Literature DB >> 31398677

Exploring regional air quality evolution by developing a driving force model: Case study of Beijing.

Minxin Luo1, Jin Li1, Shanying Hu2.   

Abstract

While the economy and society of China are developing rapidly, various ecological and environmental problems continue to emerge. The problem of air pollution is becoming an issue of increasing concern. Since 2013, Beijing, Tianjin, and Hebei Provinces have collaborated to control air pollution and have achieved certain success. However, the air pollution problem in the capital, Beijing, remains severe. In this study, a quantitative evaluation and analysis method is established for assessing urban air quality and its influencing factors by developing a driving force model. The model combines multiple regression and principal component analysis to account for social, economic, meteorological, and regional factors. The influencing factors with the highest contributions are regional transmission, energy consumption, and industrial structure. This model is used to project the future trend of the air quality in Beijing based on the evolution of the influencing factors, aimed to provide a theoretical basis for policies improving Beijing's air quality.
Copyright © 2019. Published by Elsevier Ltd.

Keywords:  Air pollution; Influencing factors; Multiple regression; Principal component analysis; Scenario analysis

Mesh:

Year:  2019        PMID: 31398677     DOI: 10.1016/j.jenvman.2019.109333

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Study on Air Quality and Its Annual Fluctuation in China Based on Cluster Analysis.

Authors:  Shengyong Zhang; Yunhao Chen; Yudong Li; Xing Yi; Jiansheng Wu
Journal:  Int J Environ Res Public Health       Date:  2022-04-08       Impact factor: 4.614

  1 in total

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