TY - JOUR
T1 - Contributions of aerosol composition and sources to particulate optical properties in a southern coastal city of China
AU - Tian, Jie
AU - Wang, Qiyuan
AU - Han, Yongming
AU - Ye, Jianhuai
AU - Wang, Ping
AU - Pongpiachan, Siwatt
AU - Ni, Haiyan
AU - Zhou, Yaqing
AU - Wang, Meng
AU - Zhao, Youzhi
AU - Cao, Junji
N1 - Funding Information:
The authors declare no real or perceived financial conflicts of interests. This work was jointly supported by the National Natural Science Foundation of China ( 41661144020 and 41705106 ), the Key Research and Development Program of Shaanxi Province ( 2018-ZDXM3-01 ), the China Postdoctoral Science Foundation ( 2018M633523 and 2015M580890 ), and the Chinese Academy of Sciences ( KLACP1703 and SKLLQG1529 ). Qiyuan Wang also acknowledged the support of the Youth Innovation Promotion Association, Chinese Academy of Sciences ( 2019402 ).
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - The contributions of chemical composition and emission sources to aerosol optical properties were evaluated for a coastal city in southern China. The average dry light scattering coefficient (bscat,dry) and light absorption coefficient (babs) were 32.5 ± 15.5 Mm−1 and 8.8 ± 4.7 Mm−1, respectively. Diurnal cycles in bscat,dry and babs were observed with peak values in the morning and at night. Both bscat,dry and babs varied with wind speeds and directions, and thus affected by transport pathways. Chemical composition data for 12-h PM2.5 samples were used with the revised IMPROVE algorithm and a Hybrid Environmental Receptor Model to evaluate aerosol composition and source contributions to dry light extinction (bext,dry = bscat,dry + babs), respectively. Ammonium sulfate and organic matter were the dominant contributors to bext,dry, followed by elemental carbon, sea salt, fine soil, and ammonium nitrate. The six PM2.5 sources identified were secondary sulfate source, biomass burning, marine emission, fugitive dust, traffic-related emission, and shipping emission. Marine emission and secondary sulfate source were the largest contributors of bext,dry during the daytime and nighttime, respectively. Backward trajectory analysis further explored the impact of potential sources to bext,dry at Sanya from surrounding regions. The results of our study would be useful for improving models of radiative effects from different sources in this area.
AB - The contributions of chemical composition and emission sources to aerosol optical properties were evaluated for a coastal city in southern China. The average dry light scattering coefficient (bscat,dry) and light absorption coefficient (babs) were 32.5 ± 15.5 Mm−1 and 8.8 ± 4.7 Mm−1, respectively. Diurnal cycles in bscat,dry and babs were observed with peak values in the morning and at night. Both bscat,dry and babs varied with wind speeds and directions, and thus affected by transport pathways. Chemical composition data for 12-h PM2.5 samples were used with the revised IMPROVE algorithm and a Hybrid Environmental Receptor Model to evaluate aerosol composition and source contributions to dry light extinction (bext,dry = bscat,dry + babs), respectively. Ammonium sulfate and organic matter were the dominant contributors to bext,dry, followed by elemental carbon, sea salt, fine soil, and ammonium nitrate. The six PM2.5 sources identified were secondary sulfate source, biomass burning, marine emission, fugitive dust, traffic-related emission, and shipping emission. Marine emission and secondary sulfate source were the largest contributors of bext,dry during the daytime and nighttime, respectively. Backward trajectory analysis further explored the impact of potential sources to bext,dry at Sanya from surrounding regions. The results of our study would be useful for improving models of radiative effects from different sources in this area.
KW - Chemical composition
KW - Light extinction
KW - PM
KW - Source apportionment
UR - http://www.scopus.com/inward/record.url?scp=85075168817&partnerID=8YFLogxK
U2 - 10.1016/j.atmosres.2019.104744
DO - 10.1016/j.atmosres.2019.104744
M3 - Journal article
AN - SCOPUS:85075168817
SN - 0169-8095
VL - 235
JO - Atmospheric Research
JF - Atmospheric Research
M1 - 104744
ER -