Investigating hydrochemical groundwater processes in an inland agricultural area with limited data: A clustering approach

Water (Switzerland)

Volumn 9, Issue 9, 2017, Pages

  Wu, Xin ^a   Zheng, Yi ^b,c   Zhang, Juan ^b   Wu, Bin ^a   Wang, Sai ^a   Tian, Yong ^b,c   Li, Jinguo ^a   Meng, Xue ^a  

^a PEKING UNIVERSITY   (China)

^b SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control   (China)

Author keywords

Fuzzy clustering; Gaussian mixture model; Groundwater; Heihe River Basin; Hydrochemical processes; Regionalization

Indexed keywords

AGRICULTURAL ROBOTS; AGRICULTURE; CLUSTERING ALGORITHMS; COST EFFECTIVENESS; GAUSSIAN DISTRIBUTION; GROUNDWATER; SURFACE WATERS; WATER QUALITY;

AGRICULTURAL DEVELOPMENT; ANTHROPOGENIC INFLUENCE; GAUSSIAN MIXTURE MODEL; GROUNDWATER CHEMISTRY; GROUNDWATER MONITORING; HYDROCHEMICAL PROCESS; SALINIZATION PROCESS; SURFACE WATER-GROUNDWATER INTERACTION;

HYDROCHEMISTRY;

EID: 85040798421     PISSN: None     EISSN: 20734441     Source Type: Journal    
DOI: 10.3390/w9090723     Document Type: Article

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