A Remote Sensing Estimation Method for Atmospheric Fine Particles

Abstract

The invention discloses a remote sensing estimation method for fine particles in the atmosphere, comprising the following steps: 1) establishing a remote sensing model of fine particles; 2) introducing a theoretical formula for moisture absorption and growth of particles on the basis of the remote sensing model in step 1); 3) combining the Step 1) and step 2) are combined to obtain a remote sensing model of atmospheric fine particles using moisture absorption parameters. In the method for remote sensing estimation of atmospheric fine particles in the present invention, the moisture absorption parameters directly come from remote sensing observations, so that the relative humidity parameters obtained by satellites or forecasts are used to estimate the moisture absorption growth factor in the region, because the relative humidity parameters represent local conditions. The physical properties of the particulate matter can distinguish and identify the moisture absorption growth characteristics of the particulate matter in different regions, and obtain more accurate near-real-time results. The invention can effectively expand the remote sensing estimation area of ​​the atmospheric particles, broaden the field range of atmospheric fine particles research, and effectively improve the practical performance.

Description

technical field [0001] The invention relates to the field of satellite remote sensing, in particular to a remote sensing estimation method for atmospheric fine particles. Background technique [0002] With the accelerated development of urbanization and industrialization, air pollution continues to threaten human health. The World Health Organization has pointed out that since the 21st century in recent years, the number of deaths due to air pollution has reached as high as 2 million people each year, while inhalable (PM 10 ) and particulate matter (fine particulate matter, PM 2.5 ) increases the risk of people suffering from many diseases, especially PM 2.5 It can cause diseases such as cardiovascular and cerebrovascular diseases, respiratory diseases and premature birth of newborns. Since the beginning of the 21st century, these environmental and health problems have been extremely serious in the eastern and central regions of China, and it is urgent to analyze and stud...

AI Technical Summary

Problems solved by technology

This determines that the method relies too much on the ground visibility measurement, and the visibility near the ground is the sum of the extinction of all particles, and using it to replace the extinction of fine particles will inevitably cause errors

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