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中国科学院地球化学研究所机构知识库
Knowledge Management System Of Institute of Geochemistry,CAS
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环境地球化学国家重点... [4]
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Cai Li [1]
Fu-Jun Yue [1]
Jing Liu [1]
Jun Zhong [1]
Ruo-Chun Z... [1]
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Journal ar... [4]
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2019 [4]
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Indexed By:SCI
Source Publication:Science of the Total Environment
Date Issued:2019
Language:英语
Community:环境地球化学国家重点实验室
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Cadmium stable isotope variation in a mountain area impacted by acid mine drainage
期刊论文
Science of the Total Environment, 2019, 卷号: 646, 页码: 696–703
Authors:
Wen-Jun Yang
;
Keng-Bo Ding
;
Peng Zhang
;
Hao Qiu
;
Christophe Cloquet
;
Han-Jie Wen
;
Jean-Louis Morel
;
Rong-Liang Qiu
;
Ye-Tao Tang
Adobe PDF(1547Kb)
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View/Download:297/0
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Submit date:2019/06/03
Cadmium Isotope
rivers
trace Metal
source
acid Mine Drainage
Deposition flux and mass inventory of polychlorinated biphenyls in sediments of the Yangtze River Estuary and inner shelf, East China Sea: Implications for contributions of large-river input and e-was
期刊论文
Science of the Total Environment, 2019, 卷号: 647, 页码: 1222–1229
Authors:
Tiange Zhao
;
Zhigang Guo
;
Peng Yao
;
Limin Hu
;
Zilan Wu
;
Tian Lin
Adobe PDF(2216Kb)
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View/Download:348/0
  |  
Submit date:2019/06/12
Coastal East China Sea
deposition Flux
mass Inventory
pcbs
Large-river dominated black carbon flux and budget: A case study of the estuarine-inner shelf of East China Sea, China
期刊论文
Science of the Total Environment, 2019, 卷号: 651, 页码: 2489–2496
Authors:
Yin Fang
;
Yingjun Chen
;
ming Luo
;
Jun Li
;
Gan Zhang
;
Limin Hu
;
Chongguo Tian
;
YongMei Zheng
;
Tian Lin
Adobe PDF(2173Kb)
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View/Download:259/0
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Submit date:2019/06/12
Carbon Cycle
black Carbon
riverine Discharge
yangtze River
east China Sea
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
Adobe PDF(2917Kb)
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View/Download:393/0
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Submit date:2019/06/03
Nitrate Isotopes
source Apportionment
denitrification
bayesian Model
xijiang River