Predicting the risk of arsenic contaminated groundwater in Shanxi Province, Northern China

Environmental Pollution

Volumn 165, Issue , 2012, Pages 118-123

  Zhang, Qiang ^a   Rodríguez Lado, Luis ^b   Johnson, C Annette ^b   Xue, Hanbin ^b   Shi, Jianbo ^c   Zheng, Quanmei ^a   Sun, Guifan ^a  

^a CHINA MEDICAL UNIVERSITY   (China)

^b SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^c RESEARCH CENTER FOR ECO ENVIRONMENTAL SCIENCES   (China)

Author keywords

Arsenicosis; Geogenic pollution; Logistic regression; Spatial modeling

Indexed keywords

ARSENICOSIS; CONTAMINATED GROUNDWATER; DATA SETS; EXPLANATORY VARIABLES; GEOGENIC; HIGH POTENTIAL; HYDROLOGIC PARAMETERS; LOGISTIC REGRESSIONS; NORTHERN CHINA; REMOTE SENSING INFORMATION; RISK AREAS; SPATIAL MODELING; SPATIAL MODELS; STATISTICAL RELATIONSHIP;

ARSENIC; GROUNDWATER; LOGISTICS; REGRESSION ANALYSIS; REMOTE SENSING;

RISK PERCEPTION;

ARSENIC; GROUND WATER;

ARSENIC; DATA SET; GROUNDWATER POLLUTION; NUMERICAL MODEL; PREDICTION; REGRESSION ANALYSIS; RISK ASSESSMENT; SPATIAL ANALYSIS; TWO-DIMENSIONAL MODELING;

CHEMICAL ANALYSIS; CHINA; CONCENTRATION (PARAMETERS); CONFERENCE PAPER; CONTROLLED STUDY; ECOTOXICITY; ENVIRONMENTAL MONITORING; GEOGRAPHIC DISTRIBUTION; GEOLOGY; GRAVITY SENSING; INTERMETHOD COMPARISON; OUTCOME ASSESSMENT; PREDICTION; PROCESS OPTIMIZATION; REFERENCE VALUE; REMOTE SENSING; RISK ASSESSMENT; RISK FACTOR; SURFACE WATER HYDROLOGY; TOPOGRAPHY; VALIDATION PROCESS; WATER CONTAMINATION;

CHINA; ENVIRONMENTAL MONITORING; GROUNDWATER; LOGISTIC MODELS; MODELS, CHEMICAL; RISK ASSESSMENT; WATER POLLUTANTS, CHEMICAL; WATER POLLUTION, CHEMICAL;

CHINA; SHANXI;

EID: 84862817303     PISSN: 02697491     EISSN: 18736424     Source Type: Journal    
DOI: 10.1016/j.envpol.2012.02.020     Document Type: Conference Paper

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