Method and system for analyzing regional transmission of atmospheric pollution

Abstract

This application provides a method and system for analyzing regional air pollution transport, relating to the field of environmental monitoring. The method includes: acquiring the air mass source trajectory and a first contribution ratio for a target area within a preset time period, where the first contribution ratio is the contribution ratio of the air mass on each trajectory to the total air mass in the air mass source trajectory; analyzing the region to which each trajectory time point belongs and matching the analyzed pollutant concentration data for each region; and analyzing the regional air pollution transport contribution and transport trajectory of the target area based on the pollutant concentration data on each trajectory and the first contribution ratio. This application can improve the problem of large computational load and long computation time in regional air pollution transport analysis methods, achieving the effect of reducing the computational load and shortening the computation time in regional air pollution transport analysis methods.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of environmental monitoring technology, and in particular, to a method and system for analyzing regional transmission of atmospheric pollution. Background Art

[0002] Regional transmission pollution refers to the situation where pollutants emitted from a region may enter the high altitude with rising air currents under certain special weather conditions, and be quickly transmitted with air masses in the high altitude. As a result, they may fall to the surface near the ground with sinking air masses in another local area far away from the pollution source, leading to the transmission of pollutants between regions. At present, the analysis methods of regional atmospheric pollution transmission generally include analysis methods based on numerical simulation models of atmospheric pollution and analysis methods based on simulation of meteorological air mass trajectories.

[0003] In the process of implementing the present invention, the inventors found that the single operation in the regional air pollution regional transmission analysis method has a large amount of calculation and is time-consuming. Summary of the invention

[0004] The embodiments of the present application provide a method and system for analyzing regional transmission of atmospheric pollution, which can improve the problem of large amount of calculation and long time consumption in a single operation in the method for analyzing regional transmission of atmospheric pollution.

[0005] In a first aspect of the present application, a method for analyzing regional transmission of atmospheric pollution is provided, comprising:

[0006] Within a preset time period, obtaining the air mass source trajectory and a first contribution ratio of the target area, where the first contribution ratio is the contribution ratio of the air mass in each trajectory to the total air mass in the air mass source trajectory;

[0007] Analyze the area to which each track time point on each track belongs, and match the analyzed pollutant concentration data of each area;

[0008] According to the pollutant concentration data on each trajectory and the first contribution ratio, the regional transmission contribution and transmission trajectory of the atmospheric pollution in the target area are analyzed.

[0009] By adopting the above technical scheme, in the atmospheric pollution regional transmission analysis method provided in the embodiment of the present application, within a preset time period, the air mass source trajectory and the first contribution ratio of the target area are obtained, and the first contribution ratio is the contribution ratio of the air mass of each trajectory to the total air mass in the air mass source trajectory; the area to which each trajectory time point belongs is analyzed, and the pollutant concentration data of each area is matched; then, according to the pollutant concentration data on each trajectory and the first contribution ratio, the atmospheric pollution regional transmission contribution and the transmission trajectory of the target area are analyzed; the problem of large single operation calculation amount and long time consumption in the regional atmospheric pollution regional transmission analysis method can be improved, so as to reduce the single operation calculation amount in the regional atmospheric pollution regional transmission analysis method and shorten the calculation time.

[0010] In a possible implementation, analyzing the atmospheric pollution regional transmission contribution and transmission trajectory of the target area according to the pollutant concentration data and the first contribution ratio on each trajectory includes:

[0011] Calculate a second contribution ratio according to the pollutant concentration data on each trajectory, where the second contribution ratio is the percentage of contribution of each area on each trajectory to the atmospheric pollution concentration of the target area;

[0012] Calculating a third contribution ratio according to the first contribution ratio and the second contribution ratio, wherein the third contribution ratio is a percentage of pollution transmission contribution of each analyzed area to the target area;

[0013] According to the third contribution ratio, the atmospheric pollution area transmission contribution and transmission trajectory of the target area are analyzed.

[0014] In a possible implementation, calculating the second contribution ratio according to the pollutant concentration data on each trajectory includes:

[0015] Calculate the mean of the pollutant concentration data according to the pollutant concentration data on each trajectory;

[0016] According to the mean, calculating the contribution and total contribution of each area on each trajectory to the pollution concentration value of the target area;

[0017] The second contribution ratio is calculated according to the contribution and the total contribution.

[0018] In a possible implementation manner, calculating a third contribution ratio according to the first contribution ratio and the second contribution ratio includes:

[0019] The third contribution ratio is calculated according to the first contribution ratio and the second contribution ratio by a weighted algorithm.

[0020] In a possible implementation, obtaining the air mass source trajectory and the first contribution ratio in the target area includes:

[0021] Acquiring regional air quality monitoring data, wherein the air quality monitoring data includes historical air quality monitoring data or predicted air quality monitoring data;

[0022] According to the air quality monitoring data, based on the backward trajectory model, through aggregation analysis, the air mass source trajectory of the target area and the first contribution ratio are obtained.

[0023] In a possible implementation, analyzing the region to which each track time point on each track belongs, and matching the analyzed pollutant concentration data of each region, includes:

[0024] Obtain the latitude and longitude of each area and the time when the air mass passes;

[0025] According to the longitude and latitude and the time, based on the backward trajectory model, through aggregation analysis, the area to which each trajectory time point belongs on each trajectory is analyzed, and the pollutant concentration data of each area obtained by the analysis is matched.

[0026] In a possible implementation, the method further includes:

[0027] Based on the geographic information system, the regional transmission contribution and transmission trajectory of atmospheric pollution in the target area are drawn.

[0028] In a second aspect of the present application, there is provided an atmospheric pollution regional transmission analysis system, comprising:

[0029] An acquisition module, used to acquire the air mass source trajectory and a first contribution ratio of the target area within a preset time period, wherein the first contribution ratio is a contribution ratio of the air mass of each trajectory to the total air mass in the air mass source trajectory;

[0030] A matching module, used to analyze the area to which each track time point belongs on each track, and match the analyzed pollutant concentration data of each area;

[0031] The analysis module is used to analyze the atmospheric pollution area transmission contribution and transmission trajectory of the target area according to the pollutant concentration data and the first contribution ratio on each trajectory.

[0032] In a third aspect of the present application, an electronic device is provided, which includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method described above is implemented.

[0033] In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method are implemented.

[0034] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0036] Figure 1 A flow chart of the atmospheric pollution regional transmission analysis method in an embodiment of the present application is shown.

[0037] Figure 2 A schematic diagram of pollutant transmission contribution analysis in City C during a certain period of time is shown.

[0038] Figure 3 A structural diagram of the atmospheric pollution area transmission analysis system in an embodiment of the present application is shown.

[0039] Figure 4 A schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present application is shown. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0041] The air pollution area transmission analysis method provided in the embodiment of the present application can be applied to the field of environmental monitoring technology. In some embodiments, the air pollution area transmission analysis method can be executed by an electronic device.

[0042] In the regional air pollution transmission analysis method, that is, the analysis method based on the numerical simulation model of air pollution, an accurate list of pollution sources and a high-performance computing cluster are required. It generally takes four to six hours to run, and can predict the hourly forecast results and pollution sources for each hour for the next three days. However, based on this analysis method, it can be seen that the required data is difficult to obtain, the data update timeliness is poor, and more computing resources are required. In addition, if this method does not have an accurate data source, the analysis result error is large, and it cannot be targeted at small-scale areas such as counties, nor can it be used to analyze the actual historical pollution process.

[0043] At the same time, in another regional atmospheric pollution transmission analysis method, that is, the meteorological air mass trajectory simulation analysis method, meteorological forecast data is required to display the transmission trajectory of polluted air masses. However, based on this analysis method, it can only explain the transmission trajectory of air masses, and cannot explain the contribution of different regional counties around the target to the concentration of atmospheric pollutants in the target area.

[0044] In summary, in the regional air pollution transmission analysis method, there are problems such as difficulty in data acquisition and large amount of word operations and calculations. In view of the above problems, the embodiment of the present application provides an air pollution regional transmission analysis method.

[0045] Figure 1 The flow chart of the atmospheric pollution regional transmission analysis method in the embodiment of the present application is shown. Figure 1 In this embodiment, the air pollution regional transmission analysis method includes:

[0046] Step 101: within a preset time period, obtain the air mass source trajectory and the first contribution ratio of the target area, where the first contribution ratio is the contribution ratio of the air mass in each trajectory to the total air masses in the air mass source trajectory.

[0047] Step 102: Analyze the area to which each track time point belongs on each track, and match the analyzed pollutant concentration data of each area.

[0048] Step 103: Analyze the regional transmission contribution and transmission trajectory of the atmospheric pollution in the target area according to the pollutant concentration data and the first contribution ratio on each trajectory.

[0049] By adopting the above technical scheme, in the atmospheric pollution regional transmission analysis method provided in the embodiment of the present application, within a preset time period, the air mass source trajectory and the first contribution ratio of the target area are obtained, and the first contribution ratio is the contribution ratio of the air mass in each trajectory to the total air mass in the air mass source trajectory; the area to which each trajectory time point belongs is analyzed, and the pollutant concentration data of each area analyzed is matched; then, according to the pollutant concentration data on each trajectory and the first contribution ratio, the atmospheric pollution regional transmission contribution and the transmission trajectory of the target area are analyzed; in summary, it can be seen that direct calculation based on the air mass transmission amount and the atmospheric pollution concentration amount does not involve complex chemical change processes, and the amount of calculation can be greatly reduced, from a high-performance computing cluster to a conventional server, which can improve the problem of large single calculation amount and long time consumption in the regional atmospheric pollution regional transmission analysis method, and achieve the effect of reducing the single calculation amount in the regional atmospheric pollution regional transmission analysis method and shortening the calculation time.

[0050] In step 101, the preset time period can be set manually according to the research needs and research directions. The preset time period can also be set according to the research objectives and the atmospheric pollution regional transmission analysis system based on past experience data. For example, to predict the hourly prediction results and pollution sources for each hour for the next three days, the preset time period is each hour in the next three days.

[0051] Among them, according to the research needs, the method of obtaining data can also be set within a preset time period. For example, if the real-time detailed data of the air pollution area transmission process is studied, it is necessary to obtain data in real time every hour without interruption; if the general data of the air pollution area transmission process is studied, data is obtained once at any time point in each hour; or multiple data are obtained in each hour, and the data is processed by the average value algorithm to obtain the average value of the data, so as to increase the accuracy of the data.

[0052] In an embodiment of the present application, the target area is the area to be analyzed, that is, the area where polluted weather occurs, which can be divided into counties, urban areas, provinces or countries according to the scope. The air mass source trajectory refers to the actual path of the air micro-groups that reach the target area in the atmosphere for the target area. The air mass source trajectories of the target area include multiple air mass source trajectories. The first contribution ratio is the contribution ratio of the regional transmission contribution of the air mass on each trajectory in the air mass source trajectory of the target area to the regional transmission contribution of the total air mass in the air mass source trajectory of the target area.

[0053] In an embodiment of the present application, the air mass source trajectory and the first contribution ratio of the target area can be obtained based on the air mass backward trajectory model analysis and the fitting analysis of the air quality monitoring data. Specifically, the air mass source trajectory and the first contribution ratio are obtained based on the air quality monitoring data of each city on the trajectory (air mass source trajectory) through which the polluted air mass is transmitted in the meteorological field. The first contribution ratio of the target area is used to analyze the regional transmission contribution and transmission trajectory of the atmospheric pollution in the target area.

[0054] Optionally, the backward trajectory model uses the atmospheric transport and diffusion model (Hybrid Single-Particle Lagrangian Integrated Trajectory model, HYSPLIT model) of the National Oceanic and Atmospheric Administration (NOAA).

[0055] In some embodiments, step 101 includes: step A1-step A2.

[0056] Step A1: Acquire regional air quality monitoring data, where the air quality monitoring data includes historical air quality monitoring data or predicted air quality monitoring data.

[0057] Step A2: According to the air quality monitoring data, based on the backward trajectory model, through aggregation analysis, the air mass source trajectory and the first contribution ratio of the target area are obtained.

[0058] In the embodiment of the present application, the regional air quality monitoring data is the air quality monitoring data of each area on the trajectory. The regional air quality monitoring data is determined based on the meteorological forecast data and meteorological reanalysis data released by the national monitoring or obtained through other channels. These two types of data have a wide range of acquisition channels, and the data are mature and accurate, which can improve the problem of difficult data acquisition.

[0059] In the embodiment of the present application, the historical or future pollution transmission contribution can be calculated according to whether the input data is historical data or predicted data, and this can be achieved using the same analysis model, which facilitates arbitrary switching of analysis data.

[0060] For example, air quality monitoring data include historical air quality monitoring data and predicted air quality monitoring data. Historical air quality monitoring data are used to trace the regional transmission contribution and transmission trajectory of atmospheric pollution in the target area, and predicted air quality monitoring data are used to predict the regional transmission contribution and transmission trajectory of atmospheric pollution in the target area.

[0061] In an embodiment of the present application, the backward trajectory model itself supports inputting historical meteorological data to generate past clustering results, or inputting predicted meteorological data to generate future clustering results. Based on the results and combined with the city's measured and predicted air quality data, historical and future transmission contributions can be achieved.

[0062] For example, take the city as the basic unit of the target area, and C as the target area. Obtain historical air quality monitoring data from the data released by the national monitoring, and based on the backward trajectory model, through aggregation analysis, the air mass source trajectory of the target area includes the first trajectory and the second trajectory.

[0063] Figure 2 The figure shows the schematic diagram of pollutant transmission contribution analysis in a certain period of time in City C. Figure 2 , area A, area B and area C are on the first track 1, and area D, area B and area C are on the second track 2. At this time, the contribution ratio of the first track 1 is 25%, and the contribution ratio of the second track 2 is 75%.

[0064] In step 102, based on the air mass backward trajectory model analysis and the fitting analysis of the air quality monitoring data, the region to which each trajectory time point belongs is analyzed, and the analyzed pollutant concentration data of each region is matched.

[0065] In some embodiments, step 102 includes: step B1-step B2.

[0066] Step B1: Obtain the longitude and latitude of each region and the time of the air mass passage.

[0067] Step B2: According to the latitude, longitude and time, based on the backward trajectory model, through aggregation analysis, the area to which each trajectory point belongs is analyzed, and the pollutant concentration data of each area is matched.

[0068] In an embodiment of the present application, each trajectory in the air mass source trajectory is a data sequence consisting of longitude, latitude and time. The longitude and latitude can be used to match the city it passes through, and the air quality of the city at that time can be obtained by corresponding to the time.

[0069] For example, after knowing that area A, area B and area C are on the first track, and area D, area B and area C are on the second track, based on the latitude and longitude and time, and based on the backward trajectory model, the pollutant concentration data of each city on the track, such as fine particulate matter (PM2.5), is obtained through aggregation analysis. Specifically, the PM2.5 concentration value of area A is 10, the PM2.5 concentration value of area B is 8, the PM2.5 concentration value of area C is 3, and the PM2.5 concentration value of area D is 5.

[0070] In step 103, the regional transmission contribution of atmospheric pollution in the target area is generated for the areas where the pollution in the target area is mainly affected. The transmission trajectory is the pollution transmission trajectory of the target area.

[0071] In some embodiments, step 103 includes: step C1-step C3.

[0072] Step C1: Calculate the second contribution ratio based on the pollutant concentration data on each trajectory. The second contribution ratio is the contribution percentage of each area on each trajectory to the atmospheric pollution concentration of the target area.

[0073] Step C2: Calculate a third contribution ratio based on the first contribution ratio and the second contribution ratio, where the third contribution ratio is the percentage of pollution transmission contribution of each analyzed area to the target area.

[0074] Step C3: Analyze the regional transmission contribution and transmission trajectory of the atmospheric pollution in the target area according to the third contribution ratio.

[0075] In some embodiments, step C1 includes: step c1-step c3.

[0076] Step c1: Calculate the mean of the pollutant concentration data based on the pollutant concentration data on each trajectory.

[0077] Step c2: Based on the mean, calculate the contribution and total contribution of each area on each trajectory to the pollution concentration value of the target area

[0078] Step c3: Calculate the second contribution ratio according to the contribution and the total contribution.

[0079] In some embodiments, step C2 includes: step c4.

[0080] Step c4: Calculate a third contribution ratio according to the first contribution ratio and the second contribution ratio by a weighted algorithm.

[0081] In the embodiment of the present application, C is the target area. After knowing that areas A, B and C are on the first track, and areas D, B and C are on the second track; the contribution ratio of the first track is 25%, and the contribution ratio of the second track is 75%; and the PM2.5 concentration value of area A is 10, the PM2.5 concentration value of area B is 8, the PM2.5 concentration value of area C is 3, and the PM2.5 concentration value of area D is 5, the process of parsing the atmospheric pollution area transmission contribution and transmission track of the target area according to steps C1-C3 is as follows:

[0082] 1. Calculate the mean concentration of PM2.5 parameters in all areas (including the target area) on each trajectory (if there is no PM2.5 concentration value in a certain area at this time, it will not be included in the mean calculation):

[0083] The first track: (10+8+7) / 3=7

[0084] The second trajectory: (10+5+3) / 3=6

[0085] 2. Calculate the contribution and total contribution (concentration value - mean) of each area on each trajectory to the pollution concentration value of the target area:

[0086] First track:

[0087] Area A: 10-7=3

[0088] Area B: 8-7=1

[0089] Area C: 3<7

[0090] If the concentration value is less than the mean value, it means that the area has no contribution to the pollution concentration value of the target area and does not participate in the calculation;

[0091] Total contribution: 3+1=4

[0092] Second track:

[0093] Area D: 5<6

[0094] Area B: 8-6=2

[0095] Area C: 3<6

[0096] If the concentration value is less than the mean value, it means that the area has no contribution to the pollution concentration value of the target area and does not participate in the calculation;

[0097] Total Contributions: 2

[0098] 3. Calculate the contribution ratio of the area on each trajectory to the target area (contribution / total contribution):

[0099] First track:

[0100] Area A: 3 / 4 = 0.75

[0101] Area B: 1 / 4 = 0.25

[0102] Second track:

[0103] Area B: 2 / 2 = 1

[0104] 4. Calculate the total contribution ratio of each area on the trajectory to the target area (total contribution ratio * contribution ratio of the trajectory):

[0105] Area A: 0.75*25%=18.75%

[0106] Area B: 0.25*25%+1*75%=81.25%

[0107] Area C:0

[0108] Area D:0

[0109] In summary, it can be concluded that the pollution contribution ratio of Area A to the PM2.5 parameters of the target area is 18.75%, and that of Area B is 81.25%. That is, the pollution of PM2.5 parameters in Area C is mainly affected by Area A and Area B.

[0110] In the embodiment of the present application, the above method is used to directly calculate the air mass transmission amount and the atmospheric pollution concentration, without involving complex chemical change processes, and the analysis results are more in line with the results objectively understood by environmental analysts. At the same time, this method can also greatly reduce the amount of calculation, from a high-performance computing cluster to a conventional server. For example, only a conventional server is needed to calculate the pollution transmission contribution of a city over a period of time in history in seconds.

[0111] In an embodiment of the present application, lidar data can also display the local pollution process caused by long-distance transmission.

[0112] In some embodiments, the method further includes: step 104 .

[0113] Step 104: Based on the geographic information system, draw the regional transmission contribution and transmission trajectory of the atmospheric pollution in the target area.

[0114] In an embodiment of the present application, a geographic information system (GIS) can be used to automatically draw the atmospheric pollution area transmission contribution and transmission trajectory of the target area according to the analyzed atmospheric pollution area transmission contribution and transmission trajectory of the target area, so as to achieve visual display.

[0115] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0116] The above is an introduction to the method embodiment. The following is a further explanation of the scheme described in this application through an apparatus embodiment.

[0117] Figure 3 FIG. 1 shows a structural diagram of an atmospheric pollution regional transmission analysis system according to an embodiment of the present application. Figure 3 The air pollution regional transmission analysis system includes an acquisition module 301, a matching module 302 and a parsing module 303.

[0118] The acquisition module 301 is used to acquire the air mass source trajectory and the first contribution ratio of the target area within a preset time period, where the first contribution ratio is the contribution ratio of the air mass in each trajectory to the total air masses in the air mass source trajectory.

[0119] The matching module 302 is used to analyze the area to which each track time point belongs on each track, and match the analyzed pollutant concentration data of each area.

[0120] The analysis module 303 is used to analyze the atmospheric pollution regional transmission contribution and transmission trajectory of the target area according to the pollutant concentration data and the first contribution ratio on each trajectory.

[0121] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0122] Figure 4 A schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present application is shown. Figure 4 As shown, Figure 4The electronic device 400 shown includes: a processor 401 and a memory 403. The processor 401 and the memory 403 are connected. Optionally, the electronic device 400 may also include a transceiver 404. It should be noted that in actual applications, the transceiver 404 is not limited to one, and the structure of the electronic device 400 does not constitute a limitation on the embodiments of the present application.

[0123] Processor 401 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0124] The bus 402 may include a path to transmit information between the above components. The bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 402 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0125] The memory 403 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0126] The memory 403 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the contents shown in the above method embodiment.

[0127] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0128] The embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when it is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment. Compared with the prior art, in the embodiment of the present application, within a preset time period, the air mass source trajectory and the first contribution ratio of the target area are obtained, and the first contribution ratio is the contribution ratio of the air mass of each trajectory to the total air mass in the air mass source trajectory; the area to which each trajectory time point belongs on each trajectory is analyzed, and the pollutant concentration data of each area analyzed is matched; then, according to the pollutant concentration data on each trajectory and the first contribution ratio, the atmospheric pollution regional transmission contribution and transmission trajectory of the target area are analyzed; it can improve the problem of large single operation calculation amount and long time consumption in the regional atmospheric pollution regional transmission analysis method, and achieve the effect of reducing the single operation calculation amount in the regional atmospheric pollution regional transmission analysis method and shortening the calculation time.

[0129] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0130] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for analyzing regional transmission of atmospheric pollution, characterized in that: include: Within a preset time period, obtaining the air mass source trajectory and a first contribution ratio of the target area, where the first contribution ratio is the contribution ratio of the air mass in each trajectory to the total air mass in the air mass source trajectory; Analyze the area to which each track time point on each track belongs, and match the analyzed pollutant concentration data of each area; Analyzing the regional transmission contribution and transmission trajectory of the atmospheric pollution in the target area according to the pollutant concentration data on each trajectory and the first contribution ratio; The step of analyzing the regional transmission contribution and the transmission trajectory of the atmospheric pollution in the target area according to the pollutant concentration data and the first contribution ratio on each trajectory includes: Calculate a second contribution ratio according to the pollutant concentration data on each trajectory, where the second contribution ratio is the contribution percentage of each area on each trajectory to the atmospheric pollution concentration of the target area; Calculating a third contribution ratio according to the first contribution ratio and the second contribution ratio, wherein the third contribution ratio is a percentage of pollution transmission contribution of each region to the target region; Analyzing the air pollution regional transmission contribution and transmission trajectory of the target area according to the third contribution ratio; The calculating the second contribution ratio according to the pollutant concentration data on each trajectory includes: Calculate the mean of the pollutant concentration data according to the pollutant concentration data on each trajectory; According to the mean, the contribution and total contribution of each area on each trajectory to the pollution concentration value of the target area are calculated, wherein, when the pollution concentration value is less than the mean, the corresponding area has no contribution to the pollution concentration value of the target area and does not participate in the calculation; Calculating the second contribution ratio according to the contribution and the total contribution; The calculating a third contribution ratio according to the first contribution ratio and the second contribution ratio includes: The third contribution ratio is calculated according to the first contribution ratio and the second contribution ratio by a weighted algorithm.

2. The method according to claim 1, characterized in that The step of obtaining the air mass source trajectory and the first contribution ratio of the target area includes: Acquiring regional air quality monitoring data, wherein the air quality monitoring data includes historical air quality monitoring data or predicted air quality monitoring data; According to the air quality monitoring data, based on the backward trajectory model, through aggregation analysis, the air mass source trajectory of the target area and the first contribution ratio are obtained.

3. The method according to claim 1, characterized in that The analyzing the area to which each track time point belongs on each track, and matching the analyzed pollutant concentration data of each area, includes: Obtain the latitude and longitude of each area and the time when the air mass passes; According to the longitude and latitude and the time, based on the backward trajectory model, through aggregation analysis, the area to which each trajectory time point belongs on each trajectory is analyzed, and the pollutant concentration data of each area obtained by the analysis is matched.

4. The method according to claim 1, characterized in that: Also includes: Based on the geographic information system, the regional transmission contribution and transmission trajectory of atmospheric pollution in the target area are drawn.

5. An atmospheric pollution regional transmission analysis system, characterized in that: include: An acquisition module, used to acquire the air mass source trajectory and a first contribution ratio of the target area within a preset time period, wherein the first contribution ratio is a contribution ratio of the air mass of each trajectory to the total air mass in the air mass source trajectory; A matching module, used to analyze the area to which each track time point belongs on each track, and match the analyzed pollutant concentration data of each area; An analysis module, used for analyzing the atmospheric pollution regional transmission contribution and transmission trajectory of the target area according to the pollutant concentration data and the first contribution ratio on each trajectory; The analysis module is specifically used to calculate a second contribution ratio according to the pollutant concentration data on each trajectory, the second contribution ratio being the contribution percentage of each area on each trajectory to the atmospheric pollution concentration of the target area; calculate a third contribution ratio according to the first contribution ratio and the second contribution ratio, the third contribution ratio being the contribution percentage of each area analyzed to the pollution transmission of the target area; and analyze the atmospheric pollution regional transmission contribution and transmission trajectory of the target area according to the third contribution ratio; The analysis module is also specifically used to calculate the mean of the pollutant concentration data based on the pollutant concentration data on each trajectory; calculate the contribution and total contribution of each area on each trajectory to the pollution concentration value of the target area based on the mean, wherein, when the pollution concentration value is less than the mean, the corresponding area has no contribution to the pollution concentration value of the target area and does not participate in the calculation; calculate the second contribution ratio based on the contribution and the total contribution; the analysis module is also specifically used to calculate the third contribution ratio through a weighted algorithm based on the first contribution ratio and the second contribution ratio.

6. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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