JP2003255055A - Environmental simulation method and system for estimating source of air pollution - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method and a system for solving both the problems wherein it has been difficult to estimate the source of air pollutants even through the use of both the speedy computation of the state of diffusion of the air pollutants discharged into the atmosphere and an atmospheric environmental simulation system and estimating the location of a discharge source as a pollution source and the amount of discharge. <P>SOLUTION: A model suitable for simulation is selected from input conditions, such as atmospheric conditions, meteorological data, and topographical data on the evaluation range of the diffusion of the air pollutants. From the input conditions, adjusted input parameters are inputted from data on measured values in a database part for improving analytical precision. Input data is created from both the analysis conditions by the model and the selected adjusted input parameters to conduct simulation. The deviation between the result of the simulation and data on measured values of the discharge source is computed. By estimating the discharge source which corresponds to the data in which the deviation is minimum, the problem can be solved. <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 an air pollution prediction simulation, in particular, estimating the source of air pollutants, rapidly analyzing the concentration and distribution of air pollutants, and providing information for studying countermeasures. Environmental simulation method and system for estimating source of air pollution provided.

[0002]

2. Description of the Related Art In recent years, environmental impact assessment has become important in order to improve the atmospheric environment and prevent air pollution, such as enactment of the Environmental Assessment Law and issuance of the ISO 14000 series, from the viewpoint of global environmental protection. Especially in factories, power plants, and combustion facilities that emit pollutants into the air environment, it is necessary to regularly understand the environmental impact during operation as well as during the planning stage.

Further, in order to properly grasp the influence on the environment, it is necessary to measure the air pollutant concentration in the vicinity of the surroundings. Which emission source pollutes the air pollutant (or concentration)? Judging is a very difficult problem.

Conventionally, in order to predict the diffusion of pollutants into the atmosphere and evaluate the influence on the environment, it is necessary to set the prediction method and parameters used in the method. But,
For these, conditions were set based on the experience of the analyst and a predictive simulation was performed. On the other hand, as a prior art of a method for easily grasping the diffusion status of air pollutants,
Japanese Unexamined Patent Publication No. 2000-194742 "Atmospheric environment simulation system" has been published. However, this publication describes an atmospheric environment simulation system capable of promptly determining the diffusion distribution status of air pollutants, and does not describe a method for specifying the emission source emitting air pollutants.

Conventionally, a method based on laws and regulations at the time of planning / planning was used to estimate the emission source of pollutants, and the results of air pollution prediction calculation and the application form at the time of factory installation were reported. It was limited to the estimation based on the operation plan. In addition, it was often understood by measuring the exhaust gas after the operation started. Then, an analyst with a high degree of knowledge and experience estimated the emission source of the pollutant by using the data of the emission status of the factories or the like that released the pollutant that was grasped.

[0006]

However, it is necessary to have a high degree of knowledge and experience to investigate the prediction method and collect various data to select the optimum model and the input parameter as described above. Moreover, when dealing with actual phenomena, it is difficult to make many examinations in a short time because the calculation becomes complicated.

Further, it is difficult to adjust the input parameters so that the measurement result and the analysis result match with each other and create the numerical simulation condition. In addition, since the emission status of pollutants from emission sources is measured in the released gas, it is difficult to understand the relationship with the measurement results in the surrounding area. For example, when there are multiple factories that emit pollutants, it is necessary to estimate the emission source, such as how the pollutants in each exhaust gas affect the pollutant concentration in the surrounding area. In addition, the basic data for drafting the atmospheric environment conservation plan must be prepared by experienced workers, including the emission status from each factory, weather conditions, topographical conditions, concentration measurement results in the surrounding area, information from surrounding residents, and information in the area. It was only empirically estimated and grasped from similar cases.

Further, in order to make the analysis result visually understandable, it is indispensable to display the analysis result in combination with the background data. At that time, topographically spatially important parts and high density appearance areas are displayed. About, it is necessary to enlarge and display in more detail. In the case of enlarging and displaying a part of the display range, it takes a long working time in the conventional method of manually drawing by the analyst himself. In addition, the results may vary depending on the drawing method. In the method of directly expanding the visualization information of the background data and the numerical analysis result in the drawing program, the amount of data of the analysis result to be visualized and the amount of information of the background data to be displayed are small, and the display result is coarse. Also, in the case of enlarging and displaying a part of the display range, in the conventional method of displaying only the background data in detail, the data amount of the numerical analysis result to be visualized becomes small, and there is a problem that the visualization display accuracy is reduced. Occurs. As described above, there are many problems regarding display.

From the above-mentioned situation, it is relatively easy to grasp the diffusion state of pollutants in the atmospheric environment in which even the inexperienced person agrees with the measurement result and the analysis result, and the emission source thereof is estimated, It was required to be displayed.

In the present invention, an appropriate simulation model and input parameters are selected according to the laws and various guidelines to be referred to in accordance with the conditions of the emission source to be analyzed,
The purpose is to quickly calculate the diffusion status of air pollutants released into the atmosphere from these conditions. Then, the obtained analysis result and the measurement result are compared and examined, and the input parameters are adjusted so as to match. Then, when the result is displayed together with the background data, it is possible to consistently perform advanced visualization display in which the degree of detail of the physical quantity visualized can be increased or decreased (varied) according to the display range.

According to the present invention, in an atmospheric environment simulation system, an environment for predicting air pollution for estimating and displaying the position and emission amount of the emission source of the pollutant based on the measurement result and the atmospheric diffusion prediction result. To provide a simulation method and system.

[0012]

The present invention can solve the problems by the following means. In a simulation method for estimating an air pollution source from input conditions such as atmospheric conditions, meteorological data, and topographical data of an evaluation range of air pollutant diffusion, a model suitable for the simulation is selected from the input conditions and Adjusting input parameters are selected from the measured value data of the database unit to improve analysis accuracy, input data for simulation is created from the analysis conditions by the model and the selected adjusting input parameters, and simulation is performed. It is to calculate the deviation from the emission source measurement value data and estimate the emission source corresponding to the data with the minimum deviation.

In addition, the map data of the evaluation range of the air pollutant diffusion is held, the map data including the estimated air pollution source is selected, and the selected map is displayed on the display device as a background. is there.

Further, a model selection unit for selecting a model suitable for simulation from the input conditions, and an input parameter tuning unit for selecting adjustment input parameters from the measured value data of the database unit for improving analysis accuracy from the input conditions. , An input creating unit for creating input data for simulation from the analysis condition by the model and the selected adjustment input parameter, a numerical calculation processing unit for performing simulation by the created input, and the result and emission source measured value It is characterized in that it is provided with an emission source estimation unit which obtains a deviation from the data and estimates an emission source corresponding to the data having the minimum deviation.

Further, a display data storage unit for storing the background data such as the analysis result and the map data to be analyzed, and a visualization data selection processing unit for selecting the analysis result and the background data having accuracy and information according to the analysis condition. And a display processing unit for synthesizing and visualizing the analysis result and the background data, and a display device for displaying by the output of the display processing unit.

[0016]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 shows a functional configuration of an air pollution environment simulation system according to an embodiment of the present invention. As shown in FIG. 1, the air pollution environment simulation system 10 includes an input device 1 for inputting input data.
And the output device 2 such as a display or a printer for displaying and outputting the analysis result.

When roughly classified, the model selection unit 11, the database unit 12, the input parameter tuning unit 13, the input creation unit 14, the numerical calculation processing unit 15, and the emission source estimation unit 20.
And a display composition unit 16, a data storage unit 17, a visualization data selection processing unit 18, and a display processing unit 19. Hereinafter, each part which comprises this system is demonstrated.

From the input device 1, measured value data such as pollutant type, emission amount, emission position, atmospheric conditions, etc. are input (in some cases, virtual data for simulation). The database unit 12 includes an analysis case database 121 classified from the viewpoints of types and shapes of pollutants, emission positions, emission conditions, atmospheric conditions at the time of evaluation, topographical conditions at evaluation points, the Air Pollution Control Law, etc. Law and guideline database 122 that categorizes analysis conditions in accordance with the laws and regulations of local governments and the guidelines issued by government offices,
It has a measurement value database 123 that summarizes the conditions for measuring the air pollution situation in the surrounding area and the results. Also,
The database unit stores an emission source database 124 that summarizes conditions for measuring pollutants of emission sources and the results thereof, and a measurement value database 125.

The input condition 3 inputted is the model selection unit 11
Entered in. The model selection unit uses these databases from the input data and selects a simulation model, fixed input parameters, and analysis conditions based on laws and guidelines that are most suitable for the input data. This allows the analyst to set the data required for the numerical simulation without advanced knowledge.

Specifically, in the model selection section 11, based on the input condition 3, the analysis case database 121, the law / guideline database 122 and the simulation model database 1 stored in the database section 12 are stored.
23. Then, in the input condition selection A 4, the simulation model 41 and the fixed input parameter 42 that are optimum for the input condition are selected, and the analysis condition 43 is created.

Reference numeral 5 is an input condition selecting section B. In order to improve the accuracy of the analysis result based on the input condition 3 and the analysis condition 43 created by the model selection unit 11 and bring it closer to the actual measurement value, the measured value stored in the database unit 12 by the input parameter tuning unit 13 Refer to the database 125. Then, the input parameter tuning unit 13 selects a parameter with the adjustment input parameter 51, and the parameter is input from the input condition selecting unit B to the input creating unit 14.

In the input creating section 14, the numerical calculation processing section 15 creates input data required for simulation calculation based on the selected result, and the numerical calculation processing section 15 receives the input data via the numerical calculation input data 6. Is entered. The numerical calculation processing unit 15 uses the numerical calculation input data 6 created by the input creation unit 14 to increase the physical phenomena from the built-in physical model over the entire range of the analysis target area by using a high-speed method such as parallel calculation. Perform accurate numerical analysis. And
The high-precision numerical analysis results 151 of the entire range of the target area are classified and stored in the analysis result database 172 of the data storage unit 17 of the display synthesis unit 16.

Next, the numerical calculation result 151 of the numerical calculation input data 6 created so as to match the measured value well is input to the emission source estimation unit 20, and the emission source estimation unit 20 analyzes the analysis result and the database unit. Emission source database 124 and measurement value database 125 stored in 12
Refer to. By referring to the above, the sensitivity analysis when the emission amount of each emission source is changed is performed, and the error 201 from the measured value is obtained. The emission source estimation 202 is performed based on the error from the measured value and the analysis result. That is, the emission source is estimated using the data already stored as the emission source data and the measurement value data.

The display synthesizing unit 16 comprises a data storage unit 17 for storing data necessary for visualization, a visualization data selection processing unit 18 for selecting data required for visualization, and a display processing unit 19. In addition to the analysis result database 172 that stores the analysis results, the data storage unit 17
It has a map database 171 that stores map data used as background data when displaying analysis results. The map database stores a plurality of pieces of map data with various accuracies for all analysis targets, and changes or selects them according to the display range.

The visualization data selection processing unit 18 uses the display condition 7 input from the input device 1 and uses the data storage unit 1
The display accuracy map data 191 and the display accuracy visualization physical quantity distribution data 192 that are most suitable for the display conditions can be selected by referring to the database 7 of FIG.

In the display processing unit 19, the display accuracy map data 191 instructed by the visualization data selection processing unit 18 and the display accuracy visualization physical quantity distribution data 192 are subjected to visualization processing by a given visualization method, combined, and output. The physical quantity distribution visualization data 193 that can be drawn with is created.

As described above, the input condition 3 input from the input device 1 is selected by the model selection unit 11 by referring to the database unit 12, and the model and the input parameters suitable for the analysis condition are automatically selected. Can be created. In addition, the input parameter tuning unit 13 refers to the measured value database 125 to adjust the adjustment input parameter 5
By considering item 1, the input creation unit 14 can easily create the numerical calculation input data for performing the numerical calculation capable of reproducing the actual measurement value.

The emission source estimating unit 20 refers to the emission source database 124 and the measurement value database 125,
The emission source position and its emission amount can be estimated by obtaining the error 201 from the measured value.

Further, the display condition 7 can be displayed by the visualization data selection processing section 18 by combining the display accuracy visualization physical quantity distribution data 192 and the display accuracy map data 191 according to the display range. Further, the visualization data of the numerical analysis result of the physical quantity distribution and the information amount of the map data can be changed and displayed according to the input display range.

Next, the data stored in the database will be described. FIG. 2 is a diagram for explaining an example of a database format. FIG. 2A shows an example of data stored in the law / guideline database 122. Actual data is digital data in which a plurality of search keys and values are associated with each other so that they can be easily searched by a program.
However, it is shown here in tabular form for clarity. Law / guideline database 122 shown in FIG.
The law and guideline name 1221 such as the Air Pollution Control Law, the environmental item 1222 such as the atmospheric environment, the analysis target field (for example, noise or diffusion of suspended particulate matter) 1223,
Area 1224 such as residential area and model 1 such as plume
There is information classified into 225. In the correspondence table 1226,
It represents these relationships. In the correspondence table 1226, not only the relation of each information but also its importance is digitized and held. In this case, importance is represented by a symbol. In order of importance, double circles are more important, single circles are important, then triangles are used.

FIG. 2B shows an analysis case database 12
1 shows an example. The analysis case database includes emission source information 1211 such as emission source scale, a model 1212 such as a diffusion model, a diffusion parameter 1213 such as a horizontal direction or a vertical direction, and an effective chimney height 121 including wind and no wind.
It has data in which various conditions used in the analysis such as 4 are classified. Reference numeral 1215 is a correspondence table showing these relationships. The database 121 is composed of these.

The emission source database 124 is shown in FIG.
An example is shown. In the emission source database, the locations and names of factories and offices that emit pollutants, such as H1 and H2,
Shape data information 1241 such as discharge height and discharge port inner diameter,
It is composed of emission information 1242 such as the amount of exhaust gas from the emission source (incinerators B4, B5, etc.), the exhaust gas temperature, and the like.

FIG. 2D shows the measured value database 125.
An example is shown. The measurement value database is composed of information 1251 such as measurement points or measurement positions such as names and positions when pollutants were measured, height, and information 1252 such as measurement results and meteorological conditions at the time of meteorological measurement. It

In addition, the model selection unit 11 of the atmospheric environment simulation system uses these databases to select laws, guidelines, and models for reference from environmental items and analysis targets according to input conditions. Values such as the effective stack height and diffusion parameters can be selected from the calculation example of.

Further, the input parameter tuning unit 13
Then, by using these databases, it is possible to select adjustment input parameters that are in good agreement with the measured values. Further, the emission source estimation unit 20 can estimate the emission source that emitted the pollutant from the measurement value result by using these databases.

Next, the input parameter tuning unit 13
The processing operation of will be described in relation to the model selection unit 11 and the database unit 12 with reference to the flowchart of FIG. The input condition 3 given from the input device 1 is the model selection unit 1
1, and the input condition A is selected there (step S1). The selected input condition is passed to the input parameter tuning unit 13. Here, preparation for a numerical simulation based on this condition is performed (step S2),
Processing from input data creation to numerical simulation is carried out by transmitting necessary information to the input creation unit and the numerical calculation processing unit (process 131).

This processing is referred to as input data generation and numerical simulation processing (processing 131) here. The flow of this processing 131, that is, the creation of input data and the operation of the numerical simulation unit will be described with reference to the flowchart of FIG. The input data creation / numerical simulation unit 131 instructs the selected input conditions to the input data creation unit 14 (step S3) to create input data for numerical simulation. (Step S4) This input data for numerical simulation is physical data that can be handled by numerical simulation, unlike the input condition 3 input by the user. For example, atmospheric conditions are converted from horizontal stability and vertical diffusion parameters from atmospheric stability, which is an index that indicates weather conditions. Then, the numerical calculation processing unit 15 is instructed to process the input data (step S5), simulation calculation is performed (step S6), and the simulation result is passed to the instructed device as the selected input condition result 132 (step S5). S7). The above is the description of the operation of the input data creation and numerical simulation processing 131.

Now, let us return to the description of the operation flow of the input data tuning section in FIG. 3 again. In this way, as a result of the input data creation and numerical simulation processing 131,
The simulation analysis result 132 of the input condition A is created. In addition, the input condition 3 is passed to the input parameter tuning unit 13, where the measurement value database 125 of the database unit 12 is searched, and the measurement value and the measurement condition corresponding to the input condition are searched (step S8). And the data of the measurement condition 133 is created.

Next, the input parameter tuning unit 13
Then, from the simulation analysis result 132 based on the input condition A obtained above, the measured value and the measurement condition 133,
In step S9, the analysis result is compared with the measured value, and in step S10, input parameters for sensitivity analysis are selected and tuned. Input parameters for sensitivity analysis include
For example, there are a horizontal diffusion parameter σy, a vertical diffusion parameter σz, and a correction coefficient.

Next, the parameters are changed to create input data and perform a numerical simulation (process 131), and in step 11, an error (ε) is calculated from the result. For example, whether or not the error is minimum is calculated using the least squares method (ε = Σ (analysis result−measured value) ² ) or the like, and step S12
To determine if it is the minimum. If the result is not the minimum, re-select the value of the parameter, and similarly perform step S
The processing from 10 to step S12 is repeated. If the error is minimized, change the parameter to input condition B.
As a result, in step S13, it is passed to the input creating unit 14, which is the next device.

As a result, the input parameter tuning unit 13 can select the adjusted input parameter so as to match the actually measured value, and as a result, a numerical simulation with better accuracy can be performed.

Next, the processing operation of the emission source estimation unit 20 will be described with reference to the flow chart of FIG. 5 in relation to the model selection unit 11, the database unit 12, and the input parameter tuning unit 13. The input condition 3 given from the input device 1 is passed to the model selection unit 11 and the input parameter tuning unit 13. Input parameter tuning unit 1
In 3, the adjustment input parameters are selected (51) so as to match the measured values, and those data are input to the input creation unit 14. Then, the numerical calculation input data 6 is created, and is processed by the numerical calculation processing unit 15 based on the data, and the high-precision numerical analysis result 151 of the entire range of the target area is created.

The emission source estimation unit 20 searches the emission source database 124 of the database unit 12 for an emission source in the target area based on the numerical analysis result 151, and selects the shape information and the emission information thereof in step 31. Next, the emission amount of the selected emission source is changed and sensitivity analysis is performed in step S32. The sensitivity analysis is performed by the numerical calculation processing unit 15 using the numerical calculation input data 6. As a result, it is possible to obtain the concentration distribution 203 due to the variation in the emission amount of each emission source in the target region. The concentration distribution obtained here and the database unit 12
The error 201 between the concentration distribution due to the fluctuation of the emission source and the measured value is obtained by comparing the measured value database 125 of the above in step 34.

Based on this error 201 and the concentration distribution 203 due to the variation of the emission amount of each emission source, the maximum and minimum values of the concentration distribution,
The error distribution of the generation position is obtained in step S35, the emission amount of each emission source is adjusted in step S36 so that the error between the maximum value and the minimum value of the concentration distribution is minimized, and the emission amount of each emission source is estimated (202 ) Do.

A flow for controlling the release amount that minimizes the error in the concentration distribution will be described with reference to FIG. In step S35 for examining the error distribution of the maximum value, the minimum value, and the generation position of the concentration distribution due to the variation of the emission amount of each emission source, the concentration distribution 203 due to the variation of the emission amount of each emission source takes the error 201, Error evaluation example between the measurement position and the measurement position is summarized for each emission amount variation case of each emission source. Next, it is made into a function by combining the error with the measured value, the maximum and minimum values of the concentration evaluation result, and their generation position from the emission source position, for example, approximating each data to a function form inversely proportional to the distance. Thus, the load that minimizes the error is obtained (205).

Next, in S36 in which the emission amount of each emission source is adjusted so that the error between the maximum value and the minimum value of the concentration distribution is minimized, the obtained load is multiplied by the originally varied emission amount. The adjusted release amount 206 of the release source is obtained, and the sensitivity analysis is performed again as the release amount of the sensitivity analysis (step S3).
2) In step S24, the measured value and the calculated value are compared to obtain an error 201 with the measured value. When the error is minimized, a series of sensitivity analysis and comparison are completed, and the emission amount of the emission source is determined as the emission source. This makes it possible to estimate the pollutant emission source that is expected to be the main cause of air pollution.

Next, the processing operation of the air pollution environment simulation system will be described with reference to the flow chart of FIG. As shown in FIG. 7, first, the input condition 3 and the display condition 7 are input from the input device 1. Input condition 3 is model selection unit 1
1 is transmitted to the input parameter tuning unit 13, and the display condition 7 is transmitted to the display combining unit 16.

Next, the model selection unit 11 retrieves the information necessary for the input condition from the transmitted input condition 3 by referring to the analysis case database 121, the law / guideline database 122 and the simulation model database 123 of the database unit 12. Then, the input condition A is created from the result (step S14) (step S15).

Next, the input parameter tuning unit 13
Then, referring to the measured value database 125 of the database unit 12 from the transmitted input condition 3, the measured value and the measured condition corresponding to the input condition are searched (step S16), and the measured value and the measured condition are selected (step S16). S17). Then, sensitivity analysis is performed to select and tune input parameters (step S18), and as a result, input condition selection B3 is created (step S19). It should be noted that this process is performed by referring to FIGS.
It is described in detail in the explanation using.

Next, the input condition A and the input condition B created by the above processing are transmitted to the input creating unit 14 (step S20), and input data is created (step S21).
It is transmitted to the numerical calculation processing unit 15. This input data is
It becomes the input data of the numerical calculation simulation program built in the numerical calculation processing unit 15.

Next, the numerical calculation processing section 15 uses the transmitted input data (step S22) to accurately calculate the physical phenomenon over the entire range of the analysis target area from the built-in physical model using a high-speed method such as parallel calculation. The simulation calculation is performed (step S23), and the high-precision numerical analysis result 151 of the entire range of the target area is stored as a database in the analysis result database 172 in the data storage unit 17 of the display synthesis unit 16.

Next, the emission source estimation unit 20 uses the high-precision numerical analysis result 151 of the entire target region created by the numerical calculation processing unit 15, the emission source database 124 and the measured value database 125 of the database unit 12. Then, the emission source in the target area is searched (step S24), the emission source emission amount sensitivity analysis is performed (step S25), the adjustment weight coefficient of the measured value and the sensitivity analysis result is calculated (step S26), and the emission source is estimated ( Step S27) is performed. At this time, the emission source emission amount sensitivity analysis (step S25) is performed by the numerical calculation processing unit 1.
Data change analysis is performed using the simulation calculation 5 (step S23). The emission source information such as the estimated emission amount and the emission source position is passed to the numerical calculation processing unit 15 and is subjected to simulation calculation (step 23) and is reflected in the high-precision numerical analysis result 151 of the entire range of the target region.

Next, the display synthesizing unit 16 transmits the display condition 7 input from the input device 1 to the visualization data selection processing unit 18, and instructs map data and analysis data according to the display range used as background data there. (Step S2
4) The information is transmitted to the display processing unit 19.

Here, the data stored in the data storage section will be described. FIG. 8 shows an example of data stored in the map database 171. Differences in content depending on the display range and display accuracy of the map will be described with reference to this figure. The actual data is only the positional information for displaying the map and the arrangement of the symbols, but for the sake of clarity, it is represented by the displayed X, Y two-dimensional map image. In addition, this database stores a plurality of map data corresponding to the display range. These map data are used as background data when creating the physical quantity distribution visualization data 193. FIG. 8A shows an X-direction display range XA23 and a Y-direction display range Y.
A wide area map 21 of A24 is shown, and FIG. 8B shows a narrow area map 22 of X direction display range XB25 and Y direction display range YB26.

The range of the narrow area map 22 corresponds to the portion of the wide area map 21 surrounded by dotted lines on all sides. That is, the narrow area map 22 corresponds to a map obtained by enlarging a part of the wide area map 21, but further detailed display information (for example, map symbols such as school and police box) is added. Wide area map 21
By using the narrow area map 22 in accordance with the display range and conditions, instead of simply enlarging, the detailed map information to be displayed can be achieved.

FIG. 8C shows an image 27 of the analysis result output from the output device. Display accuracy map data 1
91 and the display accuracy visualization physical quantity distribution data 192 are combined and expressed as a contour map. In addition to this, the physical quantity distribution data for visualization of display accuracy can be used for vector diagrams and iso-diagram views,
It may be represented by a wire frame diagram or the like.

The display processing unit 19 synthesizes the display accuracy visualization physical quantity distribution data 192 and the display accuracy map data 191 selected by the visualization data selection processing unit 18 and performs the visualization process (step S25 of 16). The physical quantity distribution visualization data 193 of the output image as shown is created and output from the output device 2. Since all the data to be displayed by the display processing unit is stored in the data storage unit 17 so as to cover the entire display range and details, it is necessary for the display processing unit 19 to create the data to be displayed from the existing data by interpolation or the like. There is no. Therefore, the degree of detail of the visualization data can be changed at high speed according to the display range.

In order to analyze the diffusion state of air pollutants released into the atmosphere, data of pollutant types and emission sources, atmospheric conditions and meteorological data at this time, and topographical data in the evaluation range of air pollutant diffusion , Input data such as a model selection unit having a function of selecting a model suitable for simulation of this phenomenon, fixed input parameters, and analysis conditions by using an analysis case database, a law / guideline database, and a simulation model database from input data such as input data. The input parameter tuning unit that has the function of selecting the adjustment input parameter so that the statistical error between the simulation result and the measured value data is minimized using the measured value database that stores the measurement conditions and measurement results from Model, fixed input parameters, analysis conditions, and key Numerical calculation from the input parameters Input data creation unit that has the function of creating input data and display conditions, Numerical calculation unit that has the function of performing numerical simulation of the diffusion status of pollutants using the created numerical calculation input data, A data storage unit that has an analysis result database that stores the results and a map database for visualization, a visualization data selection processing unit that has the function of sampling the necessary visualization data from the data storage unit according to the display range, and the background In an atmospheric environment simulation system consisting of a display processing unit that has the function of creating display data by combining with the map data to be used, the location of pollutant-releasing factories and their release dormitories, release methods, etc. Atmosphere from stored emission source database, numerical calculation results and measured value database It is a system having a discharge source estimation section for estimating the pollutant emission sources that are predicted major cause of dyeing. This system automatically sets models and input parameters suitable for analysis conditions, and adjustment parameters that match the measured values, creates simulation data, and maps the pollutant concentration distribution obtained by simulation with map data. Even if you do not have advanced knowledge or experience in environmental assessment, you can perform a simulation that matches the actual measurement value and release the pollutant from the measurement result even if you do not have advanced knowledge or experience in environmental assessment. Emission sources can be estimated and simulated.

According to the present invention, the model and the input parameters suitable for the analysis conditions are automatically set, the parameters are adjusted so as to match the actually measured values, and the maximum value or the minimum value is important depending on the display range. In an atmospheric environment simulation system that changes and displays the degree of detail of data so that no physical quantity leaks, it is possible to estimate the emission source that emitted the pollutant from the measurement result and perform simulation.
Therefore, even if you do not have a high level of knowledge or experience in environmental assessment, it is possible to create simulation data and estimate the emission source of pollutants according to the analysis target.

Another feature of the present invention is to use the numerical analysis result obtained by numerical calculation and the background data in the display synthesis unit for displaying the numerical analysis result of the air pollutant distribution together with the background data. It has a data storage unit that stores map data, and displays the degree of detail of the physical quantity distribution data for visualization of numerical analysis results and the degree of detail of information of background data according to the display range to be displayed according to input conditions. It is characterized by having a visualization data selection processing unit that selects data so that it can be changed and displayed. As a result, the optimum analysis result and background data can be selected according to the display range.

In the data storage unit, the numerical analysis results output from the numerical analysis device are stored as a physical quantity distribution database, and a plurality of background data having an information amount according to the display range are stored in advance as a background information database. The display processing unit uses appropriate visualization data from the analysis result database so that important physical quantities such as maximum or minimum values do not leak based on the display range, and the data amount in the display range is almost constant. Visualization processing is performed by selecting points, and the results are output as physical quantity distribution visualization data such as contour lines.At the same time, background data corresponding to the newly given display range is retrieved from the stored background information database and imported. The output physical quantity distribution visualization data and the captured background data are combined and displayed.

Another feature of the present invention is that the background data and the numerical analysis result are made into visualization diagrams such as contour maps and vector diagrams of physical quantity distribution, and these are combined and displayed.

According to the present invention, as described above, the air pollution environment simulation system selects appropriate models and input parameters so as to match the measured values, and promptly determines the diffusion status of air pollutants released into the atmosphere. When calculating and displaying the results together with the background data, it becomes an analysis target in the atmospheric environment simulation system that can consistently perform advanced visualization that can increase or decrease the degree of detail of the physical quantity to be visualized according to the display range. Each pollutant emission source that contributes to air pollution can be estimated from the atmospheric diffusion simulation result according to the conditions of the emission source.

[0064]

As described above, according to the present invention, the analysis conditions for estimating the emission source of the pollutant of the measurement result by referring to the emission source information stored in advance in the database and the measurement value result are obtained. Emission sources can be estimated by automatically setting and adjusting suitable models and input parameters. Further, the degree of detail of data can be changed and displayed so that an important physical quantity such as a maximum value or a minimum value does not leak depending on the display range.

[Brief description of drawings]

FIG. 1 is a functional configuration diagram of an air pollution prediction environment simulation system.

FIG. 2 is an example showing a format of a database.

FIG. 3 is an operation flow diagram of an input parameter tuning unit.

FIG. 4 is an operation flow diagram of input data creation and numerical simulation processing.

FIG. 5 is an operation flowchart of the emission source estimation unit.

FIG. 6 is a flow chart of a discharge amount adjusting operation in which an error in concentration distribution is minimized.

FIG. 7 is an operation flow diagram of the air pollution prediction environment simulation system.

FIG. 8 is an example showing a format of a map database.

[Explanation of symbols]

1 ... Input device, 2 ... Output device, 3 ... Input condition, 4 ... Input condition selection result A, 5 ... Input condition selection result B, 6 ... Numerical calculation input data, 7 ... Display condition, 10 ... Air pollution prediction environment simulation System, 11 ... Model selection unit, 12
... database part, 121 ... analysis case database, 1
211 ... Emission source information, 123 ... Simulation model database, 124 ... Emission source database, 13 ... Input parameter tuning unit, 131 ... Input data creation, numerical simulation process, 132 ... Input condition A
Simulation calculation result 133 ... Measured value, measurement condition, 14 ... Input creation unit, 15 ... Numerical calculation processing unit, 151
... numerical analysis result of the entire range of the target area, 16 ... display combining section,
17 ... Data storage unit, 171 ... Map database, 17
2 ... Analysis result database, 18 ... Visualized data selection processing unit, 19 ... Display processing unit, 20 ... Emission source estimation unit, 20
1 ... Error with measured value, 202 ... Emission source estimation, 203 ... Concentration distribution due to variation in emission amount of each emission source, 204 ... Error evaluation example between concentration distribution and measurement position, 205 ... Error, maximum value, minimum value and distance From the load calculation of each emission source, 206 ... Adjusted emission amount of each emission source, 207 ... Sensitivity analysis by adjusted emission amount of each emission source, 191 ... Display accuracy map data, 192 ...
Physical quantity distribution data for display accuracy visualization, 193 ... Physical quantity distribution visualization data, 21 ... Wide area map image diagram, 22 ...
Image of narrow area map, 23 ... X direction display range (X
A), 24 ... Y direction display range (YA), 25 ... X direction display range (XB), 26 ... Y direction display range (YB), 27
… Analysis result image diagram.

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Asao Yamamoto             Hitachi 2-3-1, Saiwaicho, Hitachi-shi, Ibaraki             Engineering Co., Ltd.

Claims (4)

[Claims] 1. A method for performing an environmental simulation from input conditions such as atmospheric conditions, meteorological data, topographical data of an evaluation range of air pollutant diffusion, etc., wherein a model suitable for the simulation is selected from the input conditions and the input conditions are selected. In order to improve the analysis accuracy, select the adjustment input parameter from the measured value data of the database part, create the input data for the simulation from the analysis condition by the model and the selected adjustment input parameter, and perform the simulation. And an emission source measurement value data are calculated, and an emission source is estimated corresponding to the data having the minimum deviation. 2. The display device according to claim 1, which holds map data of an evaluation range of the air pollutant diffusion, selects map data including the estimated air pollution source, and uses the selected map as a background. An environmental simulation method for estimating the source of air pollution, which is characterized by being displayed on. 3. A model selection unit for selecting a model suitable for a simulation from the input conditions in a system for performing an environmental simulation by inputting atmospheric conditions, meteorological data, topographical data of an evaluation range of air pollutant diffusion, and the like. An input parameter tuning unit that selects adjustment input parameters from measured value data of a database unit for improving analysis accuracy from the input conditions, and input data for simulation is created from the analysis conditions by the model and the selected adjustment input parameters. An input creating unit, a numerical calculation processing unit that performs a simulation by the created input, a deviation between the result and the emission source measurement value data, and an emission source that estimates the emission source corresponding to the data with the minimum deviation. Air pollution characterized by having a source estimation unit, Environment simulation system of Namagen estimated. 4. A display data storage unit for storing background data such as the analysis result or map data to be analyzed, and an analysis result or background data having accuracy or information according to analysis conditions. Air pollution occurrence characterized by comprising a visualization data selection processing unit, a display processing unit for synthesizing and visualizing analysis results and background data, and a display device for performing display by the output of the display processing unit Source estimation environmental simulation system.