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

Advances in Meteorology

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

Physics

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