Screening method based on geographical detection and pca for key influencing factors 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: 2020-08-18
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 the lack of an analysis method that can fully consider the relationship between each variable and PM2.5 concentration distribution in the prior art. Key influence factor screening method for distribution

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  • Screening method based on geographical detection and pca for key influencing factors of PM2.5 concentration distribution
  • Screening method based on geographical detection and pca for key influencing factors of PM2.5 concentration distribution
  • Screening method based on geographical detection and pca for key influencing factors 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] Such as 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 meteo...

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Abstract

The invention discloses a method for screening key influencing factors of PM2.5 concentration distribution based on geographic detection and PCA, which includes obtaining the location of PM2.5 monitoring stations, establishing several buffer zones; obtaining the data of influencing factors in the area to be studied and Perform discretization processing; correspond the discretized impact factor data to the PM2.5 monitoring site, and obtain the impact factor data of each PM2.5 monitoring site; use the geographic detector model for the discretized impact factor data Conduct contribution analysis and correlation analysis, etc. The invention can solve the problem in the prior art that there is no analysis method capable of comprehensively considering the relationship between each variable and the PM2.5 concentration distribution, and has strong accuracy, comprehensive analysis and wide application range.

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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/06
CPCG01N15/06
Inventor 赵锐詹梨萍姚明星
Owner SOUTHWEST JIAOTONG UNIV
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