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Regional characteristics of atmospheric delta S-34-SO42- over three parts of Asia monitored by quartz wool-based passive samplers 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 778, 页码: 9
作者:  Wang, Xiao;  Li, Jun;  Sun, Rong;  Jiang, Hongxing;  Zong, Zheng;  Tian, Chongguo;  Xie, Luhua;  Li, Qilu;  Jia, Wanglu;  Peng, Ping'an;  Zhang, Gan
浏览  |  Adobe PDF(1292Kb)  |  收藏  |  浏览/下载：541/217  |  提交时间：2021/10/20
China  Indochina peninsula  Pakistan  Passive air sampler  Sulfur isotopic composition  Bayesian mixing model  
Determining the Sources and Transport of Brown Carbon Using Radionuclide Tracers and Modeling 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 卷号: 126, 期号: 9, 页码: 17
作者:  Jiang, Hongxing;  Li, Jun;  Sun, Rong;  Liu, Guoqing;  Tian, Chongguo;  Tang, Jiao;  Cheng, Zhineng;  Zhu, Sanyuan;  Zhong, Guangcai;  Ding, Xiang;  Zhang, Gan
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atmospheric dissolved organic matter  biomass burning  brown carbon  radionuclide tracers  regional transport  Source apportionment  
Biomass burning organic aerosols significantly influence the light absorption properties of polarity-dependent organic compounds in the Pearl River Delta Region, China 期刊论文
ENVIRONMENT INTERNATIONAL, 2020, 卷号: 144, 页码: 9
作者:  Jiang, Hongxing;  Li, Jun;  Chen, Duohong;  Tang, Jiao;  Cheng, Zhineng;  Mo, Yangzhi;  Su, Tao;  Tian, Chongguo;  Jiang, Bing;  Liao, Yuhong;  Zhang, Gan
浏览  |  Adobe PDF(7455Kb)  |  收藏  |  浏览/下载：379/134  |  提交时间：2021/06/16
Brown carbon  Polar carbon fractions  Biomass burning organic aerosol  Pearl River Delta Region  Molecular composition  
Source Apportionment of PM(2.5)in Guangzhou Based on an Approach of Combining Positive Matrix Factorization with the Bayesian Mixing Model and Radiocarbon 期刊论文
ATMOSPHERE, 2020, 卷号: 11, 期号: 5, 页码: 18
作者:  Li, Tingting;  Li, Jun;  Jiang, Hongxing;  Chen, Duohong;  Zong, Zheng;  Tian, Chongguo;  Zhang, Gan
浏览  |  Adobe PDF(1452Kb)  |  收藏  |  浏览/下载：379/147  |  提交时间：2021/06/21
PM2  5  C-14  PMF model  Bayesian mixing model  primary source  secondary aerosol  Pearl River Delta (PRD)