Geographic detection and PCA based method for screening key influential factor of PM2.5 concentration distribution

A technology of influencing factors and concentration distribution, applied in the field of air pollution research, can solve problems such as lack of analysis methods, and achieve the effect of ensuring accuracy and eliminating multicollinearity

Active Publication Date: 2019-09-20
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0006] The present invention aims at the above-mentioned deficiencies in the prior art, and provides a kind of PM2.5 concentration based on geographic detection and PCA that can solve the problem of...

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  • Geographic detection and PCA based method for screening key influential factor of PM2.5 concentration distribution
  • Geographic detection and PCA based method for screening key influential factor of PM2.5 concentration distribution
  • Geographic detection and PCA based method for screening key influential factor of PM2.5 concentration distribution

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with accompanying drawing:

[0034] like figure 1 As shown, it is a flow chart of the present invention based on geographic detection and PCA for the key influencing factor screening method of PM2.5 concentration distribution.

[0035] Based on geographic detection and PCA of the present invention, the key influencing factor screening method of PM2.5 concentration distribution comprises the steps:

[0036] S1. Obtain the locations of PM2.5 monitoring stations in the area to be studied, and establish several buffer zones.

[0037] Specifically, the buffer zone is a number of areas with a set size centered on the location of the PM2.5 monitoring station. The buffer zone is set to reflect the scale effect of the influence factor on the PM2.5 concentration distribution.

[0038] S2. Acquiring and discretizing the impact factor data in the area to be studied.

[0039] Impact factor data includes meteorol...

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Abstract

The invention discloses a geographic detection and PCA based method for screening a key influential factor of PM2.5 concentration distribution. The method comprises that the positions of PM2.5 monitoring stations are obtained, and buffer areas are established; influential factor data in an area to be researched is obtained and made discrete; corresponding influential factor data of each PM2.5 monitoring station is obtained from the discrete influential factor data; and the contribution degree and relevance of the discrete influential factor data are analyzed by a geographic detector model. The problem that the prior art lacks an analysis method for comprehensively considering relation between variables and PM2.5 concentration distribution can be solved, the accuracy is high, analysis is comprehensive, and the application range is wide.

Description

technical field [0001] The invention relates to the technical field of air pollution research, in particular to a method for screening key influencing factors on PM2.5 concentration distribution based on geographic detection and PCA. Background technique [0002] PM2.5 is one of the main pollutants in the atmosphere, which is closely related to the occurrence of haze weather. Assessing PM2.5 pollution requires a large amount of continuous spatial distribution data. In the existing technology, ground monitoring is the most reliable method to obtain PM2.5 concentration data, but the number of existing ground fixed monitoring stations is small and the spatial distribution Uneven, unable to meet requirements. [0003] For gas detection instruments such as PM2.5 speed detectors, they have the characteristics of short time limit, small range, high precision, but high cost, which cannot well meet the evaluation needs. [0004] Using the PM2.5 influence factor data combined with t...

Claims

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Application Information

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IPC IPC(8): G01N15/06
CPCG01N15/06
Inventor 赵锐詹梨萍姚明星
Owner SOUTHWEST JIAOTONG UNIV
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