Combining particle-tracking and geochemical data to assess public supply well vulnerability to arsenic and uranium

Journal of Hydrology

Volumn 376, Issue 1-2, 2009, Pages 132-142

  Hinkle, Stephen R ^a   Kauffman, Leon J ^a   Thomas, Mary Ann ^a   Brown, Craig J ^a   McCarthy, Kathy A ^a   Eberts, Sandra M ^a   Rosen, Michael R ^a   Katz, Brian G ^a  

^a U S GEOLOGICAL SURVEY   (United States)

Author keywords

Arsenic; Classification tree analysis; Particle tracking; Principal components analysis; Uranium; Vulnerability

Indexed keywords

ANTHROPOGENIC CONTAMINANTS; AQUIFER SYSTEMS; ARSENIC CONCENTRATION; CATEGORICAL MODEL; CLASSIFICATION TREE ANALYSIS; CLASSIFICATION TREE MODEL; DIFFERENT MODES; GEOCHEMICAL DATA; GEOCHEMICAL REACTION; GROUNDWATER MANAGEMENT; LEARNING DATA; NATURAL CONTAMINANTS; PARTICLE-TRACKING; PRINCIPAL COMPONENTS ANALYSIS; PUBLIC SUPPLY WELLS; QUANTITATIVE SCREENING; SOLID-PHASE; SPEARMAN CORRELATION; STATISTICAL SIGNIFICANCE; STUDY AREAS; TESTING DATA; URANIUM CONCENTRATION; VULNERABILITY; WATER FLUX; WATER RESIDENCE TIME;

ANALYTICAL GEOCHEMISTRY; AQUIFERS; ARSENIC; CONCENTRATION (PROCESS); GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; HYDROGEOLOGY; LEAD; TRANSURANIUM ELEMENTS; URANIUM; WATER ANALYSIS; WATER MANAGEMENT; WATER WELLS;

PRINCIPAL COMPONENT ANALYSIS;

ANTHROPOGENIC SOURCE; ARSENIC; FLOW MODELING; HYDROGEOCHEMISTRY; HYPOTHESIS TESTING; MANAGEMENT PRACTICE; PRINCIPAL COMPONENT ANALYSIS; REDOX CONDITIONS; STATISTICAL ANALYSIS; URANIUM; VULNERABILITY; WATER MANAGEMENT; WATER RESOURCE; WELL;

NORTH AMERICA; UNITED STATES;

EID: 69949108745     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.07.020     Document Type: Article

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