PM2.5 concentration satellite remote sensing estimation method in polluted weather

Abstract

A PM2.5 concentration satellite remote sensing estimation method in polluted weather comprises establishing a data set by using satellite aerosol optical thickness data and corresponding ground PM2.5concentration data; completing sample learning and data testing based on a gradient boost regression tree learning method; verifying the accuracy of a test result, and adjusting the parameters of thegradient boost regression tree to meet an accuracy requirement. By the final regression tree calculation model, the method can be effectively used for estimating the PM2.5 concentration in polluted weather, has high result accuracy and a fast estimation speed, can supplement the deficiency of a traditional method for estimating the PM2.5 concentration in polluted weather, and provides accurate data support for the prevention and control of air pollution.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a satellite remote sensing estimation method for PM2.5 concentration in polluted weather. Background technique [0002] With the sustained and rapid development of my country's industrialization and urbanization, people's living standards have risen sharply, and more and more environmental problems have also emerged. In recent years, large-scale continuous smog has occurred in China many times. The smog is mainly composed of PM2.5, which can enter the lungs. PM2.5 refers to particles with an aerodynamic diameter of less than 2.5 μm. Compared with PM10, PM2.5 has a smaller particle size and can be absorbed in the atmosphere Long-term stay and long-distance transmission have a greater impact on the quality of the air environment; PM2.5 is easy to attach to various toxic and harmful substances (such as persistent organic pollutants, heavy metals, various pathogenic bacteria, ...

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Problems solved by technology

[0003] At present, the research on PM2.5 concentration mainly includes ground observation and remote sensing inversion. Among them, ground observation mainly includes offline sample collection and real-time online sample detection, but the coverage of ground monitoring stations is low and the time is not long. Continuous, difficult to conduct long-term and large-scale research

Satellite remote sensing methods can effectively solve these problems, because aerosol optical depth has a strong correlation with PM2.5 concentration, so the remote sensing estimation method based on aerosol optical depth is widely used in the estimation of PM2.5 concentration. There are many remote sensing estimation methods for PM2.5 concentration, but when the PM2.5 concentration is high, the estimation effect is not ideal, and problems such as missing data and inaccurate estimation often occur. Therefore, remote sensing of PM2.5 concentration in polluted weather Estimates are not perfect, there are still many problems

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