Atmospheric fine particulate matter remote sensing estimation method

Abstract

The invention discloses an atmospheric fine particulate matter remote sensing estimation method. The method comprises the following steps: 1) establishing a fine particulate matter remote sensing model; 2) on the basis of the remote sensing model in the step 1), introducing a theoretical formula of particle moisture absorption growth; and 3) combining the step 1) and the step 2) to obtain an atmospheric fine particulate matter remote sensing model using the moisture absorption parameters. According to the atmospheric fine particulate matter remote sensing estimation method, moisture absorptionparameters directly come from remote sensing observation. In this way, the moisture absorption growth factors in the area are estimated through the relative humidity parameters obtained through satellites or forecasts, due to the fact that the relative humidity parameters represent the physical properties of the local actual particles, the moisture absorption growth characteristics of the particles in different areas can be distinguished and recognized, and an accurate near-real-time result is obtained. According to the method, the atmospheric particulate remote sensing estimation area can beeffectively expanded, the field range of atmospheric fine particulate research is widened, and the practical performance is effectively improved.

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

Images