| Literature DB >> 31398677 |
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.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