Contributions of aerosol composition and sources to particulate optical properties in a southern coastal city of China
Contributions of aerosol composition and sources to particulate optical properties in a southern coastal city of China
复制标题
中国南部沿海城市气溶胶成分和来源对颗粒物光学特性的贡献
DOI：
10.1016/j.atmosres.2019.104744
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发表时间：
2020-05
影响因子：
5.5
通讯作者：
Cao Junji
中科院分区：
文献类型：
--
作者：
Tian Jie;Wang Qiyuan;Han Yongming;Ye Jianhuai;Wang Ping;Pongpiachan Siwatt;Ni Haiyan;Zhou Yaqing;Wang Meng;Zhao Youzhi;Cao Junji
以中国南部某沿海城市为例，研究了化学成分和排放源对气溶胶光学性质的贡献。平均干光散射系数(BSCAT)和光吸收系数(BABS)分别为32.5 ± 15.5 mm−1和8.8 ± 4.7 mm−1。干旱、干旱和干旱的日变化周期均在早晨和夜间达到峰值。风速和风向不同，干风和风浪都不同，因此受运输路径影响。利用12h PM2.5样品的化学成分数据，采用改进的改进算法和混合环境受体模型，分别评估了气溶胶成分和源对干光消光的贡献(bext，Dry=bscat，Dry+BABS)。其次是元素碳、海盐、细粒土和硝酸铵。已确定的6个PM2.5来源分别是二次硫酸盐来源、生物质燃烧、海洋排放、扬尘、交通排放和船舶排放。海洋排放和次生硫酸盐源是BEXT的最大贡献者，白天干湿和夜间干湿的贡献最大。后向轨迹分析进一步探讨了来自周边地区的潜在污染源对三亚的影响。我们的研究结果将有助于改进该地区不同来源的辐射效应模型。
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−1and 8.8 ± 4.7 Mm−1, respectively. Diurnal cycles inbscat,dryandbabswere observed with peak values in the morning and at night. Bothbscat,dryandbabsvaried with wind speeds and directions, and thus affected by transport pathways. Chemical composition data for 12-h PM2.5samples 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 tobext,dry, followed by elemental carbon, sea salt, fine soil, and ammonium nitrate. The six PM2.5sources 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 ofbext,dryduring the daytime and nighttime, respectively. Backward trajectory analysis further explored the impact of potential sources tobext,dryat Sanya from surrounding regions. The results of our study would be useful for improving models of radiative effects from different sources in this area.
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影响因子：
5.5
作者：
Xu, Junwei;Tao, Jun;Zhang, Renjian;Cheng, Tiantao;Leng, Chunpeng;Chen, Jianmin;Huang, Guanghan;Li, Xiang;Zhu, Zhaoqin
通讯作者：
Zhu, Zhaoqin
影响因子：
5
作者：
M. Viana;I. Rivas;X. Querol;A. Alastuey;M. Álvarez-Pedrerol;L. Bouso;C. Sioutas;J. Sunyer
通讯作者：
M. Viana;I. Rivas;X. Querol;A. Alastuey;M. Álvarez-Pedrerol;L. Bouso;C. Sioutas;J. Sunyer
中国NOX排放的时空特征和影响因素：空间计量经济学分析。
DOI：
10.3390/ijerph15071405
发表时间：
2018-07-04
影响因子：
--
作者：
Diao B;Ding L;Su P;Cheng J
通讯作者：
Cheng J
影响因子：
5.1
作者：
Chow, Judith C.;Lowenthal, Douglas H.;Chen, L-W Antony;Wang, Xiaoliang;Watson, John G.
通讯作者：
Watson, John G.
DOI：
--
发表时间：
1998
期刊：
--
影响因子：
--
作者：
R. Draxler
通讯作者：
R. Draxler