concentration of air pollutants by weighted average with
The step of calculating Method for predicting the concentration of air pollutants characterized by having
Law. 4. The method for predicting the concentration of air pollutants according to claim 1, wherein a calculation result of a three-dimensional numerical simulation is used instead of the wind tunnel experiment. 5. A method for predicting the concentration of an air pollutant diffused in the atmosphere at a concentration prediction point, the calculated value of the air pollutant concentration by a plume puff model considering the topography, and the plume not considering the topography. By using the air pollutant concentration calculated value by the puff model and the experimental result of the wind tunnel experiment in combination, it is possible to confirm the accuracy of the air pollutant concentration predicted value or to confirm that it is a safe side prediction. A method for predicting the concentration of characteristic air pollutants. 6. An area where the concentration of air pollutants is predicted,
Based on wind direction, wind speed, and atmospheric stability, which are meteorological data
And the plume puff model that doesn't consider the terrain
Annual average value C of air pollutant concentration at concentration prediction point_YFCalculate
C for_YFCalculation means, Meteorological data for areas where the concentration of air pollutants is predicted.
Considering topography based on wind direction, wind speed, and atmospheric stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YGC to calculate_YGCalculation
Means and Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puffs that neutralize energy stability and do not consider terrain
Annual average of air pollutant concentration at concentration prediction point by model
Value C_YNFC to calculate_YNFCalculation means, Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puff mo with neutral stability and terrain consideration
Annual average value of air pollutant concentration at concentration prediction point by Dell
C_YNGC to calculate_YNGCalculation means, Annual average value of neutralized air pollutant concentration C_YNFBut neutralization
Not done Air pollutant concentration Annual average C_YFPrescribed against
Confirm that it is within the error range of
If there is no first confirmation means for issuing a warning, Annual average value of the air pollutant concentration at each concentration prediction point
C_YNFWhich is the maximum value of_YNFAnd each concentration prediction point
Air pollutant concentration annual average value C in_YNGOut of
The maximum CM_YNGAnd the ratio α_N(= CM_YNG/ CM
_YNF) To calculate_NCalculation means, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a flat model based on the meteorological data
Annual average value of tracer gas concentration at concentration prediction point C
_WYNFC to enter_WYNFInput means, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a terrain model based on localized weather data
Annual average value of tracer gas concentration at concentration prediction point C
_WYNGC to enter_WYNGInput means, Annual average value of neutralized air pollutant concentration C_YNFBut Minoru Wind
Annual tracer gas concentration C_WYNFAgainst
Confirm that it is within the specified error range, and within the specified error range.
Second confirmation means to issue a warning if not Annual average of the tracer gas concentration at each concentration prediction point
Value C_WYNFWhich is the maximum value of_WYNFAnd each concentration prediction
Annual average value of the tracer gas concentration at the point C_WYNGof
CM which is the maximum of_WYNGAnd the ratio α_WN(= CM
_WYNG/ CM_WYNF) To calculate_WNCalculation means, Annual average C of air pollutant concentration_YFAnd said air pollutants
Concentration annual average value C_YGAnd the difference between them is
C within the difference range_YFThe provisional air pollutant concentration
Determined as the annual average forecast value, and the difference between them is within the predetermined error range
C if not within_YGThe provisional air pollutant concentration
A first determining means for determining the average predicted value, The temporary air pollutant concentration annual average predicted value and the tracer
-Gas concentration annual average value C _WYNGCompare with the tentative atmosphere
When the annual average forecast value of pollutant concentration is large,
The provisional air pollutant concentration annual average predicted value is the air pollutant
Second determination means for determining the annual average concentration predicted value of The tentative air pollutant concentration
-Surgas concentration annual average C_WYNGIs large and before
Notation ratio α_WNIs the ratio α_NIs greater than the value of
As a provisional air pollutant concentration annual average predicted value, C_YGAdopted
If the value is (α_WN/ Α_N) Value multiplied by
Calculated and determined that value as the predicted annual average concentration of air pollutants
A third determining means for determining, The tentative air pollutant concentration
-Surgas concentration annual average C_WYNGIs large and before
Notation ratio α_WNIs the ratio α_NIs greater than the value of
As a provisional air pollutant concentration annual average predicted value, C_YFAdopted
If you do_WNAir pollutant multiplied by the value of
A fourth judging means for determining the predicted annual average concentration of quality, Output for displaying the predicted annual average concentration of air pollutants
Means and Prediction system for air pollutants characterized by having
Place Wherein said C _Ynf calculating means and said C _YNG calculation means is configured to extract only the meteorological data of the neutral state to calculate the air pollutants concentration annual average value, the C _WYNF
7. The air pollutant concentration predicting apparatus according to claim 6, wherein the input means and the C _WYNG input means input data obtained by extracting only meteorological data in a neutral state. 8. The atmosphere of the area where the concentration of air pollutants is predicted.
Data whose atmospheric stability is non-neutral are extracted from the
With a plume puff model that does not take into account the topography
Annual average value C of air pollutant concentration at concentration prediction point_YDFCalculate
C to do_{Y DF}Calculation means, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with a non-neutral energy stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YDGC to calculate_YDGTotal
Arithmetic means, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with a neutral stability
Do not use plume puff model
Air pollutant concentration annual average C_YSFC to calculate_YSFTotal
Arithmetic means, Of the local meteorological data that predict the concentration of air pollutants
Atmospheric stability is neutral based on meteorological data
Tracer of concentration prediction point by wind tunnel experiment using ground model
-Gas concentration annual average value C_WYSFC to enter_WYSFinput
Means and Of the local meteorological data that predict the concentration of air pollutants
Atmospheric stability of the ground is based on meteorological data
Tracer of concentration prediction point by wind tunnel experiment using a shape model
-Gas concentration annual average value C_WYSGC to enter_WYSGinput
Means and Yearly average value C of air pollutant concentration in neutral state_YSFBut,
Annual average value of tracer gas concentration by wind tunnel test C_WYSFAgainst
Check that the error is within the specified error range, and
A first confirmation means for issuing a warning when it is not within the range, Annual average C of air pollutant concentration_YDFAnd said air pollutants
Quality concentration annual average C_YDGAnd the difference between them is predetermined
C within the error range of_YDFThe provisional air pollutants
Concentration annual average predicted value, and the difference between them is within the specified error range
If not C _YDGThe provisional air pollutant concentration annual average forecast
A first determining means for determining the measured value; Among the meteorological data, the atmospheric stability is neutral or non-neutral
The provisional air pollutant concentration year
Average predicted value and the annual average value C of the tracer gas concentration_WYSG
Predicted annual average concentration of air pollutants by weighted average with
A predictive value calculation means for calculating Output for displaying the predicted annual average concentration of air pollutants
Means and Prediction system for air pollutants characterized by having
Place 9. The air pollutant concentration prediction apparatus according to claim 6, wherein a calculation result of a three-dimensional numerical simulation is used instead of the wind tunnel experiment. 10. A first air pollutant concentration calculation means based on a plume puff model considering terrain, a second air pollutant concentration calculation means based on a plume puff model not considering terrain, and a tracer gas concentration input means based on a wind tunnel experiment. An output unit for displaying a predicted concentration value of the air pollutant, and a wind tunnel experiment input by the tracer gas concentration input unit and the calculation results by the first and second air pollutant concentration calculation units. Based on the result, the predicted concentration value of the air pollutant whose accuracy is confirmed is output, or the predicted concentration value of the air pollutant that is confirmed to be the prediction on the safety side is obtained. Concentration prediction device for substances. 11. An area for predicting the concentration of air pollutants
The wind direction, wind speed, and atmospheric stability of
Based on a plume puff model that does not consider terrain.
Yearly average value C of air pollutant concentration at the concentration prediction point_YFTotal
C to calculate _YFCalculation procedure, Meteorological data for areas where the concentration of air pollutants is predicted.
Considering topography based on wind direction, wind speed, and atmospheric stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YGC to calculate_YGCalculation
Procedure and Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puffs that neutralize energy stability and do not consider terrain
Annual average of air pollutant concentration at concentration prediction point by model
Value C_YNFC to calculate_YNFCalculation procedure, Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puff mo with neutral stability and terrain consideration
Annual average value of air pollutant concentration at concentration prediction point by Dell
C_YNGC to calculate_YNGCalculation procedure, Annual average value of neutralized air pollutant concentration C_YNFBut neutralization
Not done Air pollutant concentration Annual average C_YFPrescribed against
Confirm that it is within the error range of
The first confirmation procedure that issues a warning if there is not, Annual average value of the air pollutant concentration at each concentration prediction point
C_YNFWhich is the maximum value of_YNFAnd each concentration prediction point
Air pollutant concentration annual average value C in_YNGOut of
The maximum CM_YNGAnd the ratio α_N(= CM_YNG/ CM
_YNF) To calculate_NCalculation procedure, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a flat model based on the meteorological data
Annual average value of tracer gas concentration at concentration prediction point C
_WYNFC to enter_WYNFInput procedure, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a terrain model based on localized weather data
Annual average value of tracer gas concentration at concentration prediction point C
_WYNGC to enter_WYNGInput procedure, Annual average value of neutralized air pollutant concentration C_YNFBut Minoru Wind
Annual tracer gas concentration C_WYNFAgainst
Confirm that it is within the specified error range, and within the specified error range.
If there is not, then the second confirmation procedure that issues a warning, Annual average of the tracer gas concentration at each concentration prediction point
Value C_WYNFWhich is the maximum value of_WYNFAnd each concentration prediction
Annual average value of the tracer gas concentration at the point C_WYNGof
CM which is the maximum of_WYNGAnd the ratio α_WN(= CM
_WYNG/ CM_WYNF) To calculate_WNCalculation procedure, Annual average C of air pollutant concentration_YFAnd said air pollutants
Concentration annual average value C_YGAnd the difference between them is
C within the difference range_YFThe provisional air pollutant concentration
Determined as the annual average forecast value, and the difference between them is within the predetermined error range
C if not within_YGThe provisional air pollutant concentration
A first judgment procedure for determining an average predicted value, The temporary air pollutant concentration annual average predicted value and the tracer
-Gas concentration annual average value C _WYNGCompare with the tentative atmosphere
When the annual average forecast value of pollutant concentration is large,
The provisional air pollutant concentration annual average predicted value is the air pollutant
Second judgment procedure to determine the annual average concentration predicted value of The tentative air pollutant concentration
-Surgas concentration annual average C_WYNGIs large and before
Notation ratio α_WNIs the ratio α_NIf it is greater than the value of
Then, the provisional air pollutant concentration annual average predicted value is C_YG
If you use_WN/ Α_N) Value
Value and calculate the annual average concentration of air pollutants
A third determination procedure for determining the value, The tentative air pollutant concentration
-Surgas concentration annual average C_WYNGIs large and before
Notation ratio α_WNIs the ratio α_NIs greater than the value of
As a provisional air pollutant concentration annual average predicted value, C_YFAdopted
If you do_WNAir pollutant multiplied by the value of
A fourth judging means for determining the predicted annual average concentration of quality, Output for displaying the predicted annual average concentration of air pollutants
Procedure and A program that causes a computer to execute. 12. The C _YNF calculation procedure and the C _YNG calculation procedure are configured to calculate only an average value of atmospheric pollutant concentration by extracting only meteorological data in a neutral state, and the C _WYNF input procedure and the C _WYNF calculation procedure The program according to claim 11, wherein the C _WYNG input procedure inputs data obtained by extracting only weather data in a neutral state. 13. The area where the concentration of air pollutants is predicted
From the meteorological data, the data with atmospheric stability in a non-neutral state
A plume-puff model that is extracted and does not consider terrain
Annual average value C of air pollutant concentration at the concentration prediction point_YDFTotal
C to calculate_YDFCalculation procedure, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with a non-neutral energy stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YDGC to calculate_YDGTotal
Calculation procedure, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with a neutral stability
Do not use plume puff model
Air pollutant concentration annual average C_YSFC to calculate_YSFTotal
Calculation procedure, Of the local meteorological data that predict the concentration of air pollutants
Atmospheric stability is neutral based on meteorological data
Tracer of concentration prediction point by wind tunnel experiment using ground model
-Gas concentration annual average value C_WYSFC to enter_WYSFinput
Procedure and Of the local meteorological data that predict the concentration of air pollutants
Atmospheric stability of the ground is based on meteorological data
Tracer of concentration prediction point by wind tunnel experiment using a shape model
-Gas concentration annual average value C_WYSGC to enter_WYSGinput
Procedure and Yearly average value C of air pollutant concentration in neutral state_YSFBut,
Annual average value of tracer gas concentration by wind tunnel test C_WYSFAgainst
Check that the error is within the specified error range, and
The first confirmation procedure that issues a warning if it is not within the range, Annual average C of air pollutant concentration_YDFAnd said air pollutants
Quality concentration annual average C_YDGAnd the difference between them is predetermined
C within the error range of_YDFThe provisional air pollutants
Concentration annual average predicted value, and the difference between them is within the specified error range
If not C _YDGThe provisional air pollutant concentration annual average forecast
A first determination procedure for determining a measured value, Among the meteorological data, the atmospheric stability is neutral or non-neutral
The provisional air pollutant concentration year
Average predicted value and the annual average value C of the tracer gas concentration_WYSG
Predicted annual average concentration of air pollutants by weighted average with
Prediction value calculation procedure for calculating Output for displaying the predicted annual average concentration of air pollutants
Procedure and A program that causes a computer to execute. 14. The program according to claim 11, wherein a calculation result of a three-dimensional numerical simulation is used instead of the wind tunnel experiment. 15. A first air pollutant concentration calculation procedure using a plume puff model that considers topography, a second air pollutant concentration calculation procedure that uses a plume puff model that does not consider topography, and a tracer gas concentration input procedure using a wind tunnel experiment. An output procedure for displaying a predicted concentration value of the air pollutant, and a wind tunnel experiment input by the tracer gas concentration input procedure and the calculation results by the first and second air pollutant concentration calculation procedures. To output the predicted concentration value of the air pollutant whose accuracy is confirmed based on the result, or to have the computer execute the procedure to obtain the predicted concentration value of the air pollutant that is confirmed to be the safety side prediction. Program of. 16. Concentration of air pollutants that diffuse into the atmosphere
It is a method to predict the annual average concentration at the
hand, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with unstable gas stability
The concentration prediction point can be
Air pollutant concentration annual average C_YUFThe step of calculating
When, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with unstable gas stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YUGThe step of calculating From the local meteorological data that predicts the concentration of air pollutants,
Data for which the air stability is unstable is extracted and
Concentration prediction points by plume-puff model without consideration
Air Pollutant Concentration Annual Average Value C_YTFThe step of calculating
When, Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with stable atmospheric stability
And conducted a wind tunnel experiment using a flatland model,
Tracer gas concentration annual average C_WYTFThe step to find
When, Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with stable atmospheric stability
Wind tunnel experiment using a topographic model to
Tracer gas concentration annual average C_WYTGThe step to find
When, Annual average value C of air pollutants in non-unstable state_YTF
However, the annual average value C of tracer gas concentration by wind tunnel experiment_WYTF
Check that the error is within the specified error range.
And Annual average C of air pollutant concentration_YUFAnd said air pollutants
Quality concentration annual average C_YUGAnd the difference between them is predetermined
C within the error range of_YUFThe provisional air pollutants
Concentration annual average predicted value, and the difference between them is within the specified error range
If not C _YUGThe provisional air pollutant concentration annual average forecast
The step to be the measured value, Instability of atmospheric stability, anxiety among meteorological data
Considering the frequency of occurrence of the steady state, the temporary air pollutant concentration
Degree-annual average predicted value and the tracer gas concentration annual average value C
_WYTGOf the annual average concentration of air pollutants
Calculating the measurements, Method for predicting the concentration of air pollutants characterized by having
Law. 17. The area where the concentration of air pollutants is predicted
From the meteorological data
A plume-puff model that is extracted and does not consider terrain
Annual average value C of air pollutant concentration at the concentration prediction point_YUFTotal
C to calculate_YUFCalculation means, From the local meteorological data that predicts the concentration of air pollutants,
Considering the terrain by extracting data with unstable gas stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YUGC to calculate_YUGTotal
Arithmetic means, From the local meteorological data that predicts the concentration of air pollutants,
Data for which the air stability is unstable is extracted and
Concentration prediction points by plume-puff model without consideration
Air Pollutant Concentration Annual Average Value C_YTFC to calculate
_YTFCalculation means, Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with stable atmospheric stability
Training of concentration prediction point by wind tunnel experiment using a flat model
-Surgas concentration annual average C_WYTFC to enter_WYTF
Input means, Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with stable atmospheric stability
Of the concentration prediction point by wind tunnel experiment using the terrain model
-Surgas concentration annual average C_WYTGC to enter_WYTG
Input means, Annual average value C of air pollutants in non-unstable state_YTF
However, the annual average value C of tracer gas concentration by wind tunnel experiment_WYTF
Confirm that it is within the prescribed error range for
First confirming means for issuing a warning when it is not within the error range
When, Annual average C of air pollutant concentration_YUFAnd said air pollutants
Quality concentration annual average C_YUGAnd the difference between them is predetermined
C within the error range of_YUFThe provisional air pollutants
Concentration annual average predicted value, and the difference between them is within the specified error range
If not C _YUGThe provisional air pollutant concentration annual average forecast
A first determining means for determining the measured value; Instability of atmospheric stability, anxiety among meteorological data
Considering the frequency of occurrence of the steady state, the temporary air pollutant concentration
Degree-annual average predicted value and the tracer gas concentration annual average value C
_WYTGOf the annual average concentration of air pollutants
Predictive value calculation means for calculating the measured value, Output for displaying the predicted annual average concentration of air pollutants
Means and Prediction system for air pollutants characterized by having
Place 18. The area where the concentration of air pollutants is predicted
From the meteorological data
A plume-puff model that is extracted and does not consider terrain
Annual average value C of air pollutant concentration at the concentration prediction point_YUFTotal
C to calculate_YUFCalculation procedure, From the local meteorological data that predicts the concentration of air pollutants,
Data for which the air stability is unstable is extracted and
By using the plume puff model considering
Air pollutant concentration annual average C_YTGC to calculate_YTG
Calculation means, From the local meteorological data that predicts the concentration of air pollutants,
Data for which the air stability is unstable is extracted and
Concentration prediction points by plume-puff model without consideration
Air Pollutant Concentration Annual Average Value C_YTFC to calculate
_YTFCalculation procedure, Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with stable atmospheric stability
Training of concentration prediction point by wind tunnel experiment using a flat model
-Surgas concentration annual average C_WYTFC to enter_WYTF
Input procedure, Of the local meteorological data that predict the concentration of air pollutants
Based on meteorological data with stable atmospheric stability
Of the concentration prediction point by wind tunnel experiment using the terrain model
-Surgas concentration annual average C_WYTGC to enter_WYTG
Input procedure, Annual average value C of air pollutants in non-unstable state_YTF
However, the annual average value C of tracer gas concentration by wind tunnel experiment_WYTF
Confirm that it is within the prescribed error range for
The first confirmation procedure that issues a warning if it is not within the error range
When, Annual average C of air pollutant concentration_YUFAnd said air pollutants
Quality concentration annual average C_YUGAnd the difference between them is predetermined
C within the error range of_YUFThe provisional air pollutants
Concentration annual average predicted value, and the difference between them is within the specified error range
If not C _YUGThe provisional air pollutant concentration annual average forecast
A first determination procedure for determining a measured value, Instability of atmospheric stability, anxiety among meteorological data
Considering the frequency of occurrence of the steady state, the temporary air pollutant concentration
Degree-annual average predicted value and the tracer gas concentration annual average value C
_WYTGOf the annual average concentration of air pollutants
Prediction value calculation procedure for calculating measured values, Output for displaying the predicted annual average concentration of air pollutants
Procedure and A program that causes a computer to execute. 19. A method for predicting an annual average concentration of an air pollutant that diffuses into the atmosphere at a concentration prediction point, comprising wind direction, wind speed, and wind direction, which are meteorological data of an area where the concentration of the air pollutant is predicted. , The step of calculating the annual mean air pollutant concentration C _YF at the concentration prediction point by the plume puff model that does not consider the topography based on the atmospheric stability, and the meteorological data of the region where the concentration of the air pollutant is predicted Based on the wind direction, wind speed, and atmospheric stability, a step of calculating the annual mean air pollutant concentration C _YG at the concentration prediction point by a plume puff model considering the topography, and the area where the concentration of air pollutants is predicted to neutralize atmospheric stability of the weather data, to calculate the air pollutant concentration annual mean C _Ynf concentrations predicted point by plume Pafumoderu not considering terrain A step, calculating the regions in which the density predictions of air pollutants, and neutralize atmospheric stability of the weather data, the plume Pafumoderu considering terrain pollutants concentration annual mean C _YNG concentrations predicted point , A step of _confirming that the neutralized air pollutant concentration annual average value C _YNF is within a predetermined error range with respect to the non-neutralized air pollutant concentration annual average value C _YF , and the air pollutant concentration Based on the meteorological data that neutralizes atmospheric stability of the area where the prediction is performed, a wind tunnel experiment using a flatland model is performed, and the tracer gas concentration annual average value C at the concentration prediction point
_Based on the step of _{obtaining WYNF} and the atmospheric stability neutralized meteorological data of the area where the concentration of air pollutants is predicted, a wind tunnel experiment using a topographic model is performed, and the tracer gas concentration annual average value at the concentration prediction point is calculated. The step of _obtaining C _WYNG , the step of _confirming that the neutralized air pollutant concentration annual average value C _YNF is within a predetermined error range with respect to the tracer gas concentration annual average value C _WYNF by the wind tunnel experiment, and the wind tunnel The tracer gas concentration annual average value C _WYNF by the experiment is
A step of confirming that the tracer gas concentration annual average value C _WYNG is within a predetermined error range, and the air pollutant concentration annual average value C _YG or C _YF is compared with the tracer gas concentration annual average value C _WYNG. And a step of setting the value on the safe side as the annual average concentration predicted value of the air pollutant, and a method of predicting the concentration of the air pollutant. 20. An area for predicting the concentration of air pollutants
The wind direction, wind speed, and atmospheric stability of
Based on a plume puff model that does not consider terrain.
Yearly average value C of air pollutant concentration at the concentration prediction point_YFTotal
C to calculate _YFCalculation means, Meteorological data for areas where the concentration of air pollutants is predicted.
Considering topography based on wind direction, wind speed, and atmospheric stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YGC to calculate_YGCalculation
Means and Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puffs that neutralize energy stability and do not consider terrain
Annual average of air pollutant concentration at concentration prediction point by model
Value C_YNFC to calculate_YNFCalculation means, Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puff mo with neutral stability and terrain consideration
Annual average value of air pollutant concentration at concentration prediction point by Dell
C_YNGC to calculate_YNGCalculation means, Annual average value of neutralized air pollutant concentration C_YNFBut neutralization
Not done Air pollutant concentration Annual average C_YFPrescribed against
Confirmation means for confirming that it is within the error range of
When, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a flat model based on the meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNFC to enter_WYNFInput means, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a terrain model based on the established meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNGC to enter_WYNGInput means, Annual average value of neutralized air pollutant concentration C_YNFBut Minoru Wind
Annual tracer gas concentration C_WYNFAgainst
Second confirmation hand to confirm that it is within the specified error range
Dan, Annual average value of tracer gas concentration by wind tunnel test C_WYNFBut,
Tracer gas concentration annual average C_WYNGGiven error against
A third confirmation means for confirming that it is within the range, Annual average C of air pollutant concentration_YGOr C_YFAnd tray
Annual average of C concentration_WYNGOn the safe side,
Value is determined as the predicted annual average concentration of air pollutants
First determining means for Prediction system for air pollutants characterized by having
Place 21. Area for predicting air pollutant concentration
The wind direction, wind speed, and atmospheric stability of
Based on a plume puff model that does not consider terrain.
Yearly average value C of air pollutant concentration at the concentration prediction point_YFTotal
C to calculate _YFCalculation procedure, Meteorological data for areas where the concentration of air pollutants is predicted.
Considering topography based on wind direction, wind speed, and atmospheric stability
The plume / puff model was taken into consideration,
Air pollutant concentration annual average C_YGC to calculate_YGCalculation
Procedure and Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puffs that neutralize energy stability and do not consider terrain
Annual average of air pollutant concentration at concentration prediction point by model
Value C_YNFC to calculate_YNFCalculation procedure, Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puff mo with neutral stability and terrain consideration
Annual average value of air pollutant concentration at concentration prediction point by Dell
C_YNGC to calculate_YNGCalculation procedure, Annual average value of neutralized air pollutant concentration C_YNFBut neutralization
Not done Air pollutant concentration Annual average C_YFPrescribed against
Confirmation procedure for confirming that it is within the error range of
When, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a flat model based on the meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNFC to enter_WYNFInput procedure, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a terrain model based on the established meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNGC to enter_WYNGInput procedure, Annual average value of neutralized air pollutant concentration C_YNFBut Minoru Wind
Annual tracer gas concentration C_WYNFAgainst
Second confirmation hand to confirm that it is within the specified error range
In order, Annual average value of tracer gas concentration by wind tunnel test C_WYNFBut,
Tracer gas concentration annual average C_WYNGGiven error against
The third confirmation procedure to confirm that it is within the range, Annual average C of air pollutant concentration_YGOr C_YFAnd tray
Annual average of C concentration_WYNGOn the safe side,
Value is determined as the predicted annual average concentration of air pollutants
First determination procedure for A program that causes a computer to execute. 22. A method for predicting an annual average concentration of an air pollutant that diffuses in the atmosphere at a concentration prediction point, wherein atmospheric stability is non-neutral state from meteorological data of a region where the air pollutant concentration is predicted. certain data extracting, calculating pollutants concentration annual mean C _YDF concentrations predicted point by plume Pafumoderu without considering terrain, atmospheric stability from meteorological data areas where the density predictions of atmospheric pollutants Is extracted in the neutral state, and the step of calculating the annual mean air pollutant concentration C _YSF at the concentration prediction point by the plume puff model that does not consider the topography and the meteorological data of the region where the concentration of the air pollutant is predicted are calculated. Based on the meteorological data whose atmospheric stability is in a neutral state,
A wind tunnel experiment using a flatland model is performed, and the atmospheric _stability of the step of _{obtaining the} annual average value C _WYSF of the tracer gas concentration at the concentration prediction point and the atmospheric stability of the meteorological data of the region that predicts the concentration of air pollutants is in a neutral state. Based on weather data
Performing a wind tunnel experiment using a topographic model and _obtaining the tracer gas concentration annual average value C _WYSG at the concentration prediction point, and the atmospheric pollutant concentration annual average value C _YSF in the neutral state,
Taking into account the step of confirming that the tracer gas concentration annual average value C _WYSF by the wind tunnel experiment is within the predetermined error range, and the appearance frequency of neutral and non-neutral atmospheric stability in the meteorological data. And calculating a _yearly average concentration predicted value of the air pollutant by a weighted average of the air pollutant concentration _yearly average value C _YDF and the tracer gas concentration _yearly average value C _WYSG. Concentration prediction method for air pollutants. 23. An annual average of air pollutant concentration at a concentration prediction point by a plume puff model that does not consider topography by extracting data with atmospheric stability in a non-neutral state from weather data of a region where air pollutant concentration prediction is performed. C _YDF calculation means for calculating the value C _YDF, and data for which atmospheric stability is in a neutral state are extracted from the meteorological data for the region where the concentration of air pollutants is predicted, and the concentration is predicted by a plume puff model that does not consider topography. _Based on the C _YSF calculation means for calculating the annual average value of air pollutant concentration C _YSF and the meteorological data of which atmospheric stability is in the neutral state among the meteorological data of the region where the air pollutant concentration is predicted. and C _WYSF input means for inputting the tracer gas concentration annual mean C _WYSF concentrations predicted point wind tunnel experiments using flat model, the concentration predicted air pollutant C _WYSG input means for atmospheric stability of the weather data regions in which to enter the tracer gas concentration annual mean C _WYSG concentrations predicted point wind tunnel experiments using terrain model based on meteorological data in the neutral state And the annual average air pollutant concentration C _YSF in the neutral state,
The first confirmation means that confirms that the tracer gas concentration annual average value C _WYSF by the wind tunnel experiment is within a predetermined error range, and issues a warning if it is not within the predetermined error range, and the meteorological data , atmospheric stability of the neutral state, taking into account the frequency of occurrence of non-neutral state, and the air pollutant concentration annual mean C _YDF, year of air pollutants by a weighted average of the said tracer gas concentration annual average C _WYSG An air pollutant concentration prediction apparatus comprising: a predicted value calculation means for calculating an average concentration predicted value; and an output means for displaying an annual average concentration predicted value of an air pollutant. 24. An annual average of air pollutant concentration at a concentration prediction point is extracted by a plume puff model that does not consider topography, by extracting data with atmospheric stability in a non-neutral state from meteorological data of a region where air pollutant concentration prediction is performed. The C _YDF calculation procedure for calculating the value C _YDF and the atmospheric stability neutral data are extracted from the regional meteorological data that predicts the concentration of air pollutants, and the concentration is predicted by a plume puff model that does not consider the topography. _Based on the C _YSF calculation procedure for calculating the annual mean air pollutant concentration C _YSF and the meteorological data in which the atmospheric stability is neutral in the meteorological data of the region for which the air pollutant concentration is predicted. and C _WYSF input procedure for entering the tracer gas concentration annual mean C _WYSF concentrations predicted point wind tunnel experiments using flat model, the concentration predicted air pollutant C _WYSG input procedure for atmospheric stability of the weather data regions in which to enter the tracer gas concentration annual mean C _WYSG concentrations predicted point wind tunnel experiments using terrain model based on meteorological data in the neutral state And the annual average air pollutant concentration C _YSF in the neutral state,
The first confirmation procedure that confirms that the tracer gas concentration annual average value C _WYSF by the wind tunnel experiment is within a predetermined error range, and issues a warning if it is not within the predetermined error range, and the meteorological data , atmospheric stability of the neutral state, taking into account the frequency of occurrence of non-neutral state, and the air pollutant concentration annual mean C _YDF, year of air pollutants by a weighted average of the said tracer gas concentration annual average C _WYSG A program that causes a computer to execute the predicted value calculation procedure for calculating the predicted average concentration value and the output procedure for displaying the predicted annual average concentration value for air pollutants. 25. A method of predicting an annual average concentration of an air pollutant that diffuses in the atmosphere at a concentration prediction point, wherein atmospheric stability is unstable from meteorological data of a region in which the concentration of the air pollutant is predicted. certain data extracting, calculating pollutants concentration annual mean C _YuF concentrations predicted point by plume Pafumoderu without considering terrain, atmospheric stability from meteorological data areas where the density predictions of atmospheric pollutants Of data that is in an unstable state, and the step of calculating the annual mean air pollutant concentration C _YTF at the concentration prediction point by the plume puff model that does not consider the topography, and the meteorology of the area where the concentration of the air pollutant is predicted Based on the meteorological data of which atmospheric stability is in an unstable state, a wind tunnel experiment using a flatland model was performed, and a tracer at the concentration prediction point was used. Determining a scan density annual average C _WYTF, atmospheric stability of the weather data regions in which the density predictions of atmospheric pollutants on the basis of meteorological data in the non-labile state, wind tunnel experiments using terrain model And the step of _obtaining the tracer gas concentration annual average value C _WYTG at the concentration prediction point, and the air pollutant concentration annual average value C _YTF in the non-unstable state.
However, the annual average value of tracer gas concentration by the wind tunnel experiment C _WYTF
The average of the air pollutant concentration, taking into account the step of confirming that the error is within the predetermined error range, and the appearance frequency of the unstable and unstable states of atmospheric stability in the meteorological data. Value C _YUF and the annual average value C of the tracer gas concentration
_A method for predicting the concentration of air pollutants, comprising the step of calculating an annual average concentration prediction value of air pollutants by a weighted average with _WYTG . 26. An annual average of air pollutant concentration at a concentration prediction point is extracted by a plume puff model that does not consider topography, by extracting data with unstable atmospheric stability from meteorological data of a region where air pollutant concentration prediction is performed. The C _YUF calculation means for calculating the value C _YUF , and the plume puff model that does not consider the topography by extracting the data in which the atmospheric stability is unstable from the meteorological data of the area that predicts the concentration of air pollutants C to calculate the annual average value C _YTF of the air pollutant concentration at the concentration prediction point
Tracer gas concentration at the concentration prediction point by a wind tunnel experiment using a _YTF calculation method and a level ground model based on the meteorological data in which the atmospheric stability is in the unstable state among the regional meteorological data for which the concentration of air pollutants is predicted The C _WYTF input means for inputting the annual average value C _WYTF and the topographic model based on the meteorological data in which the atmospheric stability is in the unstable state of the meteorological data of the area for predicting the concentration of air pollutants are used. C _WYTG for inputting tracer gas concentration annual mean C _WYTG concentrations predicted point by stomach wind tunnel experiments
Input means and _yearly average value of air pollutant concentration in non-unstable state _CYTF
However, the annual average value of tracer gas concentration by the wind tunnel experiment C _WYTF
The first confirmation means for confirming that the error is within the predetermined error range and issuing a warning when the error is not within the predetermined error range, and the non-unstable state of atmospheric stability in the meteorological data Considering the frequency of occurrence of stable states, the annual average value C _{YUF of the} air pollutant concentration and the annual average value C of the tracer gas concentration
_{It has} a predictive value calculation means for calculating an annual average concentration predicted value of air pollutants by a weighted average with _WYTG, and an output means for displaying the annual average concentration predicted value of air pollutants. Concentration prediction device for air pollutants. 27. An annual average of air pollutant concentration at a concentration prediction point is extracted by a plume puff model that does not consider topography by extracting data with unstable atmospheric stability from meteorological data of a region where air pollutant concentration prediction is performed. The C _YUF calculation procedure for calculating the value C _YUF and the plume puff model that does not consider the topography by extracting the data in which the atmospheric stability is unstable from the meteorological data of the region that predicts the concentration of air pollutants C to calculate the annual average value C _YTF of the air pollutant concentration at the concentration prediction point
_YTF calculation procedure and tracer gas concentration at concentration prediction point by wind tunnel experiment using flatland model based on meteorological data with atmospheric stability in unstable state among the meteorological data of the region that predicts air pollutant concentration C _WYTF for entering the annual average value C _WYTF
Tracer gas concentration year at concentration prediction point by wind tunnel experiment using topographic model based on input procedure and meteorological data with atmospheric stability in unstable state among the meteorological data of the region where air pollutant concentration is predicted C _WYTG for entering the average value C _WYTG
Input procedure and _yearly average value of air pollutant concentration in non-unstable state _CYTF
However, the annual average value of tracer gas concentration by the wind tunnel experiment C _WYTF
The first confirmation procedure that confirms that it is within the predetermined error range and issues a warning when it is not within the predetermined error range, and the non-unstable state of atmospheric stability in the meteorological data Considering the frequency of occurrence of stable states, the annual average value C _{YUF of the} air pollutant concentration and the annual average value C of the tracer gas concentration
_In order to make the computer execute the predicted value calculation procedure for calculating the predicted annual average concentration value of air pollutants by the weighted average with _WYTG, and the output procedure for displaying the predicted annual average concentration value of air pollutants. Program of. 28. A method of predicting an annual average concentration of an air pollutant diffused in the atmosphere at a concentration prediction point, comprising wind direction, wind speed, and wind direction, which are meteorological data of an area where the concentration of the air pollutant is predicted. , The step of calculating the annual mean air pollutant concentration C _YF at the concentration prediction point by the plume puff model that does not consider the topography based on the atmospheric stability, and the atmosphere of the meteorological data of the area where the concentration of the air pollutant is predicted. The step of calculating the air pollutant concentration annual average value C _YNF at the concentration prediction point by the plume puff model that neutralizes the stability and does not consider the topography, and the neutralized air pollutant concentration annual average value C _YNF are neutralized. There is a step to confirm that there is no air pollutant concentration within the prescribed error range for the annual average value C _YF , and Based on the meteorological data that neutralized the degree of stability, a wind tunnel experiment using a flatland model was performed, and the step of _{obtaining the} annual average value C _WYNF of the tracer gas concentration at the concentration prediction point, and the area where the concentration of air pollutants was predicted, Based on the meteorological data that neutralized the atmospheric stability, a wind tunnel experiment using a topographic model was performed, and the step of _obtaining the tracer gas concentration annual average value C _WYNG at the concentration prediction point, and the neutralized atmospheric pollutant concentration annual average value A step of _confirming that C _YNF is within a predetermined error range with respect to the annual average value C _WYNF of the tracer gas concentration by the wind tunnel experiment, and the annual average value C _{YF of the} air pollutant concentration and the annual average value C of the tracer gas concentration C _A method for predicting the concentration of an air pollutant, comprising: comparing _WYNG with a value on the safe side as an annual average concentration predictive value of the air pollutant. 29. Area for predicting air pollutant concentration
The wind direction, wind speed, and atmospheric stability of
Based on a plume puff model that does not consider terrain.
Yearly average value C of air pollutant concentration at the concentration prediction point_YFTotal
C to calculate _YFCalculation means, Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puffs that neutralize energy stability and do not consider terrain
Annual average of air pollutant concentration at concentration prediction point by model
Value C_YNFC to calculate_YNFCalculation means, Annual average value of neutralized air pollutant concentration C_YNFBut neutralization
Not done Air pollutant concentration Annual average C_YFPrescribed against
Confirmation means for confirming that it is within the error range of
When, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a flat model based on the meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNFC to enter_WYNFInput means, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a terrain model based on the established meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNGC to enter_WYNGInput means, Annual average value of neutralized air pollutant concentration C_YNFBut Minoru Wind
Annual tracer gas concentration C_WYNFAgainst
Second confirmation hand to confirm that it is within the specified error range
Dan, Annual average C of air pollutant concentration_YFAnd tracer gas rich
Annual average C_WYNGAnd compare the value on the safe side with
First for determining the annual average concentration of air pollutants
Judgment means, Prediction system for air pollutants characterized by having
Place 30. Area for predicting air pollutant concentration
The wind direction, wind speed, and atmospheric stability of
Based on a plume puff model that does not consider terrain.
Yearly average value C of air pollutant concentration at the concentration prediction point_YFTotal
C to calculate _YFCalculation procedure, Large amount of meteorological data for areas where the concentration of air pollutants is predicted.
Plume puffs that neutralize energy stability and do not consider terrain
Annual average of air pollutant concentration at concentration prediction point by model
Value C_YNFC to calculate_YNFCalculation procedure, Annual average value of neutralized air pollutant concentration C_YNFBut neutralization
Not done Air pollutant concentration Annual average C_YFPrescribed against
Confirmation procedure for confirming that it is within the error range of
When, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a flat model based on the meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNFC to enter_WYNFInput procedure, Atmospheric stability of the area where the concentration of air pollutants is predicted
Wind tunnel using a terrain model based on the established meteorological data
Yearly average value of tracer gas concentration at concentration prediction point by experiment
C_WYNGC to enter_WYNGInput procedure, Annual average value of neutralized air pollutant concentration C_YNFBut Minoru Wind
Annual tracer gas concentration C_WYNFAgainst
Second confirmation hand to confirm that it is within the specified error range
In order, Annual average C of air pollutant concentration_YFAnd tracer gas rich
Annual average C_WYNGAnd compare the value on the safe side with
First for determining the annual average concentration of air pollutants
Judgment procedure, A program that causes a computer to execute.