PM 2.5 Concentration Research Based on Multiple Models

Peng Fei Lian; Jun Xu; Bo Yi; Lu Tang; Yong Gan Zhao

doi:10.4028/www.scientific.net/AMR.926-930.4280

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Industrial Pollution Reduction among Administrative Regions
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Metallogenetic Model of Bauxite Deposit in WZD Area, Northern Guizhou, China
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PM 2.5 Concentration Research Based on Multiple Models
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930PM 2.5 Concentration Research Based on Multiple...

PM 2.5 Concentration Research Based on Multiple Models

Abstract:

Along with containing more and more PM2.5, the atmosphere is getting more and more harmful to the human’s health.Therefore, the reseach in PM2.5 characteristics and governance method is extremly significant.In this thesis, the stepwise regression,that is used to analysis the relevance between the PM2.5 concentration and the total concentration of the five other elements of the AQI(Air Quality Index) are introduced firstly.Then the 3-dmensional concentration distribution model in regard to the 10 atmospheric monitoring points of Wuhan is simulated by Matlab, which can reflected the PM2.5 concentration distribution in the space.Considering the teprature, humidity, wind velocity and visibility, the thesis set up a non-linear function, and simulated each parameters to get the PM2.5 generation model.In addition, the diffusion model is set up based on the gauss diffusion model.The comprehensive governance non-linear programming model is set up based on the approapriate constraint conditions, and the final governance programming is obtained by the Lingo simulation.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

4280-4283

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.4280

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Online since:

May 2014

Authors:

Peng Fei Lian*, Jun Xu, Bo Yi, Lu Tang, Yong Gan Zhao

Keywords:

3D Model, Gauss Diffusion Model, Non-Linear Programming, Stepwise Regression

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* - Corresponding Author

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