Modeling simultaneous exceedance of drinking-water standards of arsenic and nitrate in the Southern Ogallala aquifer using multinomial logistic regression

Journal of Hydrology

Volumn 458-459, Issue , 2012, Pages 16-27

  Venkataraman, Kartik ^a   Uddameri, Venkatesh ^a  

^a Texas AandM University Kingsville   (United States)

Author keywords

Arsenic; Land use; Logistic regression; Nitrate; Ogallala aquifer; Receiver operating characteristics

Indexed keywords

ADVERSE HEALTH EFFECTS; AGRICULTURAL ACTIVITIES; AGRICULTURAL AREAS; ANTHROPOGENIC ACTIVITY; AQUIFER PROPERTIES; ELEVATED LEVEL; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; MARGINAL PROBABILITY; MULTINOMIAL LOGISTIC REGRESSION; MULTINOMIAL MODEL; OPERATING CHARACTERISTICS; PREDICTIVE CAPACITY; RECEIVER OPERATING CHARACTERISTICS; SHALLOW SUBSURFACE; SPATIAL TRENDS;

AGRICULTURE; AQUIFERS; FORECASTING; HYDROGEOLOGY; LAND USE; LOGISTICS; NITRATES; REGRESSION ANALYSIS; RURAL AREAS; WELLS;

ARSENIC;

ACCURACY ASSESSMENT; AGRICULTURAL PRACTICE; ARSENIC; DRINKING WATER; HEALTH IMPACT; HUMAN ACTIVITY; LAND USE CHANGE; NATURE-SOCIETY RELATIONS; NITRATE; NUMERICAL MODEL; REGRESSION ANALYSIS; STANDARD (REGULATION); WELL WATER;

GREAT PLAINS; OGALLALA AQUIFER; TEXAS; UNITED STATES;

EID: 84864299587     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.06.028     Document Type: Article

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