CN113449918A

CN113449918A - Emergency command aid decision-making method and system for sudden major pollution event

Info

Publication number: CN113449918A
Application number: CN202110728191.3A
Authority: CN
Inventors: 廖海斌; 申燚; 许文龙; 曾志辉
Original assignee: ZTE ICT Technologies Co Ltd
Current assignee: ZTE ICT Technologies Co Ltd
Priority date: 2021-05-13
Filing date: 2021-06-29
Publication date: 2021-09-28
Anticipated expiration: 2041-06-29
Also published as: CN113449918B

Abstract

The invention provides an emergency command aid decision-making method and system for sudden major pollution events. The method comprises the following steps: predicting future meteorological data of an emergent major pollution event occurrence position area; calculating a pollution conveying track of a sudden major pollution event according to future meteorological data; determining a digestion factor of the pollution on a pollution conveying track according to future meteorological data; collecting a concentration monitoring value of a target area on a pollution conveying track according to the pollution conveying track; reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track; according to future meteorological data and pollution release rate, performing concentration diffusion simulation of sudden major pollution events to generate a concentration diffusion simulation result; according to the pollution conveying track and the concentration diffusion simulation result, emergency treatment information of the sudden major pollution incident is generated, and therefore rapid and scientific dynamic emergency early warning and decision support for the sudden major pollution incident can be achieved.

Description

Emergency command aid decision-making method and system for sudden major pollution event

The present application claims priority of chinese patent application filed in 13/05/2021 under the name "emergency guidance aid decision making method and system for emergency significant pollution incidents" by the chinese intellectual property office under the application number "2021105245838", the entire contents of which are incorporated herein by reference.

Technical Field

The invention relates to the technical field of emergency treatment of sudden and serious pollution events, in particular to an emergency command assistant decision-making method and an emergency command assistant decision-making system for sudden and serious pollution events.

Background

In the related art, when a serious pollution incident occurs suddenly, detection personnel are difficult to approach the incident place, so that accident information is lost, great difficulty is brought to emergency response work, and the existing emergency plan has poor performability, intelligence and flexibility aiming at special and specific incidents.

Disclosure of Invention

The present invention is directed to solving at least one of the problems of the prior art or the related art.

Therefore, the invention provides an emergency command aid decision-making method for sudden and serious pollution events in a first aspect.

The invention also provides an emergency command assistant decision-making system for sudden and serious pollution events.

A third aspect of the invention also provides a readable storage medium.

In view of the above, the first aspect of the present invention provides an emergency command aid decision method for a sudden major pollution incident, including: predicting future meteorological data of an emergent major pollution event occurrence position area; calculating a pollution conveying track of a sudden major pollution event according to future meteorological data; determining a digestion factor of the pollution on a pollution conveying track according to future meteorological data; collecting a concentration monitoring value of a target area on a pollution conveying track according to the pollution conveying track; reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track; according to future meteorological data and pollution release rate, performing concentration diffusion simulation of sudden major pollution events to generate a concentration diffusion simulation result; and generating emergency treatment information of the sudden major pollution event according to the pollution conveying track and the concentration diffusion simulation result.

According to the emergency command auxiliary decision-making method for the sudden major pollution incident, when the sudden major pollution incident occurs, the future meteorological data of the occurrence position area of the sudden major pollution incident are predicted, the predicted future meteorological data are analyzed and utilized, and the future conveying track of pollution and the digestion factor of the pollution on the conveying track are calculated; the concentration monitoring value in the target area of the pollution conveying track can be obtained in real time according to the calculated pollution conveying track, the pollution release rate of the generation position area can be reversely deduced according to future meteorological data and the concentration monitoring value, the pollution concentration diffusion simulation can be carried out by combining a meteorological field after the pollution release rate is obtained, a concentration diffusion simulation result is generated, and an emergency treatment plan of a major emergency is generated according to the calculated pollution conveying track and the concentration diffusion simulation result. By simulating and analyzing the diffusion of the pollution concentration of the sudden major pollution event, corresponding emergency treatment information can be quickly and accurately obtained, and emergency auxiliary decision support is provided for a decision maker, so that the decision maker can make corresponding emergency command actions according to the emergency treatment information, insufficient response or response transition after the sudden major pollution event occurs is avoided, and quick and scientific dynamic emergency early warning and decision support for the sudden major pollution event is realized.

It should be noted that The future meteorological data refers to meteorological data of an area where an emergency major pollution event occurs, which is predicted by using a WRF (The Weather Research and Forecasting model) after The emergency major pollution event occurs, within a period of time in The future.

According to the emergency command assistant decision-making method for the sudden major pollution event, provided by the invention, the following additional technical characteristics can be provided:

in the above technical solution, further, the step of predicting future meteorological data of the location area where the sudden major pollution event occurs specifically includes: acquiring geographic information data of an emergent major pollution event occurrence position area and global forecast field data of a global forecast system; predicting a meteorological field of an emergent major pollution event occurrence position area within a first preset time length according to the geographic information data and the global forecast field data; and predicting future meteorological data of the emergent major pollution event occurrence position area within a first preset time length by using a meteorological forecast model according to the meteorological field, wherein the meteorological field is subjected to difference correction according to the meteorological data observed by the meteorological station in real time, and the future meteorological data is predicted according to the corrected meteorological field.

According to the technical scheme, when a sudden major pollution event occurs, according to the acquired geographic information data and Global Forecast field data of a Global Forecast System (GFS), a weather field of a local area of a sudden major pollution event occurrence position within a first preset time length is quickly forecasted by using WRF. And predicting future meteorological data of the emergent major pollution event occurrence position area within a first preset time length by using WRF according to the meteorological field obtained by prediction. When an emergent major pollution event occurs, meteorological data in a future period of time are predicted quickly, so that preliminary information support is provided for emergency treatment command decisions in time.

It should be noted that, in the present application, the first preset time period indicates a time length of several hours in the future after the occurrence of the serious pollution event, for example, the first preset time period may be 12 hours, and the like, and a person skilled in the art may set the first preset time period according to a specific use scenario, and the present application is not limited thereto.

Furthermore, according to meteorological data, such as wind speed, wind direction, humidity, pressure and the like, of the occurrence position area of the sudden serious pollution event observed in real time by the meteorological station, the difference value correction is carried out on the simulated meteorological field for several hours in the future, and the predicted meteorological field data are more in line with the real situation. And predicting future meteorological data by using WRF according to the corrected meteorological field, so that the predicted future meteorological data is more in line with the real situation.

In any of the above technical solutions, further, the step of calculating the pollution conveying trajectory of the sudden major pollution event according to the future meteorological data specifically includes: and calculating the pollution conveying track of the sudden major pollution event within a second preset time length by using a Lagrange atmospheric diffusion model according to future meteorological data, wherein the second preset time length is less than the first preset time length.

In the technical scheme, after a weather field of a position area where a sudden heavy pollution event occurs for several hours in the future is determined, a pollution conveying track of the sudden heavy pollution event is calculated by using a Hybrid Single-Particle Lagrangian Integrated project model (Lagrangian atmospheric diffusion model) with a second preset time as a resolution ratio according to weather field data. After a major pollution event occurs, the future conveying track of pollution is calculated by quickly predicting meteorological data of a period of time in the future, so that effective early warning of the sudden major pollution event is realized, and the harm caused by the sudden major pollution event is greatly reduced.

Further, the second preset time period is less than the first preset time period, and the second preset time period may be half an hour, and the like.

In any of the above technical solutions, further, the step of collecting a concentration monitoring value of a target area on the contaminated transport trajectory according to the contaminated transport trajectory specifically includes: detecting whether a target area is provided with concentration monitoring equipment or not; concentration monitoring equipment is arranged on the basis of the target area, and concentration monitoring values are acquired by the concentration monitoring equipment; and acquiring the position information of the target area based on the fact that the target area is not provided with the concentration monitoring equipment, controlling the mobile equipment to move to the target area, and collecting a concentration monitoring value by utilizing the mobile equipment.

In the technical scheme, after simulating a pollution conveying track of a sudden major pollution event, detecting whether a concentration monitoring device is arranged in a target area where the pollution conveying track is located, and if the concentration monitoring device is arranged in the target area, monitoring and acquiring a pollution concentration value in the target area in real time through the concentration detecting device; if no concentration monitoring equipment is detected in the target area, the position information of the target area is determined, the mobile equipment with the concentration monitoring equipment is controlled to reach the designated position, the concentration monitoring equipment on the mobile equipment is used for monitoring and collecting the pollution concentration value in the target area, and accurate data collection is carried out on places which are difficult to reach by personnel in special region airspace such as culverts, valleys and the like and shielded by terrain. Through the mode that manual sampling detects and equipment on-line measuring combined together, carry out multisource data fusion, reduce the data acquisition blind area, all-round data acquisition is accomplished to the maximize, improves the accuracy and the real-time of data.

Further, all concentration monitoring points are found on the GIS map of the conveying track through visual display of the mode of combining the polluted conveying track with the GIS (Geographic Information Science) map, concentration monitoring values acquired at the monitoring points are given to each monitoring point, different colors are given to the monitoring points according to the size of the monitoring values, potential risk areas are determined according to the depth of the area colors, and a decision maker can arbitrarily enlarge and reduce the map so as to achieve more accurate positioning and global overview.

In any of the above technical solutions, further, the step of reversely deducing the pollutant release rate of the pollution according to the digestion factor and the concentration monitoring value specifically includes:

the fouling release rate was calculated by the following formula:

q represents the release rate of the contamination from the site area where the sudden major contamination event occurred, M represents the concentration monitoring value of the target area on the contamination transport trajectory, and D represents the digestion factor on the contamination transport trajectory.

The method comprises the steps of collecting different concentration monitoring values of different pollution conveying tracks and target areas at the same time, reversely deducing a plurality of pollution release rates, and carrying out weighted average processing on the pollution release rates to obtain the final pollution release rate.

According to the technical scheme, the pollution release rate of the emergency major pollution event occurrence position area is reversely deduced according to the pollution concentration value and the pollution digestion factor, so that when the pollution event occurs, detection personnel are difficult to approach the occurrence position area, accident information is lost, the pollution release rate cannot be accurately measured, data blind areas are effectively reduced, omnibearing pollution event data acquisition is achieved to the maximum extent, and preliminary information support is provided for emergency treatment commanding and decision making.

Furthermore, a plurality of pollution release rates can be reversely deduced for different pollution conveying tracks obtained by calculation at the same time and different pollution monitoring values collected by a target area, the plurality of pollution release rates are subjected to average processing to obtain a final weighted average pollution release rate, and the accuracy of calculation of the pollution release rate is effectively improved.

In any of the above technical solutions, further, according to future meteorological data and pollution release rate, performing concentration diffusion simulation of a sudden major pollution event to generate a concentration diffusion simulation result, specifically including: according to future meteorological data and pollution release rate, carrying out concentration diffusion simulation of sudden major pollution events to generate a first concentration diffusion simulation result; determining a plurality of preset pollution release rates according to future meteorological data; and carrying out pollution concentration diffusion simulation according to a preset pollution release rate to generate a plurality of second concentration diffusion simulation results, wherein the concentration diffusion simulation results comprise a first concentration diffusion simulation result and a plurality of second diffusion simulation results.

According to the technical scheme, according to predicted future meteorological data and calculated pollution release rate, HYSPLIT is used for pollution concentration diffusion simulation, pollution concentration values in all areas in the pollution diffusion process are determined, a first concentration diffusion simulation result is generated, emergency decision support is timely and scientifically provided for a decision maker, the decision maker can conveniently obtain a better emergency scheme according to the first concentration diffusion simulation result, and the accuracy and the scientificity of handling of sudden major pollution events are improved.

Furthermore, a plurality of pollution release rates are preset according to future meteorological data of the sudden major pollution event, such as wind speed, wind direction, humidity, pressure and the like, under the situation of different pollution release rates, a HYSPLIT model is used for pollution concentration diffusion simulation exercise, and a plurality of second concentration diffusion simulation results are generated, so that a decision maker can quickly and accurately obtain the effect after different pollution release rate measures are adopted, data support is scientifically provided for making an emergency action for the decision maker, and the scientificity and the accuracy of handling the sudden major pollution event are improved.

Furthermore, the first diffusion simulation result is visually displayed in a mode of combining the diffusion of the pollution concentration with a GIS map, different colors are given according to the size of the concentration value, a potential risk area is determined according to the depth of the color of the area, when a decision maker selects a certain point of the diffusion area, the display page can automatically display the pollution concentration value of the area, and the decision maker can conveniently quantify the influence.

In any of the above technical solutions, further, the step of generating emergency treatment information of a sudden major pollution incident according to the pollution transport trajectory and the concentration diffusion simulation result specifically includes: and generating emergency treatment information of the sudden major pollution event according to the pollution conveying track, the first concentration diffusion simulation result and the plurality of second concentration diffusion simulation results.

According to the technical scheme, emergency processing information for handling the sudden major pollution event is timely and scientifically provided for a decision maker according to a pollution conveying track of the sudden major pollution event, a first concentration diffusion simulation result generated by pollution concentration diffusion simulation and a second concentration diffusion simulation result generated by simulation drilling at different pollution release rates, so that the decision maker can conveniently analyze the current comprehensive situation in the shortest time, make reasonable command action and reduce the harm caused by the sudden major pollution event.

In any of the above technical solutions, further, the step of generating emergency processing information of the sudden major pollution event according to the pollution conveying trajectory, the first concentration diffusion simulation result, and the plurality of second concentration diffusion simulation results specifically includes: determining the track direction and the influence degree of concentration diffusion of the sudden major pollution event according to the pollution conveying track and the first concentration diffusion simulation result; comparing the plurality of second concentration diffusion simulation results to generate comparative analysis information; and generating emergency treatment information of the sudden major pollution event according to the concentration diffusion track direction, the influence degree and the comparative analysis information.

In the technical scheme, the track direction of the diffusion from the generation position area to the periphery is rapidly determined according to the analysis of the pollution conveying track and the first concentration diffusion simulation result, and the influence degree of the diffused pollution concentration value on the periphery, comparing a plurality of second concentration diffusion simulation results generated by simulation drills with different pollution release rates, judging whether the treatment effect corresponding to the different pollution release rates can reach the expected effect, generating comparative analysis information, generating emergency treatment information of the sudden major pollution incident according to the trace direction, the influence degree and the comparative analysis information of the concentration diffusion, providing auxiliary decision support for data management and emergency response plans of the sudden major pollution incident, the decision maker can quickly and effectively make emergency action according to the emergency processing information, and effectiveness and reliability of early warning and emergency disposal of the sudden major pollution event are improved.

According to the second aspect of the present invention, there is also provided an emergency command aid decision system for emergency major pollution incidents, including: a memory storing a program or instructions; and the processor is connected with the memory and is configured to implement the emergency command assistant decision-making method for the sudden serious pollution event provided by the first aspect when executing the program or the instructions. Therefore, the emergency command assistant decision-making system for the emergency severe pollution incident has all the beneficial effects of the emergency command assistant decision-making method for the emergency severe pollution incident provided by the first aspect, and details are not repeated herein.

According to a third aspect of the present invention, a readable storage medium is provided, on which a program or instructions are stored, which when executed by a processor, performs the emergency command aid decision method of the emergency major pollution incident proposed in the first aspect. Therefore, the readable storage medium has all the beneficial effects of the emergency command assistant decision-making method for the sudden and serious pollution event provided by the first aspect, and redundant description is omitted for avoiding repetition.

Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:

fig. 1 is a flow chart of an emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

fig. 2 is a second flow chart of an emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

fig. 3 is a third flow chart of an emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

fig. 4 shows a fourth flow chart of the emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

fig. 5 shows a fifth flow chart of the emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

fig. 6 shows a sixth schematic flow chart of an emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

fig. 7 shows a seventh flow chart of an emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

fig. 8 is a flow chart of an emergency command aid decision method for emergency major pollution incidents according to an embodiment of the invention;

FIG. 9 is a schematic illustration of a contamination transport trajectory in accordance with an embodiment of the present invention;

FIG. 10 shows one of the contaminant concentration diffusion diagrams of one embodiment of the present invention;

FIG. 11 is a second schematic diagram illustrating the diffusion of contaminant concentration according to an embodiment of the present invention;

FIG. 12 is a third schematic diagram illustrating the diffusion of contaminant concentration according to an embodiment of the present invention;

fig. 13 is a schematic block diagram of an emergency command aid decision system for emergency major pollution incidents according to the invention.

Wherein, the correspondence between the reference numbers and the names of the components in fig. 13 is:

1300 emergency command aid decision system, 1302 memory, 1304 processor for sudden major pollution event.

Detailed Description

In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.

Emergency command aid decision-making methods for emergency command of major pollution incidents, emergency command aid decision-making systems for emergency command of major pollution incidents and readable storage media according to some embodiments of the invention are described below with reference to fig. 1 to 13.

Example 1:

as shown in fig. 1, according to an embodiment of the present invention, an emergency command aid decision method for emergency major pollution incident is provided, which includes:

step 102, predicting future meteorological data of an emergent major pollution event occurrence position area;

104, calculating a pollution conveying track of the sudden major pollution event according to future meteorological data;

106, determining a digestion factor of the pollution on the pollution conveying track according to the future meteorological data;

step 108, collecting a concentration monitoring value of a target area on the pollution conveying track according to the pollution conveying track;

step 110, reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

112, performing concentration diffusion simulation of the sudden major pollution event according to future meteorological data and pollution release rate to generate a concentration diffusion simulation result;

and step 114, generating emergency treatment information of the sudden major pollution event according to the pollution conveying track and the concentration diffusion simulation result.

In the embodiment, when the sudden major pollution incident occurs, the future meteorological data of the occurrence position area of the sudden major pollution incident is predicted, the predicted future meteorological data is analyzed and utilized, and the future conveying track of the pollution and the resolution factor of the pollution on the conveying track are calculated; the concentration monitoring value in the target area of the pollution conveying track can be obtained in real time according to the calculated pollution conveying track, the pollution release rate of the generation position area can be reversely deduced according to future meteorological data and the concentration monitoring value, the pollution concentration diffusion simulation can be carried out by combining a meteorological field after the pollution release rate is obtained, a concentration diffusion simulation result is generated, and an emergency treatment plan of a major emergency is generated according to the calculated pollution conveying track and the concentration diffusion simulation result. By simulating and analyzing the diffusion of the pollution concentration of the sudden major pollution event, corresponding emergency treatment information can be quickly and accurately obtained, and emergency auxiliary decision support is provided for a decision maker, so that the decision maker can make corresponding emergency command actions according to the emergency treatment information, insufficient response or response transition after the sudden major pollution event occurs is avoided, and quick and scientific dynamic emergency early warning and decision support for the sudden major pollution event is realized.

Further, the contamination release rate was calculated by the following formula:

q represents the release rate of the contamination from the site area where the sudden major contamination event occurred, M represents the concentration monitoring value of the target area on the contamination transport trajectory, and D represents the digestion factor on the contamination transport trajectory. The pollution release rate of the emergency major pollution event occurrence position area is reversely deduced according to the pollution concentration value and the pollution digestion factor, so that when the pollution event occurs, detection personnel are difficult to approach the occurrence position area, accident information is lost, the pollution release rate cannot be accurately measured, the data blind area is effectively reduced, the omnibearing pollution event data acquisition is realized to the maximum extent, and preliminary information support is provided for emergency treatment commanding and decision making.

Example 2:

as shown in fig. 2, according to an embodiment of the present invention, an emergency command aid decision method for emergency major pollution incident is provided, which includes:

step 202, acquiring geographic information data of an emergent major pollution event occurrence position area and global forecast field data of a global forecast system;

step 204, predicting a meteorological field of the position area of the sudden major pollution event within a first preset time according to the geographic information data and the global forecast field data;

step 206, predicting future meteorological data of the emergent major pollution event occurrence position area within a first preset time length by using a meteorological forecast model according to the meteorological field;

step 208, calculating a pollution conveying track of the sudden major pollution incident according to future meteorological data;

step 210, determining a digestion factor of pollution on a pollution conveying track according to future meteorological data;

step 212, collecting a concentration monitoring value of a target area on a pollution conveying track according to the pollution conveying track;

step 214, reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

step 216, performing concentration diffusion simulation of the sudden major pollution event according to future meteorological data and pollution release rate to generate a concentration diffusion simulation result;

and step 218, generating emergency treatment information of the sudden major pollution event according to the pollution conveying track and the concentration diffusion simulation result.

In this embodiment, when a major sudden pollution event occurs, a weather field of a local area of a location area where the major sudden pollution event occurs within a first preset duration is quickly predicted by using a WRF according to acquired geographic information data and Global Forecast field data of a GFS (Global Forecast System). And predicting future meteorological data of the emergent major pollution event occurrence position area within a first preset time length by using WRF according to the meteorological field obtained by prediction. When an emergent major pollution event occurs, meteorological data in a future period of time are predicted quickly, so that preliminary information support is provided for emergency treatment command decisions in time.

Furthermore, according to meteorological data, such as wind speed, wind direction, humidity and pressure intensity, of the occurrence position area of the sudden and serious pollution event observed in real time by the meteorological station, the simulated meteorological field for hours in the future is subjected to difference correction, and then the WRF is used for predicting the meteorological data in the future, so that the predicted meteorological data in the future can better accord with the real situation.

In a specific embodiment, the terrain data of the pollution event occurrence position area and the current meteorological data are input into a meteorological prediction model, and a meteorological field of the pollution event occurrence position area for 12 hours in the future is simulated rapidly. In addition, in order to improve the accuracy of the predicted meteorological field, an assimilation system is adopted to carry out 1-hour rapid updating assimilation forecast, and the accuracy of the generated future meteorological data is further improved.

Example 3:

as shown in fig. 3, according to an embodiment of the present invention, an emergency command aid decision method for emergency major pollution incident is provided, which includes:

step 302, acquiring geographic information data of an emergent major pollution event occurrence position area and global forecast field data of a global forecast system;

step 304, predicting a meteorological field of the position area of the sudden major pollution event within a first preset time according to the geographic information data and the global forecast field data;

step 306, predicting future meteorological data of the emergent major pollution event occurrence position area within a first preset time length by using a meteorological forecast model according to the meteorological field;

step 308, calculating a pollution conveying track of the sudden major pollution event within a second preset time length by using a Lagrange atmospheric diffusion model according to future meteorological data;

step 310, determining a digestion factor of the pollution on the pollution conveying track according to future meteorological data;

step 312, collecting a concentration monitoring value of a target area on the pollution conveying track according to the pollution conveying track;

step 314, reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

step 316, performing concentration diffusion simulation of the sudden major pollution event according to future meteorological data and pollution release rate to generate a concentration diffusion simulation result;

and step 318, generating emergency treatment information of the sudden major pollution event according to the pollution conveying track and the concentration diffusion simulation result.

In this embodiment, after determining the meteorological field of the future several hours in the occurrence location area of the sudden heavy pollution event, the pollution transport Trajectory of the sudden heavy pollution event is calculated by using a Hybrid Single-Particle Lagrangian Integrated transport model (lagrange atmospheric diffusion model) with a second preset time length as a resolution according to the meteorological field data. After a major pollution event occurs, the future conveying track of pollution is calculated by quickly predicting meteorological data of a period of time in the future, so that effective early warning of the sudden major pollution event is realized, and the harm caused by the sudden major pollution event is greatly reduced.

In a specific embodiment, the contaminated transportation track is visually displayed in combination with a GIS map, and on the GIS map of the transportation track, as shown in fig. 9, a decision maker can arbitrarily zoom in and out the map so as to achieve more precise positioning and global overview.

Example 4:

as shown in fig. 4, according to an embodiment of the present invention, an emergency command aid decision method for emergency major pollution incident is provided, which includes:

step 402, predicting future meteorological data of an emergent major pollution event occurrence position area;

step 404, calculating a pollution conveying track of the sudden major pollution incident according to future meteorological data;

step 406, detecting whether a target area is provided with concentration monitoring equipment, if so, entering step 408, and if not, entering step 410;

step 408, concentration monitoring equipment is arranged on the basis of the target area, and concentration monitoring values are collected by the concentration monitoring equipment;

step 410, based on that the target area has no concentration monitoring device, obtaining the position information of the target area, controlling the mobile device to move to the target area, and collecting a concentration monitoring value by using the mobile device;

step 412, reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

step 414, performing concentration diffusion simulation of the sudden major pollution event according to the future meteorological data and the pollution release rate to generate a concentration diffusion simulation result;

and step 416, generating emergency treatment information of the sudden major pollution event according to the pollution conveying track and the concentration diffusion simulation result.

In the embodiment, after simulating a pollution conveying track of a sudden major pollution event, detecting whether concentration monitoring equipment is arranged in a target area where the pollution conveying track is located, and if the concentration monitoring equipment is arranged in the target area, monitoring and acquiring a concentration monitoring value in the target area in real time through the concentration detecting equipment; if no concentration monitoring equipment is detected in the target area, the position information of the target area is determined, the mobile equipment with the concentration monitoring equipment is controlled to reach the designated position, the concentration monitoring equipment on the mobile equipment is used for monitoring and collecting the pollution concentration value in the target area, and then the concentration monitoring value is obtained, so that accurate data collection is carried out on places where special regional airspaces such as culverts, valleys and the like are difficult to reach and terrain is shielded. Through the mode that manual sampling detects and equipment on-line measuring combined together, carry out multisource data fusion, reduce the data acquisition blind area, all-round data acquisition is accomplished to the maximize, improves the accuracy and the real-time of data.

In a specific embodiment, if it is detected that no concentration monitoring device is located in a target area where a pollution conveying track is located, sending an unmanned aerial vehicle carrying the concentration monitoring device to fly to the area where the specified track is located for real-time pollution concentration detection, and returning the collected concentration monitoring value in real time. Further, in order to determine the pollution conveying track and the concentration monitoring value at the fastest speed, a future conveying track of the pollution can be preliminarily determined according to the area of the pollution event occurrence position and the wind direction and the wind speed when the pollution event occurs, and the concentration monitoring value of the area of the preliminary pollution conveying track is collected. Comparing the predicted wind direction and wind speed obtained by calculation of the meteorological prediction model with the wind direction and wind speed when the pollution event occurs, and if the comparison result is similar, adopting the concentration monitoring value of the primary pollution conveying track area; otherwise, the concentration monitoring value of the target area is collected again according to the pollution conveying track predicted by the meteorological prediction model, and the collection efficiency of the data of the sudden major pollution events is effectively improved.

Example 5:

as shown in fig. 5, according to an embodiment of the present invention, an emergency command aid decision method for emergency major pollution incident is provided, which includes:

step 502, predicting future meteorological data of an emergent major pollution event occurrence position area;

step 504, calculating a pollution conveying track of the sudden major pollution incident according to future meteorological data;

step 506, determining a digestion factor of the pollution on the pollution conveying track according to the future meteorological data;

step 508, collecting a concentration monitoring value of a target area on the pollution conveying track according to the pollution conveying track;

step 510, reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

step 512, performing concentration diffusion simulation of the sudden major pollution event according to future meteorological data and pollution release rate to generate a first concentration diffusion simulation result;

step 514, determining a plurality of preset pollution release rates according to future meteorological data;

516, performing pollution concentration diffusion simulation according to a preset pollution release rate to generate a plurality of second concentration diffusion simulation results;

and 518, generating emergency treatment information of the sudden serious pollution event according to the pollution conveying track and the concentration diffusion simulation result.

In the embodiment, according to predicted future meteorological data and calculated pollution release rate, HYSPLIT is used for pollution concentration diffusion simulation, pollution concentration values in various areas in the pollution diffusion process are determined, a first concentration diffusion simulation result is generated, emergency decision support is timely and scientifically provided for a decision maker, the decision maker can conveniently obtain a better emergency scheme according to the first concentration diffusion simulation result, and the accuracy and the scientificity of handling of sudden major pollution events are improved.

Furthermore, the first concentration diffusion simulation result is visually displayed in a mode of combining pollution concentration diffusion with a GIS map, different colors are given according to the concentration value, a potential risk area is determined according to the depth of the color of the area, when a decision maker selects a certain point of the diffusion area, a display page can automatically display the pollution concentration value of the area, and the decision maker can conveniently quantify the influence.

It is understood that the simulation drilling is performed by using different pollution release rates, for example, the simulation drilling is performed by using two measures of controlling the pollution release rate to be 10g/hr and controlling the pollution release rate to be 5g/hr, and the HYSPLIT model is used for simulating two pollution concentration diffusion results. As shown in fig. 11 and 12, the diffusion results of different pollution concentrations are visually displayed in a manner of combining the diffusion of the pollution concentrations with a GIS map, so that a decision maker can clearly see the diffusion effect of the pollution concentrations under the situation that different measures control the pollution release rate, and the decision maker can conveniently make an emergency action according to the comparison result.

In a specific embodiment, the generated first concentration diffusion simulation result is combined with a map system with geographic information to perform visual display, as shown in fig. 10, when a user selects a certain point in a diffusion area, a display page automatically displays a pollution concentration value of the selected area, so that the user can clearly and intuitively see a diffusion range and concentration distribution, and the user can conveniently quantify influences.

Example 6:

as shown in fig. 6, according to an embodiment of the present invention, an emergency command aid decision method for emergency major pollution incident is provided, which includes:

step 602, predicting future meteorological data of an emergent major pollution event occurrence position area;

step 604, calculating a pollution conveying track of the sudden major pollution event according to future meteorological data;

step 606, determining a digestion factor of the pollution on the pollution conveying track according to the future meteorological data;

step 608, collecting a concentration monitoring value of a target area on the pollution conveying track according to the pollution conveying track;

step 610, reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

step 612, performing concentration diffusion simulation of the sudden major pollution event according to the future meteorological data and the pollution release rate to generate a first concentration diffusion simulation result;

step 614, determining a plurality of preset pollution release rates according to future meteorological data;

step 616, according to the preset pollution release rate, carrying out pollution concentration diffusion simulation to generate a plurality of second concentration diffusion simulation results;

and step 618, generating emergency treatment information of the sudden major pollution incident according to the pollution conveying track, the first concentration diffusion simulation result and the plurality of second concentration diffusion simulation results.

In the embodiment, according to the pollution conveying track of the sudden heavy pollution event, the first concentration diffusion simulation result generated by pollution concentration diffusion simulation and the second concentration diffusion simulation result generated by simulation drilling with different pollution release rates, emergency processing information for handling the sudden heavy pollution event is timely and scientifically provided for a decision maker, so that the decision maker can conveniently analyze the current comprehensive situation in the shortest time, make reasonable command action, and reduce the harm caused by the sudden heavy pollution event.

Example 7:

as shown in fig. 7, according to an embodiment of the present invention, an emergency command aid decision method for emergency major pollution incident is provided, which includes:

step 702, predicting future meteorological data of an emergent major pollution event occurrence position area;

step 704, calculating a pollution conveying track of the sudden major pollution event according to future meteorological data;

step 706, determining a digestion factor of the pollution on the pollution conveying track according to the future meteorological data;

step 708, collecting a concentration monitoring value of a target area on the pollution conveying track according to the pollution conveying track;

step 710, reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

step 712, performing concentration diffusion simulation of the sudden major pollution event according to the future meteorological data and the pollution release rate to generate a first concentration diffusion simulation result;

714, determining a plurality of preset pollution release rates according to future meteorological data;

716, performing pollution concentration diffusion simulation according to a preset pollution release rate to generate a plurality of second concentration diffusion simulation results;

step 718, determining the trajectory direction and the influence degree of concentration diffusion of the sudden major pollution event according to the pollution conveying trajectory and the first concentration diffusion simulation result;

step 720, comparing the plurality of second concentration diffusion simulation results to generate comparative analysis information;

and step 722, generating emergency treatment information of the sudden major pollution event according to the concentration diffusion track direction, the influence degree and the comparative analysis information.

In this embodiment, the direction of the trajectory from the occurrence location area to the peripheral diffusion is quickly determined based on the analysis of the contamination transport trajectory and the first concentration diffusion simulation result, and the influence degree of the diffused pollution concentration value on the periphery, comparing a plurality of second concentration diffusion simulation results generated by simulation drills with different pollution release rates, judging whether the treatment effect corresponding to the different pollution release rates can reach the expected effect, generating comparative analysis information, generating emergency treatment information of the sudden major pollution incident according to the trace direction, the influence degree and the comparative analysis information of the concentration diffusion, providing auxiliary decision support for data management and emergency response plans of the sudden major pollution incident, the decision maker can quickly and effectively make emergency action according to the emergency processing information, and effectiveness and reliability of early warning and emergency disposal of the sudden major pollution event are improved.

Example 8:

as shown in fig. 8, according to an embodiment of the present invention, an emergency command aided decision method for emergency major pollution incidents is provided, the method includes:

step 802, predicting a meteorological field within a first preset time length by using WRF;

step 804, simulating a pollution conveying track and a pollution digestion factor by using HYSPLIT;

step 806, judging whether a monitoring station exists in the polluted conveying track area, if so, entering step 808, and if not, entering step 810;

step 808, collecting the monitored concentration value in real time;

step 810, controlling the mobile equipment to go to collect a real-time concentration value;

step 812, calculating the pollution release rate of the position area where the sudden major pollution event occurs according to the pollution digestion factor and the real-time monitoring concentration value of the pollution conveying track;

step 814, simulating a pollution concentration value on the track by using HYSPLIT according to the meteorological field and the pollution release rate, and performing visual display;

step 816, generating the change of the pollution concentration diffusion result according to the plurality of pollution release amounts and the pollution release rates, and performing visual comparison and display;

and 818, assisting decision-making command according to the pollution conveying track and the concentration diffusion result.

In the embodiment, when a significant pollution event occurs at a certain point, the WRF is used for quickly predicting the meteorological field of the pollution occurring location area within the next several hours, and difference correction is carried out on the meteorological data predicted by the WRF according to real-time observed meteorological data. And calculating the conveying track of the pollution event and a resolution factor of the pollution on the conveying track by using HYSPLIT with half an hour as resolution according to the corrected meteorological field.

Further, according to the calculated pollution conveying track, checking whether concentration monitoring equipment exists in a target area where the conveying track is located, and if so, monitoring in real time and remotely reading a pollution concentration value of the pollution monitoring equipment; otherwise, sending the unmanned aerial vehicle carrying the concentration monitoring equipment to fly to a target area where the specified conveying track is located to carry out real-time pollution concentration detection, and transmitting the detected concentration value back in real time.

Further, according to the digestion factor of the pollution in the atmospheric transmission and the concentration value of the pollution area measured in real time, calculating the pollution release rate of the area at the position where the pollution event occurs by using the following formula:

q is a pollution release rate of the area where the pollution event occurs, M is a pollution concentration value on the pollution transport trajectory, and D is a digestion factor on the pollution transport trajectory.

Preferably, to improve the accuracy of the contaminant release rate calculation: and for different conveying tracks and different monitoring concentration values at the same time, obtaining a plurality of pollution release rates by adopting a formula, and carrying out average treatment on the plurality of pollution release rates to obtain the final weighted average pollution release rate.

Further, according to the determined meteorological field and pollution release rate, HYSPLIT is used for carrying out pollution concentration diffusion simulation and visual display. And simultaneously, simulating the pollution concentration diffusion result under the conditions of different discharge amounts and release rates, and carrying out comparative analysis and visual display.

Furthermore, by utilizing the calculated conveying track and concentration diffusion simulation result, the track direction of the pollution diffusing to the periphery and the influence degree condition on the periphery can be rapidly determined, and the effect after corresponding measures are adopted in the drilling can be simulated through the concentration diffusion comparison result under the situations of different discharge amount and pollution release rate, so that a decision maker is assisted to make corresponding emergency command action.

Furthermore, the emergency command assistant decision system for the sudden major pollution incident comprises six modules of meteorological prediction, pollution concentration acquisition, pollution release rate calculation, diffusion simulation, simulation drilling and assistant decision. The weather forecasting module carries out weather forecasting by using WRF, and utilizes conventional observation, a ground station, a satellite, a wind profile, a drop sonde, ship observation data, automatic station and foundation positioning water-reducing amount observation data of an accident area, conventional weather observation, airport ground report, a buoy, an automatic station, airplane report, radar reflectivity, FY-2E (weather satellite), infrared and visible light reflectivity and other data to carry out assimilation and updating of forecast.

Further, the pollution concentration acquisition module is used for calculating a pollution conveying track according to meteorological data obtained by the meteorological prediction module, judging whether concentration monitoring equipment exists in a target area where the conveying track is located, and if so, monitoring and acquiring a pollution concentration value in real time; otherwise, sending the unmanned aerial vehicle carrying the concentration monitoring equipment to fly to a specified target area for real-time pollution concentration detection, and returning the detected pollution concentration value in real time.

Further, the pollution release rate calculation module calculates a digestion factor of the pollution in atmospheric transportation by using HYSPLIT, and further estimates the pollution release rate at the event occurrence point according to the obtained pollution concentration value of the transportation track:

further, the diffusion simulation module performs pollution concentration diffusion simulation by using HYSPLIT according to the meteorological data obtained by the meteorological prediction module and the release rate obtained by the pollution release rate calculation module, and performs visual display. The simulation drilling module inputs different discharge amounts and release rates, utilizes HYSPLIT to simulate the pollution concentration diffusion results under different situations, and carries out comparative analysis and visual display. And the auxiliary decision module intelligently matches the emergency command case base according to the pollution diffusion simulation and simulation exercise results, and finds out the optimal emergency scheme for the decision maker to refer to.

Specifically, if an explosion occurs in a place to cause dangerous gas leakage, the terrain data (terrain, soil surface and soil type) of the accident and the current meteorological element field (the reanalysis data is downloaded from the national atmospheric data center of the United states as an initial meteorological field) are input into a meteorological prediction model, and the meteorological data of the accident point for the future 12 hours are rapidly simulated. And calculating a future conveying track of the pollution and a digestion factor of the pollution on the conveying track by using HYSPLIT with half an hour as resolution according to the obtained meteorological data. The contaminated future delivery trajectory is visualized by combining with a positioning map, as shown in fig. 10, and the user can arbitrarily zoom in and out on the map for more precise positioning and global overview.

Preferably, when WRF selection is carried out, the invention designs a WRF case base in advance according to the accident type, and when the accident happens, the corresponding mode case base is automatically matched according to the accident type. If the mode adopts a triple nesting scheme aiming at the dangerous gas leakage accident caused by explosion, the horizontal grid distances from outside to inside are 27km, 9km and 3km in sequence, and the number of the horizontal grid points is 201 multiplied by 171, 283 multiplied by 193 and 181 multiplied by 148; the simulation used a lambert orthomorphic projection. The main physical process parameterization schemes of the modes adopt WSM5 (micro physical process parameterization scheme), Dudhia (short wave radiation scheme) and RRTM (long wave parameterization scheme), YSU (planetary boundary layer parameterization scheme), Noah (land process parameterization scheme) and Monin-Obukhov (near formation turbulence parameterization scheme), the first and second layers of nested areas adopt KainFritsch (cumulus convection parameterization scheme), and the innermost area does not adopt a convection parameterization scheme because the grid distance is less than 5 km.

Furthermore, in order to improve The accuracy of Weather forecast by The WRF, an Assimilation system WRFDA (The Weather Research and Forecasting Mode Data Assimilation) is adopted to perform rapid 1-hour Assimilation forecast. The assimilated data comprise conventional observation, ground station, satellite, wind profile, lower-throwing sonde, ship observation data, automatic station and foundation water-reducing amount observation data of accident area, conventional weather observation, airport ground report, buoy, automatic station, airplane report, radar reflectivity and FY-2E, infrared and visible light radiation rate and other data.

Furthermore, interpolation correction is carried out on the meteorological data predicted by the WRF according to the meteorological data (such as wind speed, wind direction, humidity, pressure and the like) observed by the meteorological station in real time.

Furthermore, in order to determine the pollution conveying track and obtain the pollution concentration value at the fastest speed, the future conveying track of the pollution can be preliminarily determined according to the wind direction and the wind speed of the accident site and the accident occurrence time, and then the pollution concentration value of the area of the preliminary conveying track is collected in a remote reading mode. If the wind speed and wind speed predicted by the WRF are similar to the wind direction and wind speed when an accident occurs, adopting the pollution concentration value of the primary conveying track area; otherwise, the pollution concentration value is collected again according to the predicted pollution conveying track.

Further, according to meteorological data and pollution release rate, HYSPLIT is used for carrying out pollution concentration diffusion simulation and visual display. The diffusion of the pollution concentration is visually displayed by combining with a GIS map, as shown in fig. 11, when a user places a mouse at a certain point of a diffusion area, a display page can automatically display the pollution concentration value of the area, so that a decision maker can conveniently quantify the influence.

Further, the locus of a mass point in HYSPLIT is assumed to move with the wind field, and the locus is the integral of the mass point in space and time. The vector velocity of the position of the particle is obtained by linear interpolation in time and space, and the specific calculation formula is as follows:

P'(t+Δt)＝P(t)+V(P,t)×Δt

P(t+Δt)＝P(t)+0.5×[V(P,t)+V(P',t+Δt)]×Δt，

wherein P (t) is the position at time t, V (P, t) is the velocity of the particle at point P (t), Δ t is the time step, and the position P (t + Δ t) at the specified point at the next time is obtained by the product of the average velocity at the previous time and the velocity at the point at which the first guess is averaged and the time step.

In addition, the diffusion equation for particles and smoke clusters in the concentration diffusion calculation based on HYSPLIT is:

wherein, c is the concentration of the contaminant; u, v and w are wind speeds in different directions; k is a radical of_hIs the diffusion coefficient sum k in the horizontal direction_vDiffusion coefficient in the vertical direction; z is the terrain height in the vertical direction; s is the source of the contaminant and R is the sink of the contaminant. When calculating the concentration, it is assumed that each air mass has a certain distribution (Top-hat type). The mass contribution of each mass to the stationary grid point is:

Δc＝M×(πr²Δz)^-1，

wherein M is the mass of the air mass; r is the horizontal radius of the smoke mass and Δ z is the vertical height of the smoke mass; r 1.54k_h，Δz＝3.08k_v(ii) a The contaminant concentration field may be accumulated from the mass contribution of all the air masses falling within a space grid point at each time step to that point.

Further, on the premise of different emission and release rates, HYSPLIT is used for simulating the pollution concentration diffusion result, and comparative analysis and visual display are carried out. As shown in fig. 11 and 12, a graph comparing the diffusion results of two different contaminant concentrations obtained under the scenario of controlling the release rate of the contaminants by different measures is shown.

Further, by using the calculated pollution conveying track and concentration diffusion simulation result, the track direction of the pollution diffusing to the periphery and the influence degree on the periphery can be rapidly determined. By using the concentration diffusion comparison results under the situations of different discharge amounts and release rates, the effect after corresponding measures are adopted in the drilling can be simulated, and then the decision maker is assisted to make corresponding emergency command actions through the two points.

According to the emergency command auxiliary decision-making method for the sudden major pollution incident, when nuclear pollution leakage or volcanic eruption occurs, related detection personnel are difficult to approach the incident place, so that data such as pollution release rate and emission amount are difficult to accurately detect. According to the invention, the meteorological data is utilized to estimate the digestion factor of pollution in atmospheric delivery, and the concentration data monitored in real time on the diffusion track is utilized to reversely deduce the pollution release rate of an event occurrence point, so that the problem of acquiring the pollution release rate of a major event occurrence position is solved. Furthermore, various observation data are fully utilized to assimilate and update the weather field predicted by WRF, and meanwhile, real-time weather station data are utilized to interpolate the weather prediction result, so that the predicted weather data are more consistent with the real situation. And further, the predicted meteorological data are fully utilized to carry out emergency simulation drilling, and specifically, pollution diffusion results after different measures (controlling pollution release amount and release rate) are adopted by HYSPLIT simulation according to the meteorological data are compared and analyzed.

Example 9:

as shown in fig. 13, according to an embodiment of the second aspect of the present invention, there is provided an emergency command aid decision system 1300, including: a memory 1302, the memory 1302 storing programs or instructions; the processor 1304 is connected to the memory 1302, and the processor 1304 is configured to implement the emergency command aid decision method for emergency serious pollution events proposed in the first aspect when executing a program or an instruction. Therefore, the emergency command assistant decision system 1300 for the emergency significant pollution incident has all the beneficial effects of the emergency command assistant decision method for the emergency significant pollution incident proposed in the first aspect, and is not described in detail again to avoid repetition.

Example 10:

In the present invention, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods of the embodiments of the present application.

In the description herein, the description of the terms "one embodiment," "some embodiments," "specific embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An emergency command aid decision-making method for sudden major pollution events is characterized by comprising the following steps:

predicting future meteorological data of the area of the position where the sudden major pollution event occurs;

calculating the pollution conveying track of the sudden major pollution incident according to the future meteorological data;

determining a digestion factor of the pollution on the pollution conveying track according to the future meteorological data;

collecting a concentration monitoring value of a target area on the pollution conveying track according to the pollution conveying track;

reversely deducing the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value on the pollution conveying track;

performing concentration diffusion simulation of the sudden major pollution event according to the future meteorological data and the pollution release rate to generate a concentration diffusion simulation result;

and generating emergency treatment information of the sudden major pollution event according to the pollution conveying track and the concentration diffusion simulation result.

2. The emergency command assistant decision method for the sudden major pollution incident according to claim 1, wherein the step of predicting the future meteorological data of the area where the sudden major pollution incident occurs specifically comprises:

acquiring geographic information data of the emergent major pollution event occurrence position area and global forecast field data of a global forecast system;

predicting a meteorological field of the emergent major pollution event occurrence position area within a first preset time according to the geographic information data and the global forecast field data;

according to the meteorological field, predicting the future meteorological data of the emergent major pollution event occurrence position area within the first preset time length by using a meteorological forecast model,

and performing difference correction on the meteorological field according to meteorological data observed by a meteorological station in real time, and predicting the future meteorological data according to the corrected meteorological field.

3. The emergency command assistant decision method for the sudden major pollution incident according to claim 2, wherein the step of calculating the pollution transportation trajectory of the sudden major pollution incident according to the future meteorological data specifically comprises:

calculating the pollution conveying track of the sudden major pollution event within a second preset time length by utilizing a Lagrange atmospheric diffusion model according to the future meteorological data,

and the second preset time length is less than the first preset time length.

4. The emergency command assistant decision method for the sudden major pollution incident according to claim 1, wherein the step of collecting the concentration monitoring value of the target area on the pollution delivery trajectory according to the pollution delivery trajectory specifically comprises:

detecting whether the target area is provided with concentration monitoring equipment or not;

the concentration monitoring equipment is arranged on the basis of the target area, and the concentration monitoring value is acquired by the concentration monitoring equipment;

and acquiring the position information of the target area based on the fact that the concentration monitoring equipment is not arranged in the target area, controlling the mobile equipment to move to the target area, and collecting the concentration monitoring value by utilizing the mobile equipment.

5. The emergency command assistant decision method for the sudden major pollution incident according to claim 1, wherein the step of back-deriving the pollution release rate of the pollution according to the digestion factor and the concentration monitoring value specifically comprises:

the fouling release rate is calculated by the following formula:

q represents the pollution release rate of the area where the sudden major pollution event occurs, M represents the concentration monitoring value of the target area on the pollution conveying track, D represents the digestion factor on the pollution conveying track,

the method comprises the steps of collecting concentration monitoring values of a target area, a pollution conveying track and a pollution releasing rate, wherein the concentration monitoring values collected by the target area and the pollution conveying track at the same time can be inversely deduced to obtain a plurality of pollution releasing rates, and the plurality of pollution releasing rates are subjected to weighted average processing to obtain the final pollution releasing rate.

6. The emergency command assistant decision method for the sudden major pollution incident according to claim 1, wherein the step of performing a concentration diffusion simulation of the sudden major pollution incident according to the future meteorological data and the pollution release rate to generate a concentration diffusion simulation result specifically comprises:

performing the concentration diffusion simulation of the sudden major pollution event according to the future meteorological data and the pollution release rate to generate a first concentration diffusion simulation result;

determining a plurality of preset pollution release rates according to the future meteorological data;

performing the pollution concentration diffusion simulation according to the preset pollution release rate to generate a plurality of second concentration diffusion simulation results,

wherein the concentration diffusion simulation result includes the first concentration diffusion simulation result and a plurality of the second diffusion simulation results.

7. The emergency command assistant decision method for the sudden major pollution incident according to claim 6, wherein the step of generating the emergency processing information of the sudden major pollution incident according to the pollution transportation trajectory and the concentration diffusion simulation result specifically comprises:

and generating emergency treatment information of the sudden major pollution event according to the pollution conveying track, the first concentration diffusion simulation result and the plurality of second concentration diffusion simulation results.

8. The emergency command assistant decision method for the sudden major pollution incident according to claim 7, wherein the step of generating the emergency processing information of the sudden major pollution incident according to the pollution transportation trajectory, the first concentration diffusion simulation result and the plurality of second concentration diffusion simulation results specifically comprises:

determining the track direction and the influence degree of concentration diffusion of the sudden major pollution event according to the pollution conveying track and the first concentration diffusion simulation result;

comparing a plurality of second concentration diffusion simulation results to generate comparative analysis information;

and generating emergency treatment information of the sudden major pollution event according to the concentration diffusion track direction, the influence degree and the comparative analysis information.

9. An emergency command aid decision making system for sudden major pollution events, which is characterized by comprising:

a memory storing a program or instructions;

a processor connected to the memory, the processor implementing the emergency command aid decision method according to any one of claims 1 to 8 when executing the program or instructions.

10. A readable storage medium, on which a program or instructions are stored, wherein the program or instructions, when executed by a processor, implement the steps of the emergency command aid decision method for sudden major pollution events according to any one of claims 1 to 8.