Analysis of the Contribution of the Road Traffic Industry to the PM2.5 Emission for Different Land-Use Types
Joint Authors
Xu, Peng
Wang, Wei
Ji, Jiawei
Yao, Shunyu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-04
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Road dust and vehicle exhaust are the main sources of air pollution in cities, especially in recent years with the quantity of vehicles and transportation construction continuously soaring; the hazy weather has been a dominant urban pollution form which is widely concerned by the Chinese society.
By establishing a relationship model between traffic and land use, then applying analytic hierarchy process on the data from air quality monitoring station, this paper concludes the influence of different traffic behavior on air pollution which provides support to abate urban air pollution caused by traffic reasons through taking measures to control traffic.
American Psychological Association (APA)
Xu, Peng& Wang, Wei& Ji, Jiawei& Yao, Shunyu. 2014. Analysis of the Contribution of the Road Traffic Industry to the PM2.5 Emission for Different Land-Use Types. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1016747
Modern Language Association (MLA)
Xu, Peng…[et al.]. Analysis of the Contribution of the Road Traffic Industry to the PM2.5 Emission for Different Land-Use Types. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1016747
American Medical Association (AMA)
Xu, Peng& Wang, Wei& Ji, Jiawei& Yao, Shunyu. Analysis of the Contribution of the Road Traffic Industry to the PM2.5 Emission for Different Land-Use Types. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1016747
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016747