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Quantifying the Sources of the Severe Haze over the Southern Hebei Using the CMAQ Model
Joint Authors
Yang, Jing
Zhang, Pu
Meng, Chenchen
Su, Jie
Wei, Zhe
Zhang, Fenfen
Wei, Wei
Zhao, Xiujuan
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The Southern Hebei of China has experienced an obvious increase of the haze occurrence frequency in the recent years.
It has turned out to be one of the most seriously polluted areas in China.
This study is aimed at quantifying the sources of the serious haze pollution over the Southern Hebei area, using the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multiscale Air Quality Model (CMAQ) modeling system.
The sectoral contributions by the local and the surrounding regions to the fine particulate matter (PM2.5) concentrations in the two representative cities, Shijiazhuang and Xingtai, were analyzed by applying the method of scenario analysis.
It will provide useful information to the policy making in the severe air pollution control in the Southern Hebei area.
American Psychological Association (APA)
Yang, Jing& Zhang, Pu& Meng, Chenchen& Su, Jie& Wei, Zhe& Zhang, Fenfen…[et al.]. 2013. Quantifying the Sources of the Severe Haze over the Southern Hebei Using the CMAQ Model. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1012926
Modern Language Association (MLA)
Yang, Jing…[et al.]. Quantifying the Sources of the Severe Haze over the Southern Hebei Using the CMAQ Model. The Scientific World Journal No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1012926
American Medical Association (AMA)
Yang, Jing& Zhang, Pu& Meng, Chenchen& Su, Jie& Wei, Zhe& Zhang, Fenfen…[et al.]. Quantifying the Sources of the Severe Haze over the Southern Hebei Using the CMAQ Model. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1012926
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012926