Journal
JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 262, Issue -, Pages -Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2020.110341
Keywords
Urban air pollution; PM2.5; Sequential pattern
Categories
Funding
- National Social Science Foundation of China [19AZD022]
- National Natural Science Foundation of China [71671024, 71601028, 71421001]
- Fundamental Research Funds for the Central Universities (Indoor air pollution control, Collaborative governance of air pollution)
- Humanity and Social Science Foundation of the Ministry of Education of China [15YJCZH198]
- Social Planning Foundation of Liaoning [L17AGL012]
- Scientific and Technological Innovation Foundation of Dalian [2018J11CY009]
Ask authors/readers for more resources
Serious PM2.5 air pollution has persistently plagued and endangered most urban areas in China in recent years, and targeted policies are necessary to improve urban air quality ranging from macro policy (national level) to medium policy (city level) to micro policy (site specific). However, the macro-pattern study of air pollution between Chinese cities is inadequate, and not conducive to the formulation of macro-policy. To bridge this gap, we applied a sequential pattern mining algorithm to analyze the spatial-temporal patterns of PM2.5 pollution across Chinese cities during the period 2015 to 2018. The sequential patterns were collected from three levels of granularity on geographic areas and ten temporal scenarios covering time intervals from 10 to 100 h. Many underlying associative relationships were revealed between different cities by the mined patterns. The patterns were heterogeneous and presented five characteristics (i.e., clustering, symmetry, imbalance, decay, and stability). Each of the urban areas under investigation at different granularities was analyzed to identify the occurrence of associative relationships between it and other urban areas; moreover, we determined the degree of severity of such relationships. Our research results provide solid data that can be used as a reference by the various levels of Chinese governments for decision-making; overall, they can be used to improve the design of joint policies to prevent and control PM2.5 pollution in Chinese urban areas.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available