JP2005128691A - Dust dispersion simulation apparatus and method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a dust dispersion simulation apparatus and method that can predict dust and a dust fall due to construction machinery used in road construction and surface maintenance in consideration of topographic influences. <P>SOLUTION: The dust dispersion simulation apparatus 10 has an input device 1, a storage device 3, an output device 2, and an arithmetic device 4. The arithmetic device 4 comprises a data input part 6, a parameter setting part 7, a dust fall calculation part 8, an analysis result output part 9, and a work data memory 5. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a technique related to atmospheric diffusion simulation, and more particularly, to a dust diffusion simulation apparatus and method for predicting dust and falling dust generated during road construction and surface maintenance business.

  Environmental assessment of dust, etc. related to construction work was made in 1999 because dust and falling dust generated by the operation of construction machinery during road construction, etc. adhere to houses, laundry and clothing, causing problems from hygiene and beauty points. It has been implemented since June. Along with this, it is necessary to predict the dust and falling dust by construction machines and evaluate the environmental impact during road construction and surface maintenance projects.

  With regard to the prediction of the amount of dust fallen, along with the implementation of the environmental assessment of dust and the like related to construction work, “a method for predicting the amount of dust fall by operation of construction machinery” is provided as a road environmental assessment technology. In this technique, an approximate value of the amount of dust fall is obtained by an empirical formula based on the result of the case analysis, so that the monthly average amount of dust fall by season can be predicted.

  The atmospheric diffusion simulation of light pollutants such as gaseous substances and suspended particulate substances in the atmosphere is described in Patent Document 1 below.

JP 2002-207002 A

  Although the conventional technology can predict the average amount of dustfall over the long term, it cannot make short-term and excessive predictions, and road construction and surface improvement projects are conducted in areas where the influence of mountain topography cannot be ignored. Despite the fact that it is often found, it has a problem that the influence of topography cannot be considered.

  An object of the present invention is to provide a dust diffusion simulation apparatus and method capable of predicting the amount of dust and falling dust by a construction machine used in road construction and surface maintenance business in consideration of the influence of topography.

  The dust diffusion simulation device of the present invention includes an input device, a storage device, an output device, and a calculation device, and the calculation device includes a data input unit, a parameter setting unit, a falling dust amount calculation unit, and an analysis result output unit. The data input unit registers the meteorological data, the dust type and the prediction condition input from the input device in the work data memory, and the parameter setting unit is based on the meteorological data. Consists of a diffusion parameter setting unit that sets diffusion parameters and a particle size parameter setting unit that sets particle size parameters based on the type of dust. The dustfall amount calculation unit uses empirical formulas using input data registered in the work memory. A calculation unit that calculates the amount of dustfall caused by the dust, the input data registered in the work memory, and the diffusion parameters and particle size parameters set in the parameter setting unit. It is composed of a detailed numerical calculation unit that calculates the amount of dust fall by the detailed numerical calculation model using the data, and the analysis result output unit stores the amount of dust fall calculated by the dust fall amount calculation unit as the result of dust fall case analysis It is characterized in that it is stored in the device, and the accumulated dust amount and airborne dust concentration distribution result is combined with the topographic map or topographic map and displayed on the output device.

  In addition, the dust diffusion simulation method of the present invention performs detailed diffusion calculation using a detailed numerical calculation model based on weather data, prediction condition data, and altitude data, so as to match the amount of dust fall per day based on an empirical formula. It is a short-term and excessive dust diffusion simulation method that takes into account the influence of topography easily and quickly without tuning knowledge of the atmosphere by tuning parameters.

  The dust diffusion simulation apparatus of the present invention can predict the diffusion of dust and falling dust that simulates an actual phenomenon by a short-term and excessive detailed numerical calculation simulation considering the influence of topography.

  The dust diffusion simulation apparatus has an input device, a storage device, an output device, and an arithmetic device. The computing device includes a data input unit, a parameter setting unit, a dustfall amount calculation unit, an analysis result output unit, and a work data memory. The data input unit registers the meteorological data and the dust type and prediction conditions input and instructed from the input device in the work data memory, the parameter setting unit sets a diffusion parameter based on the meteorological data, It consists of a particle size parameter setting unit that sets particle size parameters based on the type of dust. The dustfall calculation unit calculates the dustfall amount by empirical formula using the input data registered in the work memory, the input data registered in the work memory and the diffusion parameters and particles set in the parameter setting unit. It consists of a detailed numerical calculation unit that calculates the amount of dust fall by the detailed numerical calculation model using the diameter parameter. The analysis result output unit stores the amount of dust fall calculated by the dust fall amount calculation unit in a storage device as the dust fall case analysis result, and displays the accumulated dust fall value and airborne dust concentration distribution result as a topographic map or topographic map. Combine and display on the output device.

  FIG. 1 shows an embodiment of a dust diffusion simulation apparatus according to the present invention.

  In FIG. 1, a dust diffusion simulation apparatus 10 includes an input device 1, an output device 2, a storage device 3, and a calculation device 4. The calculation device 4 includes a data input unit 6, a parameter setting unit 7, and a falling dust amount calculation unit. 8. A work data memory 5 and an analysis result output unit 9 are provided.

  The parameter setting unit 7 includes a diffusion parameter setting unit 7a and a particle size parameter setting unit 7b, and the dustfall amount calculation unit 8 includes a calculation unit 8a based on an empirical formula and a detailed numerical value calculation unit 8b. The data input unit 6 registers the meteorological data, the prediction conditions, and the altitude data, which are instructed and read from the input device 1, in the work data memory 5.

  The diffusion parameter setting unit 7a constituting the parameter setting unit 7 selects a diffusion parameter so as to reproduce the amount of dust fall per day based on an empirical formula from the weather data, and registers it in the work data memory 5. The particle size parameter building shape creation unit 7b sets the particle size parameter in the work data memory 5 in accordance with the construction type and soil quality to be predicted based on the prediction condition and reproduces the amount of dust fallen as a result of the empirical formula. register.

  In the falling dust amount calculation unit 8, the calculation unit 8 a based on an empirical formula obtains the daily falling dust amount based on the empirical formula using the weather data and registers it in the work data memory 5. The detailed numerical calculation unit 8b performs short-term and excessive diffusion calculation in consideration of topography using a detailed numerical calculation model (random walk model) using weather data, prediction conditions, altitude data, diffusion parameters, and particle size parameters. The amount of dustfall per day, the concentration of suspended dust in the air, and the integrated amount of dustfall are obtained and registered in the work data memory 5.

  The analysis result output unit 9 organizes the daily dust fall amount, the airborne dust concentration distribution, and the dust fall integrated amount obtained by the dust fall amount calculation unit 8 together with the input conditions and stores them in the storage device 3. The altitude data input by the input device 1 is combined and displayed and output to the output device 2.

  FIG. 2 is a processing flow of the dust diffusion simulation apparatus 10, FIG. 3 is a detailed flow of steps S5 to S8 in FIG. 2, and the processing procedure will be described later.

  First, in order to facilitate understanding of the present invention, prediction of dust and the like accompanying construction work will be described.

  Dust is classified into suspended dust and falling dust. These are released into the atmosphere by the operation of construction machinery. Suspended dust affects the environment, such as discomfort caused by direct inhabitants, and falling dust affects sanitary problems caused by adhering to buildings, clothes, and laundry. As mentioned above, environmental assessments such as dust related to construction are conducted, and it is necessary to evaluate the environmental impact of such dusts, etc., and the road environmental assessment “Prediction Method of Dust Dust by Operating Construction Machines” Is provided.

  This prediction method is based on the plume formula of gaseous substances commonly used for atmospheric dispersion, and conducts a case analysis to determine the amount of suspended dust fall (the amount of dustfall), and the case analysis results are combined with construction machinery. For each (unit), a coefficient representing the diffusion of the dustfall is obtained empirically, and an empirical formula for the amount of dustfall per day is provided.

  Concerning the actual generation and diffusion of dustfall, the contents of construction, soil quality, construction machine type and operation status, dust properties, weather, topographical influences, etc. are complicatedly related. There is a need for short-term and excessive analysis to determine the average hourly value of the belt. Since it is difficult to carry out a detailed analysis that takes these into account, this method does not consider the effects of topography or the short-term effects of weather, but uses coefficients and weather that represent the dispersion of dustfall per unit. Based on the above, the average value for each season in consideration of the amount of dustfall per day and the number of working days is obtained and used for the assessment of environmental assessment.

  On the other hand, the amount of dustfall was evaluated based on short-term and excessive one-hour values rather than the average of one day or four seasons, based on the residents' feeling of damage, and a detailed numerical calculation model that considered the topographical effects and weather conditions was used. Evaluation is required. In general, detailed analysis using fluid analysis simulation is possible, but modeling is difficult, requiring a lot of calculation time and a large computer for the calculation. The reality is that it is not realistic to do.

  Because of this situation, the dust and the like associated with the construction work are estimated based on an empirical formula based on the average of the four seasons taking into consideration the amount of dust fall and the number of working days per day.

  Next, the processing of the dust diffusion simulation apparatus 10 according to the present invention will be described with reference to FIGS.

  The data input unit 6 inputs meteorological data (wind speed) from the input device 1 in step S1, sets the meteorological data (atmospheric stability) to D (neutral) and registers it in the work data memory 5 in step S2. In step S3, the latitude, longitude and X direction prediction range of the reference point, the Y direction prediction range and the X direction prediction mesh number, the Y direction prediction mesh number, and the type of construction machine Coefficient data representing the dust dispersion of the units classified according to the construction type is input and registered in the work data memory 5.

  Based on the input data registered in the work data memory 5 in step S 4, the calculation unit 8 a based on the empirical formula of the dust fall calculation unit 8 calculates the daily dust fall amount based on the empirical formula and stores it in the work data memory 5. register.

  The diffusion parameter setting unit 7a and the particle size parameter setting unit 7b of the parameter setting unit 7 set the diffusion parameter and the particle size parameter based on the input data registered in the work data memory 5 in step S5 and store them in the work data memory 5. register.

  In the detailed numerical calculation unit 8b of the falling dust amount calculation unit 8, the dust diffusion calculation by the detailed numerical calculation model (random walk model) based on the input data, diffusion parameter and particle size parameter registered in the work data memory 5 in step S6. The amount of dustfall per day is calculated and registered in the work data memory 5.

  Detailed processing from step S5 to step S8 will be described with reference to FIG.

  In step S101, the horizontal diffusion parameter σy and the vertical diffusion parameter σz of the atmospheric stability D (neutral) set in step S2 are set as initial values of the diffusion parameters. In step S102, the initial value of the particle size parameter is set based on the dust fall case analysis result of the storage device 5 based on the unit classified by the construction content. FIG. 6 shows an example of the result of classifying and storing the particle size for each type of construction and soil quality in the dustfall case analysis. Thereby, the particle diameter according to the kind of soil of construction according to prediction conditions is set as an initial value.

  In step S103, the sedimentation velocity is obtained from the particle diameter, and in step S104, dust diffusion analysis is performed using a detailed numerical calculation model (random walk model), and the amount of dustfall per day is calculated and registered in the work memory 5.

  In step S104, the difference between the daily dust fall amount based on the empirical formula obtained in step S4 and registered in the work memory 5 and the daily dust fall amount based on the detailed numerical calculation model (random walk model) obtained in step S103 is obtained. In step S106, a comparison is made with the judgment reference value set in advance. If the difference in the amount of dustfall is larger than the determination reference value, the diffusion parameter is corrected from the difference in the amount of dustfall in step S107.

  FIG. 4 shows an example in which the values of the diffusion parameters σy and σz are classified and stored in the storage device 5 according to the difference in the amount of dustfall in one day among the dustfall case analysis results. As a result, the diffusion parameter is corrected and a new diffusion parameter value is set and registered in the working memory 5. In step S108, the particle size parameter is corrected from the difference in the amount of dustfall. FIG. 5 shows an example in which the particle size and settling velocity values are classified and stored in the storage device 5 according to the difference in the amount of dust fall per day from the dust fall case analysis results. As a result, the particle diameter is corrected, a new particle diameter parameter value is set and registered in the work memory 5. Next, returning to step S103, the procedure up to step S106 is repeatedly executed until the difference in the amount of dustfall per day becomes equal to or less than the determination reference value.

  If the difference in the amount of dustfall per day is equal to or less than the criterion value, in step S109, the diffusion parameter and particle size parameter obtained in steps S103 to S108 are used to reproduce the amount of dustfall per day based on empirical formulas. And the particle size parameter are registered in the work data memory 5. Further, the daily dust fall difference obtained in steps S103 to S108, the diffusion parameters, the particle diameter, and the sedimentation velocity data are classified and arranged as shown in FIGS. Save to analysis results.

  Returning to FIG. 2, the altitude data of the prediction range is input from the input device 1 in the data input unit 6 in step S <b> 9 and the actual weather data is input in step S <b> 10 and registered in the work data memory 5. FIG. 7 shows an example of elevation data. Dividing the prediction range on the mesh, and calculating the average elevation of the mesh by interpolating from the mesh surrounding values of the commercially available elevation data, and using it as an input, it is possible to make predictions that take into account terrain effects Become.

  FIG. 8 shows an example of actual weather data. By inputting and using the wind direction, wind speed, and atmospheric stability every hour as actual weather data, it is possible to make predictions that take into account the short-term effects of weather.

  Using the altitude data, actual weather data, and the diffusion parameters and particle size parameters set in steps S5 to S8 in step S11 in the detailed numerical value calculation unit 8b of the falling dust amount calculation unit 8, Dust diffusion calculation is performed using a detailed numerical calculation model (random walk model) that takes actual weather data and altitude into consideration under the calculation conditions that match the amount of dustfall, and the airborne dust obtained as a result in steps S12 and S13 The concentration distribution and the accumulated dust amount integrated value are registered in the work data memory 5.

  The analysis result output unit 9 synthesizes and displays the airborne dust concentration distribution and the accumulated dust amount integrated value registered in the work data memory 5 with the altitude data, and displays the two-dimensional or three-dimensional contour diagram on the output device 2. Output. Further, the meteorological conditions such as wind direction, wind speed, and atmospheric stability, altitude data, and the dust diffusion simulation result associated with the unit that classifies the construction machine type and construction type are stored as the falling dust amount case analysis result of the storage device 3.

  In this way, it is possible to perform a short-term, excessive detailed numerical simulation that takes into account the influence of topography, reproducing the daily amount of dustfall by an empirical formula, thereby simulating actual phenomena. Prediction of dust fall can be predicted.

  FIG. 9 shows an example in which the result of predicting the amount of suspended dust and falling dust using the present invention is edited into a concentration distribution diagram.

It is a block diagram which shows one Example of this invention. It is a processing flowchart for demonstrating operation | movement of this invention. It is a processing flowchart for demonstrating operation | movement of this invention. It is a figure for demonstrating this invention. It is a figure for demonstrating this invention. It is a figure for demonstrating this invention. It is an example figure of the altitude data for demonstrating this invention. It is an example figure of the weather data for demonstrating this invention. It is a figure which shows an example of the prediction result by this invention.

Explanation of symbols

1 ... Input device 2 ... Output device 3 ... Storage device (falling dust amount case analysis result)
4 ... processing unit 5 ... working data memory 6 ... data input unit 7 ... parameter setting unit 7a ... diffusion parameter setting unit 7b ... particle size parameter setting unit 8 ... descent dust calculation unit 8a ... empirical formula calculation unit 8b ... Detailed numerical calculation unit 9 ... Analysis result output unit 10 ... Dust diffusion simulation device

Claims (2)

  In the dust diffusion simulation apparatus having an input device, a storage device, an output device, and a calculation device, the calculation device includes a data input unit, a parameter setting unit, a falling dust amount calculation unit, an analysis result output unit, and work data. The data input unit registers weather data and dust types and prediction conditions input and instructed from an input device in the work data memory, and the parameter setting unit is based on the weather data. Consists of a diffusion parameter setting unit for setting a diffusion parameter and a particle size parameter setting unit for setting a particle size parameter based on the dust type, and the dustfall amount calculation unit uses input data registered in the working memory The calculation unit that calculates the amount of dustfall by empirical formula, the input data registered in the working memory and the parameter setting unit It consists of a detailed numerical calculation unit that calculates the amount of dust fall by the detailed numerical calculation model using the determined diffusion parameter and particle size parameter, and the analysis result output unit is the amount of dust fall calculated by the dust fall amount calculation unit Is stored in the storage device as an example analysis result of the amount of dust fall, and the accumulated dust fall value and airborne dust concentration distribution result are combined with the topographic map or topographic map and displayed on the output device. Simulation device.   Simulation of dust diffusion, including wind direction, wind speed, atmospheric stability weather data, prediction range reference point latitude and longitude, prediction range length, number of prediction meshes, prediction mesh width, etc. Perform detailed diffusion calculation by detailed numerical calculation model based on altitude data, tune the diffusion parameter and particle size parameter for each predicted position and atmospheric stability so that it matches the daily dustfall amount by empirical formula, A dust diffusion simulation method characterized by simulating the actual dust diffusion state including the influence of topography based on the dust fall evaluation by empirical formula.

Images