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Occurrence, distribution, and ecological-health risks of selected antibiotics in coastal waters along the coastline of China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 644, 页码: 1469-1476
作者:  Lu, Jian;  Wu, Jun;  Zhang, Cui;  Zhang, Yuxuan;  Lin, Yichen;  Luo, Yongming
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Antibiotics  Ecological risks  Health risk assessment  China coastal waters  
Nitrogen isotope fractionation during gas-to-particle conversion of NOx to NO3- in the atmosphere - implications for isotope-based NOx source apportionment 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 卷号: 18, 期号: 16, 页码: 11647-11661
作者:  Chang, Yunhua;  Zhang, Yanlin;  Tian, Chongguo;  Zhang, Shichun;  Ma, Xiaoyan;  Cao, Fang;  Liu, Xiaoyan;  Zhang, Wenqi;  Kuhn, Thomas;  Lehmann, Moritz F.
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PM2.5 CARBONACEOUS AEROSOLS  YANGTZE-RIVER DELTA  EMISSION INVENTORY  HETEROGENEOUS OXIDATION  THEORETICAL CALCULATION  SATELLITE-OBSERVATIONS  RAINWATER NITRATE  TROPOSPHERIC NOX  AMMONIUM-SULFATE  1ST MEASUREMENTS  
Sources, compositions, and optical properties of humic-like substances in Beijing during the 2014 APEC summit: Results from dual carbon isotope and Fourier-transform ion cyclotron resonance mass spectrometry analyses 期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 239, 页码: 322-331
作者:  Mo, Yangzhi;  Li, Jun;  Jiang, Bin;  Su, Tao;  Geng, Xiaofei;  Liu, Junwen;  Jiang, Haoyu;  Shen, Chengde;  Ding, Ping;  Zhong, Guangcai;  Cheng, Zhineng;  Liao, Yuhong;  Tian, Chongguo;  Chen, Yingjun;  Zhang, Gan
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Asia-Pacific Economic Cooperation  Brown carbon  Carbon isotope  Fourier-transform ion cyclotron resonance mass spectrometry  Humic-like substances  
Risk assessment and source identification of coastal groundwater nitrate in northern China using dual nitrate isotopes combined with Bayesian mixing model 期刊论文
HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2018, 卷号: 24, 期号: 4, 页码: 1043-1057
作者:  Wen, Xiaohu;  Feng, Qi;  Lu, Jian;  Wu, Jun;  Wu, Min;  Guo, Xiaoyan
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Groundwater Nitrate Pollution  Source Identification  Dual Nitrate Isotopes  Hierarchical Cluster Analysis  Stable Isotope Analysis In r Model