Air pollution source identification method based on aerosol remote sensing and glowworm swarm algorithm

Abstract

The invention discloses an air pollution source identification method based on aerosol remote sensing and a glowworm swarm algorithm. The method comprises the steps: aerosol optical depths (AODs) are obtained according to the inversion of a satellite spectral remote sensing image, and wind speed vectors of the corresponding areas are obtained; the satellite spectral remote sensing image and the corresponding area digital maps are meshed to obtain an AOD average value of each image block and image block coordinates corresponding to enterprises; a coordinate of each image block serves as an initial position of a glowworm in the GSO algorithm, the AOD average values serve as the properties of glowworms, when the positions of the glowworms are updated every time, glowworm similarity correction factors obtained from the properties and wind speed and direction correction factors obtained from the wind speed vectors are added, the above factors are iterated to obtain source positions of the glowworms; the radiuses of the pollution coverage range of the enterprises are calculated, the enterprises are pollutant generation enterprises corresponding to the glowworms in the pollution coverage range of the enterprises, and the pollution source identification is realized. The method can effectively and accurately realize the air pollution source identification.

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

Images