Regional estimation of groundwater arsenic concentrations through systematical dynamic-neural modeling

Journal of Hydrology

Volumn 499, Issue , 2013, Pages 265-274

  Chang, Fi John ^a   Chen, Pin An ^a   Liu, Chen Wuing ^a   Liao, Vivian Hsiu Chuan ^a   Liao, Chung Min ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Arsenic (As); Bayesian regularization; Gamma test; Groundwater quality; Indicator kriging; NARX network

Indexed keywords

BAYESIAN REGULARIZATION; GAMMA TEST; GROUND-WATER QUALITIES; INDICATOR KRIGING; NARX NETWORK;

ARSENIC; ESTIMATION; GROUNDWATER; HEALTH RISKS; INTERPOLATION; MAPS; MEAN SQUARE ERROR; NEURAL NETWORKS; SPACE DIVISION MULTIPLE ACCESS; WATER POLLUTION; WATER QUALITY; WATER RESOURCES; WATER SUPPLY;

INFORMATION MANAGEMENT;

ARSENIC; ARTIFICIAL NEURAL NETWORK; BAYESIAN ANALYSIS; CONCENTRATION (COMPOSITION); DRINKING WATER; ESTIMATION METHOD; GROUNDWATER POLLUTION; GROUNDWATER RESOURCE; KRIGING; NUMERICAL MODEL; PUBLIC HEALTH; RESOURCE MANAGEMENT; SPATIAL VARIATION; TEMPORAL VARIATION; WATER QUALITY; WORLD HEALTH ORGANIZATION;

TAIWAN;

EID: 84881097497     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.07.008     Document Type: Article

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