AOD (Aerosol Optical Depth) estimation method based on PM2.5 and PM10

An optical depth, -PM10 technology, applied in the field of aerosol optical depth estimation, can solve the problems of difficult real-time acquisition and low inversion accuracy

Inactive Publication Date: 2016-11-09
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

Inspired by this conclusion, given that the retrieval accuracy of atmospheric aerosol optical depth (AOD) is not high and it is difficult to obtain in real time, while the ground air quality monitoring stations can release data such as PM2.5 and PM10 concentrations in real time, and the number of stations will continue to increase. The present invention proposes a method for estimating atmospheric aerosol optical thickness based on PM2.5 and PM10 concentration monitoring data to better predict photovoltaic power generation

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  • AOD (Aerosol Optical Depth) estimation method based on PM2.5 and PM10
  • AOD (Aerosol Optical Depth) estimation method based on PM2.5 and PM10
  • AOD (Aerosol Optical Depth) estimation method based on PM2.5 and PM10

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Embodiment Construction

[0038] Taking the estimation of the atmospheric aerosol optical depth in Wuhan as a preferred embodiment of the present invention includes the following steps.

[0039] 1. Take ground visibility v, humidity h, PM2.5 concentration C 0 , PM10 concentration C 1 As the input, the atmospheric aerosol optical depth AOD is the output, and the corresponding neural network prediction model of gravity is established and trained, and its structure is as follows figure 1 As shown, the details are as follows:

[0040] a. Collect data to construct a sample set;

[0041] Record the PM2.5 concentration C on the ground at a certain moment k 0 , PM10 concentration C 1 , visibility v, humidity h and atmospheric aerosol optical depth AOD, a sample (C 0 (k), C 1 (k), v(k), h(k), AOD(k)); By collecting multiple samples at different times, a sample set {(C 0 (k), C 1 (k), v(k), h(k), AOD(k))};

[0042] In the embodiment, a total of 250 samples were collected;

[0043] b. Establish a three-la...

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Abstract

The invention provides an AOD (Aerosol Optical Depth) estimation method based on PM (Particulate Matter) 2.5 and PM10. According to the method, on the basis of collecting a large number of PM2.5-PM10 concentration-humidity-visibility-AOD actual sample data, a universal gravitation neural network prediction model of the AOD is built; and the AOD estimation is performed by using the model, so that the problems of low AOD inversion precision and real-time obtaining difficulty are solved.

Description

technical field [0001] The invention relates to an aerosol optical thickness estimation method based on PM2.5 and PM10, and belongs to the technical field of photovoltaic power prediction. Background technique [0002] The prediction of photovoltaic power generation is of great significance to ensure the stable operation of the power system. The indirect prediction method based on solar radiation forecast is one of the common research methods. Atmospheric aerosol optical depth (AOD) is an important parameter for calculation of solar radiation transfer, which can be obtained through satellite observations and ground-based observations. The satellite observation method refers to the inversion of AOD based on the monitoring data of the Moderate Resolution Imaging Spectrometer (MODIS) carried by remote sensing satellites. Ground-based observation refers to the inversion of AOD by using the solar radiation intensity measured by the photometer, which has high accuracy, but the ca...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 刘卫亮李金拓马良玉李静刘长良陈文颖林永君熊峰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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