Hotspot grid identification method and device, electronic equipment and readable storage medium

Abstract

The invention provides a hotspot grid identification method and device, electronic equipment and a readable storage medium. The method comprises dividing a specific area into a plurality of grids; forthe grids, acquiring AOD concentration data based on satellite inversion, and acquiring surface feature information of each grid; calculating difference data of the surface feature information and difference data of the AOD concentration data based on satellite inversion; performing learning through a machine learning method to obtain a correlation model of the difference data of the surface feature information and the difference data of the AOD concentration data based on satellite inversion; according to a correlation model, calculating a pollution emission influence weight for each of theone or more types of surface feature information; and screening hotspot grids by utilizing the pollution emission influence weight and the surface feature information. According to the method, the problems of data instability and insufficient availability caused by cloud shielding in the existing hotspot grid screening technology can be solved, and hotspot grids can be accurately, objectively andstably screened.

Description

technical field [0001] The invention relates to the field of environmental protection, in particular to a hotspot grid identification method for screening hotspot grids to be supervised in a specific region according to surface information factors. Background technique [0002] With the rapid development of various industries, a large number of harmful substances are produced, such as smoke, sulfur dioxide, nitrogen oxides, carbon monoxide, hydrocarbons, etc. These harmful substances are continuously discharged into the atmosphere. When their content exceeds the limit that the environment can bear, it will destroy the natural physical, chemical and ecological balance, form air pollution, and endanger people's life, work and health. [0003] One of the important foundations for solving environmental problems is to accurately grasp the current situation of the environment. In order to improve the effectiveness of environmental supervision in key areas, and to discover and sol...

AI Technical Summary

Problems solved by technology

Based on the hotspot grid screening method of satellite retrieved AOD concentration, only part of the satellite retrieved AOD concentration can be obtained through satellite data due to cloud cover (such as Figure 1a-Figure 1d As shown, due to cloud cover, satellite data in some areas can only be obtained in different time periods, so only the PM2.5 concentration in some areas can be retrieved

Figure 1a In the data at 2 o'clock on July 30, 2019, due to cloud cover, only the data of North China and some parts of Central China can be retrieved. Figure 1b Among the data at 10 o'clock on July 30, 2019, only the data of some areas in Gansu and Inner Mongolia can be retrieved. Figure 1c In the data at 2 o'clock on August 3, 2019, only the data of some areas of Inner Mongolia can be retrieved. Figure 1d In the data at 3:00 on August 8, 2019, only the data of some areas in Xinjiang and Inner Mongolia can be retrieved), and there are problems of incomplete data, inaccurate monitoring, and instability

Secondly, the hotspot grid screening method based on the emission source inventory, due to the slow update of the emission source inventory, one year or even longer, leads to the inability to grasp the emission situation in the region in time

According to the hotspot grid screening method of surface feature information, because different surface feature information in the same area has different influence on pollution, there is currently no method that can accurately and objectively indicate surface feature information (bare land area, factory area, The importance of each of the building area, road area, water body area, etc.), it is not clear which one or which factors are more important, and the method of empirical value cannot accurately and objectively screen out the hotspot grid

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