Comparison of ordinary kriging and artificial neural network for spatial mapping of arsenic contamination of groundwater

Stochastic Environmental Research and Risk Assessment

Volumn 24, Issue 1, 2010, Pages 1-7

  Chowdhury, Mohammad ^a   Alouani, Ali ^a   Hossain, Faisal ^a  

^a Tennessee Technological University   (United States)

Author keywords

Arsenic contamination; Artificial neural networks; Bangladesh; Ordinary kriging; Spatial mapping; Uncertainty

Indexed keywords

ARSENIC CONTAMINATION; ARTIFICIAL NEURAL NETWORK; BANGLADESH; ORDINARY KRIGING; SPATIAL MAPPING;

ARSENIC; CONTAMINATION; GROUNDWATER; GROUNDWATER POLLUTION; LEARNING ALGORITHMS; MAPPING;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARSENIC; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; GROUNDWATER POLLUTION; INTERPOLATION; KRIGING; MAPPING METHOD; UNCERTAINTY ANALYSIS; VARIOGRAM;

BANGLADESH;

EID: 77949775396     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-008-0296-5     Document Type: Article

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