Characteristics of Atmospheric Compositions in the Background Area of Yangtze River Delta during Heavy Air Pollution Episode
Joint Authors
Xu, Hong-Hui
Pu, Jing-Jiao
He, Jun
Liu, Jie
Qi, Bing
Du, Rong-Guang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In order to understand the formation and evolution of recurrent severe haze pollution episodes in Yangtze River Delta, China, a short comparative sampling campaign was conducted at the Lin’an background monitoring station from 25 November 2013 to 14 December 2013.
The characteristic concentrations of PM2.5, black carbon, CO2, CO, and CH4 have been systematically recorded at the abovementioned site.
Coupled with detailed analysis of air backward trajectories, fire spot distribution surrounding the studied site and meteorological impacts, temporal trend, diurnal variation, and intercorrelation of the aforementioned species have also been comprehensively investigated throughout prehaze, haze, and posthaze periods.
American Psychological Association (APA)
Xu, Hong-Hui& Pu, Jing-Jiao& He, Jun& Liu, Jie& Qi, Bing& Du, Rong-Guang. 2016. Characteristics of Atmospheric Compositions in the Background Area of Yangtze River Delta during Heavy Air Pollution Episode. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095620
Modern Language Association (MLA)
Xu, Hong-Hui…[et al.]. Characteristics of Atmospheric Compositions in the Background Area of Yangtze River Delta during Heavy Air Pollution Episode. Advances in Meteorology No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1095620
American Medical Association (AMA)
Xu, Hong-Hui& Pu, Jing-Jiao& He, Jun& Liu, Jie& Qi, Bing& Du, Rong-Guang. Characteristics of Atmospheric Compositions in the Background Area of Yangtze River Delta during Heavy Air Pollution Episode. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095620
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095620