Atmospheric pollution gridding monitoring method based on stationary satellite and polar orbit satellite

Abstract

The embodiment of the invention provides an atmospheric pollution gridding monitoring method based on a stationary satellite and a polar orbit satellite. The method comprises the following steps: establishing a six-element heavy pollution high-incidence index model by utilizing annual average concentrations of PM2.5, PM10, SO2, NO2, O3, HCHO and the like monitored by a polar orbit satellite, determining an atmospheric pollution key attention grid, and mastering the monthly air quality improvement condition of the key attention grid macroscopically through monthly periodic evaluation; subdividing an important attention grid into 1-kilometer refined supervision grids, carrying out PM2.5 and PM10 concentration continuous monitoring for 6 hours in the daytime by using a stationary satellite, carrying out six-element concentration monitoring every day by using a polar orbit satellite, evaluating a conventional monitoring sample, and discovering monitoring abnormity on the basis of the six-element concentration monitoring; in combination with meteorological conditions such as wind speed, wind direction and the like and the latest sub-meter high-resolution images, screening abnormal areasto provide , pollution clues for law enforcement officers so that atmospheric pollution satellite remote sensing gridding dynamic monitoring service is realized.

Description

technical field [0001] The invention relates to the technical field of satellite remote sensing, in particular to a gridded monitoring method for air pollution based on geostationary satellites and polar orbit satellites. Background technique [0002] Accurate location of pollution sources is a key step in solving air pollution problems. my country's air pollution is gradually showing a complex pollution situation. Atmospheric fine particles include primary emissions and secondary generation. my country's atmospheric fine particles mainly come from secondary generation. Only rely on a single PM 2.5 The concentration cannot fully reflect the actual air pollution situation, nor can it accurately locate the source of air pollution, and its high concentration area cannot indicate that there must be a fixed source of atmospheric pollution in this area. At the same time, the existing monitoring abnormal alarms relying on ground micro-stations are costly, the monitoring space is ...

AI Technical Summary

Problems solved by technology

Only rely on a single PM 2.5 The concentration cannot fully reflect the actual air pollution situation, nor can it accurately locate the source of air pollution, and its high concentration area cannot indicate that there must be a fixed source of atmospheric pollution in this area

At the same time, the existing monitoring abnormal alarms relying on ground micro-stations are costly, the monitoring space is not continuous and the current installation is not standardized, and non-industrial pollution sources such as road dust will cause abnormal monitoring.

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