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Geochemical behaviors of antimony in mining-affected water environment (Southwest China) 期刊论文
Environmental Geochemistry and Health, 2019, 卷号: 41, 页码: 2397–2411
Authors:  Ling Li;  Han Tu;   Shui Zhang;  Linna Wu;  Min Wu;  Yang Tang;  Pan Wu
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Antimony  migration  adit Water  mine Waste  
Land use interacts with changes in catchment hydrology to generate chronic nitrate pollution in karst waters and strong seasonality in excess nitrate export 期刊论文
Science of The Total Environment, 2019, 卷号: 696, 页码: 1-8
Authors:  Fu-Jun Yue;  Susan Waldron;  Si-Liang Li ;  Zhong-Jun Wang;  Jie Zeng;  Sen Xu;  Zhi-Cai Zhang;  David M. Oliver
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Chronic Nitrate Pollution  karst Critical zone  Nitrate sensor  Nitrate Export  
Spatiotemporal variations of dissolved inorganic carbon and controlling factors in a small karstic catchment, Southwestern China 期刊论文
Earth Surface Processes and Landforms, 2019, 页码: 1-14
Authors:  Caiqing Qin;  Si-Liang Li;   Fu-Jun Yue;  Sheng Xu;  Hu Ding
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Dissolved Inorganic Carbon  Carbon Isotope  Carbonate Weathering  Spatiotemporal Variations  Karstic Catchment  Southwestern China  
Electrical Conductivity of Omphacite as a Function of Water Content and Implications for High Conductivity Anomalies in the Dabie‐Sulu UHPM Belts and Tibet 期刊论文
Journal of Geophysical Research: Solid Earth, 2019, 页码: 12523-12536
Authors:  Baohua Zhang;  Chengcheng Zhao;  Jianhua Ge;  Takashi Yoshino
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An improved method for recovering and preconcentrating mercury in natural water samples for stable isotope analysis 期刊论文
Journal of Analytical Atomic Spectrometry, 2019, 卷号: 34, 期号: 11, 页码: 2303-2313
Authors:  Kai Li;  Che-Jen Lin;  Wei Yuan;  Guangyi Sun;  Xuewu Fu;  Xinbin Feng
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Identification of sources and transformations of nitrate in the Xijiang River using nitrate isotopes and Bayesian model 期刊论文
Science of the Total Environment, 2019, 卷号: 646, 页码: 801-810
Authors:  Cai Li;  Si-Liang Li;  Fu-Jun Yue;  Jing Liu;  Jun Zhong;  Zhi-Feng Yan;  Ruo-Chun Zhang;  Zhong-Jun Wang;  Sen Xu
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Nitrate Isotopes  source Apportionment  denitrification  bayesian Model  xijiang River