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Aerosol vertical distribution and sources estimation at a site of the Yangtze River Delta region of China

Fan, Wenzhi and Qin, Kai and Xu, Jian and Yuan, Limei and Li, Ding and Jin, Zi and Zhang, Kefei (2019) Aerosol vertical distribution and sources estimation at a site of the Yangtze River Delta region of China. Atmospheric Research, 217, pp. 128-136. Elsevier. DOI: 10.1016/j.atmosres.2018.11.002 ISSN 0169-8095

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Official URL: https://www.sciencedirect.com/science/article/pii/S0169809518307646

Abstract

The vertical distribution characteristics of aerosols are key uncertain factors for studying the effect on radiative forcing and trans-regional transport of pollutants. This paper used three years (2013-2015) LiDAR measurements at a site in the Yangtze River Delta region of China to investigate the aerosol vertical distribution and transport sources of aerosol-aloft by using the Potential Source Contribution Function (PSCF) and Concentration-Weighted Trajectory (CWT) models. The results indicated that there were 230 haze days accounted for 21% of all the days, including 142 damp haze days and 88 dry haze days during the study period. The aerosols below 2 km accounted for >89% of the total aerosol optical depth (AOD). Compared to other seasons, aerosols in winter were more likely to accumulate below 1 km (>69%). In summer, although atmospheric convention was strong leading to a high planetary boundary layer height (PBLH) and the concentration of PM2.5 was low, the AOD was largest because of high relative humidity that caused hygroscopic growth of particles. Due to the stable weather condition in winter, the PBLH was low with the largest concentration of PM2.5, so the occurrence of haze days was most frequent. The PSCF and CWT results revealed that the high-level aerosols mainly came from local areas; the CWT model showed considerable long-distance transports of dust from northern/northwestern China, as far as Mongolia, Gansu Province and Xinjiang Uygur Autonomous Region, in spring, autumn and winter. Southern sources were more obvious in winter that could contribute more anthropogenic aerosols and biomass burning emissions.

Item URL in elib:https://elib.dlr.de/123324/
Document Type:Article
Title:Aerosol vertical distribution and sources estimation at a site of the Yangtze River Delta region of China
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fan, WenzhiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Qin, KaiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Xu, Jianjian.xu (at) dlr.dehttps://orcid.org/0000-0003-2348-125X
Yuan, LimeiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Li, DingSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Jin, ZiWuxi CAS Photonics Corporation, Wuxi, ChinaUNSPECIFIED
Zhang, KefeiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, ChinaUNSPECIFIED
Date:1 March 2019
Journal or Publication Title:Atmospheric Research
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:217
DOI :10.1016/j.atmosres.2018.11.002
Page Range:pp. 128-136
Publisher:Elsevier
ISSN:0169-8095
Status:Published
Keywords:Aerosol, LiDAR, Vertical distribution, Yangtze River Delta
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Xu, Dr.-Ing. Jian
Deposited On:22 Nov 2018 11:10
Last Modified:01 Apr 2020 03:00

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