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

Biology

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