KR100370497B1 - Method of predict air spread - Google Patents

Abstract

The present invention relates to a method for predicting air pollution diffusion for managing an air pollution discharge facility. The process of inputting weather data, terrain data, emission sources, and surrounding building data according to the situation of Korea is composed of a GUI (Graphic User Interface). This is done by checking the user directly on the window screen, so it is also possible to use the site manager of the business site.The result data of the modeling can be plotted in the same concentration curve, and the result analysis and report can be created immediately. Data entry without inconvenience; Select model; Modeling performance; Analysis of results; In order to execute the report output in one window software, especially if the user inputs the chimney TM coordinates anywhere in Korea, the Korea Meteorological Agency's virtual data and terrain elevation data for 10.0 km x 10.0 km area around the chimney. Since it is built as a database (DataBase) in the present invention to be automatically reflected in the modeling calculation.

Description

Air pollution spread forecasting method for managing air pollution emission facilities {METHOD OF PREDICT AIR SPREAD}

The present invention relates to air pollutant diffusion modeling for predicting the diffusion process of air pollutants discharged from the chimney. Air pollution diffusion forecasting method for managing pollutant discharge facility.

In the future, the Ministry of Environment's air environment management policy will focus on strengthening the management of pollutant sources, including strengthening air pollution investigations and strengthening air pollutants at work sites. Modeling methods include ISCST model, ISCLT model and SCREEN model, which are composed of FORTRAN language on the EPA Internet site http://www.epa.gov/scram001. Download and use.

By the way, since the weather input data format is adapted to the foreign weather data system, the software requires a lot of effort and time to process the Korean weather data and input it to the software.

In addition, the existing air diffusion modeling software has complicated data input methods such as source data, influences of surrounding buildings, and terrain data. Output of model results; In interpreting the output result, the user must select the case suitable for the situation with expert knowledge and input the data manually. There is no report output.

In summary, the existing air pollutant diffusion modeling method for the workplace adopts a data input method that is not suitable for the Korean situation, and the configuration is complicated, and thus there is a limit to use it by an on-site manager who is not an expert in the field of modeling. In addition, data input, modeling, result analysis, report preparation, etc. are not done in one software, but different software is used, so it is inconvenient to use in field workplaces.

Therefore, the present invention is to solve the above-mentioned conventional problems, the input process of weather data, terrain data, discharge source, surrounding building data, etc. according to the situation of Korea is composed of a GUI (Graphic User Interface) in the window screen As it is done by the user, it can be used by the site manager of the workplace. The result data of the modeling can be plotted into the contribution concentration curve, so that the result analysis and report can be created immediately, without the user having to use the respective software. , Data entry; Select model; Modeling performance; Analysis of results; Its purpose is to provide an air pollution diffusion forecasting method for managing air pollution emission facilities that executes the report output process in one window software. The weather and terrain elevation data of Korea Meteorological Agency for 10.0 km x 10.0 km area, based on the chimneys, are built into the database in the software of the present invention so that it is automatically reflected in the modeling calculations.

1 is a block diagram showing an air pollution diffusion prediction method for managing an air pollution discharge facility according to the present invention;

2 is a view showing a discharge source (chimney) data input window of the present invention,

3 is a view showing a modeling area selection window of the present invention;

4 is a view showing the surrounding building input window of the present invention,

5 is a view showing a pollutant selection and model type selection window of the present invention,

Figure 6 is a view showing the isoconcentration curve of the present invention in a line, Figure 7 is a view showing the isoconcentration curve of the present invention in a plane,

8 is a view showing the highest contribution concentration analysis in the report output of the present invention in TMX, TMY coordinates.

Air pollution diffusion prediction method for managing the air pollution discharge facility according to the present invention for achieving the above object, in the method for predicting the air pollution diffusion for managing the air pollution discharge facility using a computer, Inputting user data of the chimney) data, the fuel data and the building data surrounding the chimney; Extracting weather and terrain data from a pre-stored database; Analyzing and processing the user data and meteorological and topographical data to select one of short-term models, long-term models, and screen models to perform atmospheric diffusion modeling; Graphically displaying the contribution concentration and isoconcentration curve of the modeling calculation result; And generating and displaying a report according to the modeling calculation result. In addition, the discharge source (chimney) data is discharged to the concentration of the chimney in the chimney data input window displayed on the computer screen, chimney discharge Enter the gas temperature, the chimney exhaust gas speed, the inside diameter of the chimney. In addition, the discharge source (chimney) data is entered into the chimney TM coordinates of the workplace in the chimney data input window displayed on the computer screen, centered on the chimney TM coordinates entered 2.5 km x 2.5 km; 5.0 km x 5.0 km; After constructing an electronic map of 3 sizes, such as 10.0 km x 10.0 km, the light density curve is plotted and displayed. Also, the building data around the chimney is displayed on the computer window, and the height and coordinates of the building around the chimney. If you enter, the modeling calculation step is performed by calculating the downwash effect of buildings in 36 directions for short-term models and 16 directions for long-term models. Phenomenon refers to a phenomenon in which buildings are located around the chimney and affect the diffusion of the chimney discharge material. Also, the isoconcentration curve plot of the modeling calculation results shows the coordinates of the acceptance point for the concentration of the pollutant resulting from the model calculation. After making it into an array, using the principle of displaying the same color value for coordinates with the same concentration value, In addition, the screen model plots and displays the concentration curve. In addition, the screen model calculates the maximum one hour contribution concentration to the surroundings by considering the worst weather conditions in one degree interval and 360 degrees in the air diffusion modeling calculation. do.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

As shown in Figure 1, the step of inputting the user data includes the input of the discharge source chimney data, user fuel data, and the chimney surrounding building data.

In the chimney data input window of the present invention, when the pollutant concentration of the workplace chimney, the chimney exhaust gas temperature, the chimney exhaust gas speed, the inside diameter of the chimney top is input, the pollutant emission from the chimney is calculated and introduced into the modeling part of FIG. And inputting the chimney TM coordinates of the workplace, 2.5 km x 2.5 km around the input chimney TM coordinates; 5.0 km x 5.0 km; Three sizes of electronic maps, such as 10.0 km x 10.0 km, are introduced in the contribution isocontour plotting portion of the present invention. (See Fig. 3)

According to the used fuel processing portion of Figure 1, when the user inputs the type of fuel, and input the amount of fuel used, by using the pollutant emission coefficient of the fuel contained in the present invention, the emission of pollutants according to the fuel consumption Is calculated and automatically introduced into the modeling calculation portion of the present invention.

According to the processing portion of the building data surrounding the chimney of Figure 1, after inputting the height of the building around the chimney in the surrounding building setting window of the present invention, by inputting the coordinates, by the building trickling phenomenon pre-processing program embedded in the present invention, The degree of influence of the DownWash of the building in the air diffusion of the chimney exhaust pollutants is calculated in 36 directions for the short-term model and 16 directions for the long-term model, and is automatically introduced into the modeling calculation of the present invention. )

In the existing atmospheric diffusion model, the input data processing required for the modeling calculation is mostly done on MS-DOS, the source chimney data of Figure 1; Fuel data used; Although the input processing of the building data around the chimney is performed on each program instead of one program, the user was inconvenient. However, in the present invention, the input processing is performed on one GUI (Graphic User Interface) window software screen instead of DOS. Therefore, the user can easily perform the task while checking the input status.

According to the database part of FIG. 1, when a user selects an area and topographical data for modeling in a window window, the present invention is based on the TM coordinates of the chimney introduced from the source (chimney) data part of FIG. 1. , 2.5 km x 2.5 km; 5.0 km x 5.0 km; The terrain and elevation data for three areas, 10.0 km x 10.0 km, are introduced into the modeling calculations.

The present invention has built-in topographical data and weather files centering on the TM coordinates of the workplace chimneys. The present invention is a method that can perform atmospheric diffusion modeling according to our situation for any chimney in Korea. This is a method not found in traditional atmospheric diffusion modeling.

According to the modeling portion in Figure 1, the user is a short-term model; Organ model; When the screen model is selected, the model is calculated using the data introduced in the modeling calculation (see Fig. 5).

The short-term model of the model is to receive the weather data in units of 1 hour to perform modeling calculations, 1 hour; 8 hours; 24 hours; 1 month; season; It is a method which shows the density value, such as 1 year.

The long-term model among the above models includes six kinds of wind speeds; Wind direction in 16 directions; 1 month by introducing weather file in the form of frequency function table consisting of 6 levels of atmospheric stability; season; It is a method which shows the contribution concentration value, such as 1 year.

Among the models, the screen model is a method of calculating the maximum contribution concentration in units of 1 hour that the source emits to the surroundings in consideration of the worst weather conditions in the 1 degree interval and 360 degrees in the air diffusion modeling calculation.

In the conventional screen model, only one direction result value was calculated in one modeling calculation process, but the screen model of the present invention derives the calculation result in 360 directions at one degree intervals through one modeling calculation process. It is characterized by. In addition, the existing atmospheric diffusion modeling is a long-term model; Short-term model; Although it was inconvenient to calculate the screen model by setting the respective programs on DOS, in the present invention, the long-term model was simply selected on the window screen; Short-term model; Modeling calculations can be performed by selecting a screen model. (See Fig. 5)

According to the database part of FIG. 1, when the modeling to be calculated in the modeling part is determined, the user can select a weather file suitable for the model in a window window, and the present invention automatically introduces the selected weather file into the modeling calculation. .

In the existing model, there is no general-purpose weather data that suits the characteristics of Korea, but only some experts have prepared and used the weather data that fits the model. It is provided for computational purposes.

According to the contribution isoconcentration curve diagram of FIG. 1, the present invention performs a contribution concentration analysis in which the contaminant contribution concentration value, which is a result of the modeling calculation, is displayed on a window window for each accommodation point coordinate. In addition, by using the principle of making the coordinates of the receiving point for the contribution concentration of the pollutant resulting from the modeling in an array form, and displaying the same color value for the coordinates having the same concentration value, The contribution isoconcentration curve is plotted on an electronic map centered on TM coordinates, and saved as a picture file with a bmp extension according to the user's choice.

In the existing model, there is no function to map the contribution isoconcentration curve using the pollutant concentration value that is the result of the model execution, and if the user wants to implement the contribution isoconcentration curve, it is inconvenient to write using other programs. there was. However, in the present invention, the contribution concentration shown in the model execution can be used to plot the contribution isoconcentration curve on the electronic map on one window software without program replacement.

6 and 7, a window screen showing the contribution isoconcentration curve using the concentration values shown in the modeling results can be seen.

According to the report portion of Figure 1, the company status according to the user's selection; Chimney material; Prevention facility status; Surrounding buildings; Fuel consumption; Modeling area; Terrain data; Output the maximum contribution concentration to the printer.

One page of the maximum contribution concentration report appearing by rank of the high pollution value in the output report is shown in FIG. 8. Although the preferred embodiment of the present invention has been described and described above, the present invention is not limited to the above embodiment. Without departing from the gist of the invention claimed in the claims, it is apparent that any person skilled in the art to which the invention pertains can make various modifications, and such changes are within the scope of the claims as set forth herein. do.

According to the air pollution diffusion prediction method for managing the air pollution discharge facility according to the present invention as described above, the user by measuring the company status, chimney data, pollutants by automatically supporting the weather and terrain input data in the software By inputting data and surrounding building data, it is easy to calculate the influence of pollutants emitted from the chimney on the surroundings, as well as outputting the calculated concentration data as a report and contributing to the guidance of the modeling area. By plotting the curve, it provides a visual representation of the spread of pollutants into the atmosphere. In addition, if the user inputs the chimney TM coordinates, anywhere in the country, the weather and data on the 10.0 km x 10.0 km area of the chimney center and terrain altitude data is reflected in the modeling calculation of the present invention. Therefore, the present invention can be usefully used for the prediction of major pollutant sources in the industrial area, national air management policy, and air environment management.

Claims (6)

In the method for predicting the air pollution spread to manage the air pollution discharge facility using a computer, Inputting user data of the discharge source (chimney) data, the fuel data used, and the building data around the chimney; Deriving weather and terrain data from a pre-stored database; Analyzing and processing the user data and meteorological and topographical data to select one of short-term models, long-term models, and screen models to perform atmospheric diffusion modeling; Graphically displaying the contribution concentration and isoconcentration curve of the modeling calculation result; Air pollution diffusion prediction method for managing the air pollution discharge facility characterized in that the step of creating and displaying a report according to the modeling calculation results. According to claim 1, wherein the discharge source (chimney) data is Air pollution diffusion for managing the air pollution discharge facility characterized by inputting the concentration of the pollutant in the chimney, chimney exhaust gas temperature, chimney exhaust gas speed, the inside diameter of the chimney in the chimney data input window displayed on the computer screen Prediction Method. According to claim 1, wherein the discharge source (chimney) data is If you enter the chimney TM coordinates of the workplace in the chimney data input window displayed on the computer screen, 2.5 km x 2.5 km around the chimney TM coordinates entered; 5.0 km x 5.0 km; An air pollution spreading prediction method for managing an air pollution discharge facility, characterized by constructing an electronic map of three sizes, such as 10.0 km x 10.0 km, and plotting and displaying an equal concentration curve. According to claim 1, wherein the chimney surrounding building data If you enter the height and coordinates of the building around the chimney in the surrounding building setting window displayed on the computer screen, the effect of the downwash effect on the air diffusion of the chimney emission pollutants is 36 directions for the short-term model and the long-term model. In the case of the air pollution diffusion prediction method for managing the air pollution discharge facility, characterized in that to obtain a modeling calculation step by obtaining in 16 directions. The method of claim 1, wherein the isoconcentration plot of the modeling calculation result is Using the principle that the coordinates of the acceptor points for the concentration of pollutants resulting from the model calculations are arranged in an array form, the coordinates with the same concentration values are displayed with the same color value. Air pollution diffusion prediction method for managing the air pollution emission facility characterized in that the curve is represented by a line and plane. The method of claim 1, wherein the screen model Air pollution diffusion prediction for managing air pollution emission facilities, which calculates the maximum concentration of 1 hour contribution to the surrounding source considering worst weather conditions at 1 degree intervals and 360 degrees in the air diffusion modeling calculation. Way.