Multi-factor fitting model-based atmospheric aerosol optical depth estimation method

An atmospheric aerosol and model-fitting technology, which is applied in computing, informatics, special data processing applications, etc., and 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 it in real time, the ground air quality monitoring stations can release data such as PM2.5 concentration and PM10 concentration in real time, and the number of stations will continue to increase , the present invention proposes a multi-factor fitting model-based atmospheric aerosol optical depth estimation method to better predict photovoltaic power generation

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  • Multi-factor fitting model-based atmospheric aerosol optical depth estimation method
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  • Multi-factor fitting model-based atmospheric aerosol optical depth estimation method

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Embodiment Construction

[0040] The invention relates to a method for estimating atmospheric aerosol optical thickness based on a multi-factor fitting model. The method establishes AOD on the basis of collecting a large number of actual samples of PM2.5 concentration-PM10 concentration-humidity-AOD-aerosol elevation The multi-factor fitting model of , and use the model to estimate AOD. The method includes the following steps:

[0041] a. Collect data to form an AOD sample set:

[0042] Record the PM2.5 concentration C at a certain moment k 0 , PM10 concentration C 1 , relative humidity h, atmospheric aerosol optical depth AOD and atmospheric aerosol elevation H in this area, the sample (C 0 (k), C 1 (k), h(k), AOD(k), H(k)); By collecting multiple samples under different AOD, a sample set is formed {(C 0 (k), C 1 (k), h(k), AOD(k), H(k))}; In a preferred example, 250 groups of samples in Wuhan area from 2008 to 2009 are collected to form a sample set.

[0043] b. Establish AOD multi-factor fittin...

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Abstract

The invention proposes a multi-factor fitting model-based atmospheric aerosol optical depth estimation method. According to the method, humidity correction and elevation correction are performed on the basis of acquiring actual samples of PM2.5 concentration, PM10 concentration and atmospheric aerosol optical depth (AOD), a multi-factor fitting model of the atmospheric AOD is established by applying a least square method, and the atmospheric AOD is estimated by utilizing the model, so that the problems of low inversion precision and difficult real-time acquisition of the atmospheric AOD are solved.

Description

technical field [0001] The invention relates to a method for estimating the optical thickness of atmospheric aerosol based on a multi-factor fitting model, 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 in the calculation of solar radiation transfer, which is generally 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. The ground-based observation method refers to the inversion of AOD by using the measurement data of the photomete...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 李静熊峰林永君刘卫亮刘长良陈文颖马良玉李金拓
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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