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PM2.5 satellite remote sensing inversion method based on daily variation constraint

A PM2.5, satellite remote sensing technology, applied in the field of remote sensing, can solve the problem of not being able to provide diurnal variation feature information, and achieve the effect of improving the inversion accuracy

Pending Publication Date: 2020-09-29
NANTONG UNIVERSITY +1
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] (1) The data usually used are polar orbiting satellite products, this type of satellite can only provide observations at a certain fixed time every day, and cannot provide daily change characteristic information;

Method used

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  • PM2.5 satellite remote sensing inversion method based on daily variation constraint
  • PM2.5 satellite remote sensing inversion method based on daily variation constraint
  • PM2.5 satellite remote sensing inversion method based on daily variation constraint

Examples

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Embodiment 1

[0027] Taking the Yangtze River Delta region in 2016 as an example, using satellite and meteorological data, combined with the patented technical method of this application, to invert the hourly PM of the entire Yangtze River Delta region 2.5 concentration.

[0028] S10 Data Acquisition

[0029] S11. PM 2.5 The data comes from the China National Environmental Monitoring Center (http: / / www.cnemc.cn), which collected data from 137 stations in 26 cities in the Yangtze River Delta region in 2016. The PM 2.5 The data contains the latitude and longitude information of each station, the observation time, and the corresponding PM 2.5 Mass concentration value (in μg m -3 ). Since we use visible light data from satellites, only daytime PM is retrieved 2.5 , therefore, PM 2.5 The data is only collected during the day (8:00-18:00). PM per station 2.5 The characteristic fields included in the data include the following elements: province city city code site site code longitude lat...

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Abstract

The invention provides a PM2.5 satellite remote sensing inversion method based on daily variation constraint. The PM2.5 satellite remote sensing inversion method comprises the following steps of: S10,carrying out data acquisition; S20, processing data, namely, carrying out space-time matching on PM2.5 data, stationary satellite data and meteorological data; S30, quantifying daily change characteristics; S40, constructing a PM2.5 inversion algorithm; and S50, inputting to-be-measured meteorological data and to-be-measured stationary satellite data into the PM2.5 inversion algorithm model to obtain a PM2.5 inversion result. According to the PM2.5 satellite remote sensing inversion method based on daily variation constraint, observation values hour by hour in the daytime can be provided by adopting the stationary satellite data, meanwhile, daily change characteristics are quantified according to different seasons and time points and are fused with the PM2.5 data, the stationary satellitedata and the meteorological data to obtain a training data set, and the PM2.5 inversion precision is improved.

Description

technical field [0001] The invention relates to the field of remote sensing technology, in particular to a PM based on diurnal variation constraints 2.5 Satellite remote sensing inversion method. Background technique [0002] Ground PM 2.5 Concentration is an important part of air quality observation. There are usually two observation methods. One is conventional ground station observation. Although this technical method can provide more accurate PM 2.5 Observations, but the operation cost is high and the space coverage is limited; the other is the inversion method based on satellite observations. Since satellite observations usually have a large spatial range and the characteristics of repeated and continuous observations, the use of satellite observations can provide long-term series PM with high spatial coverage 2.5 inversion value. [0003] Retrieval of PM based on satellite remote sensing 2.5 The technology usually uses aerosol optical depth (this variable characte...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N20/00G06F16/9537G01D21/02G06N20/10G06N20/20
CPCG06F30/27G06N20/00G06F16/9537G01D21/02G06N20/10G06N20/20
Inventor 白鹤鸣王理刘伟张远鹏张玲玲吴媛媛李俊琦
Owner NANTONG UNIVERSITY