Air Pollution Source Identification Method Based on Remote Sensing Aerosol and Firefly Swarm Algorithm

Abstract

The invention discloses an air pollution source identification method based on a remote sensing aerosol and a firefly swarm algorithm. According to the satellite spectrum remote sensing image inversion, the aerosol optical thickness value is obtained, and the wind speed vector of the corresponding area is obtained. The satellite spectrum remote sensing image and the corresponding The regional digital map is gridded to obtain the average aerosol optical thickness of each image block and the corresponding image block coordinates of the enterprise; the coordinates of each image block are used as the initial position of the firefly in the GSO algorithm, and the average aerosol thickness is used as the firefly attribute, each time the firefly position is updated, the firefly similarity correction factor obtained from the attribute value and the wind speed and direction correction factor obtained from the wind speed vector are introduced, and the source position of the firefly is obtained after multiple iterations; the pollution coverage radius of the enterprise is calculated, and the The enterprise, as the producer of the pollutants corresponding to the fireflies within its pollution coverage area, realizes the identification of pollution sources. The invention can efficiently and accurately realize the identification of air pollution sources.

Description

technical field [0001] The invention belongs to the technical field of air pollution source identification, and more specifically relates to an air pollution source identification method based on remote sensing aerosol and firefly swarm algorithm. Background technique [0002] Atmospheric pollution is a serious environmental pollution problem that our country is currently facing. Air pollutants including PM2.5 not only reduce air visibility and affect travel, but also studies have shown that PM2.5 can directly enter the lower respiratory tract of the human body and is associated with respiratory diseases and heart diseases. There is a close relationship, and respiratory diseases are currently on the rise in our country, and thus are increasingly receiving people's attention. [0003] Prevention of air pollution lies in source control. Finding the emission sources of air pollutants and finding out their emissions are necessary conditions for the next step of management, which...

AI Technical Summary

Problems solved by technology

For the push-up method, due to the need for a large number of on-site sampling and laboratory analysis, the workload is heavy and the cost is high. Except for intermittent use in some key areas, it is difficult to use it on a large scale or continuously; for the push-down method The establishment of the emission inventory is the key, but so far, my country has not yet had a complete emission inventory

In addition, due to factors such as unclear emission source classification and lack of emission factor databases, it is almost impossible to construct emission inventories in some cases

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