Geostationary satellite hourly near-surface atmospheric fine particulate matter estimation method

A technology of atmospheric fine particles and geostationary satellites, applied in particle suspension analysis, neural learning methods, meteorology, etc., can solve the problems of inability to accurately, timely and effectively obtain hour-scale near-ground fine particle concentration data, and achieve a solution to the gradient Disappear, solve the effect of large amount of calculation, clear and fine method
CN112484776AInactive Publication Date: 2021-03-12CHENGDU UNIV OF INFORMATION TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHENGDU UNIV OF INFORMATION TECH
Publication Date
2021-03-12
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a geostationary satellite hourly near-surface atmospheric fine particulate matter estimation method. Themethod comprises the following steps of: S1, vertical correction, specifically, matching a near-surface extinction coefficient calculated by a meteorological station with the aerosol optical thickness of a FY-4 satellite to calculate the aerosol elevation of an area wherethe meteorological station is located; S2, humidity correction, specifically, fitting a moisture absorption growth function of the station month by month by utilizing a model 1 and a model 2, and calculating moisture absorption growth factors under different humidity conditions after verifying the effect; and S3, particulate matter estimation, specifically, utilizing resampling and longitude andlatitude matching to construct a prediction and verification data set of data features and models through foundation particulate matter concentration observation data, physically corrected dry extinction and all parameters. According to the method, the precision of the elevation simulated through an atmospheric environment mode is better; the method for solving the particle moisture absorption growth effect is clear and fine; and the problems of large calculation amount and gradient disappearance of a neural network are solved by using a streamline as an activation function.
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Description

technical field

[0001] The invention relates to the technical field of atmospheric environment detection, in particular to a method for estimating fine particles in the atmosphere near the ground by geostationary satellites hour by hour. Background technique

[0002] Since the early 1980s, my country has experienced more than 30 years of sustained and rapid economic development, the level of the national economy has been greatly improved, and the urbanization process is very rapid. Accompanying this is that human activities and industrial production discharge more gaseous and particulate pollutants into the atmosphere, causing the air quality in some areas of my country to continue to deteriorate. A large number of environmental epidemiological studies have found that exposure to fine particles in the atmosphere is related to Various diseases, including asthma, respiratory infection, lung cancer, cardiovascular disease, and premature death, are robustly correlated worldwide. ...

Claims

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