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Journal of Applied Statistics and Management. 2018, (04) Core

Analysis of Influential Factors on PM2.5 in Beijing Based on Spatio-Temporal ModelChinese Full Text

MEI Bo;TIAN Mao-zai;Center for Applied Statistics of Renmin University;Statistics School of Renmin University;School of Statistics and Information, Xinjiang University of Finance and Economics;School of Statistics, Lanzhou University of Finance and Economics;

Abstract: This paper aims to analyze the influence of different factors on the concentration of particulate matter 2.5（PM2.5） based on spatio-temporal model, we propose to use full-model and reduced-model respectively to study the indirect and direct influence of various covariates. First of all, we classify the factors into two main categories: related air pollutants and meteorological conditions, further more considering the interactive effects of these two types of factors. Then the spatial characteris... More
Keywords：

PM2.5; air pollutants; meteorological variables; interactive effects; spatio-temporal model;

  • DOI：

    10.13860/j.cnki.sltj.20171012-003

  • Series：

    (H) Education ＆ Social Sciences; (B) Chemistry/ Metallurgy/ Environment/ Mine Industry

  • Subject：

    Environment Science and Resources Utilization

  • Classification Code：

    X513

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