Artificial neural network prediction of sulfate and SAR in an unconfined aquifer in southeastern Turkey

Environmental Earth Sciences

Volumn 67, Issue 4, 2012, Pages 1111-1119

  Yesilnacar, M Irfan ^a   Sahinkaya, Erkan ^b  

^a HARRAN UNIVERSITY   (Turkey)

^b ISTANBUL MEDENIYET UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; GAP Project; Groundwater quality; Harran Plain; SAR; Sulfate

Indexed keywords

GAP PROJECT; GROUND-WATER QUALITIES; HARRAN PLAIN; SAR; SULFATE;

AQUIFERS; BACKPROPAGATION ALGORITHMS; CHLORINE COMPOUNDS; COST EFFECTIVENESS; ELECTRIC CONDUCTIVITY; GROUNDWATER RESOURCES; HYDROGEOLOGY; IRRIGATION; NEURAL NETWORKS; OPTIMIZATION; SULFUR COMPOUNDS; WATER QUALITY;

GROUNDWATER POLLUTION;

ALGORITHM; AQUIFER POLLUTION; ARTIFICIAL NEURAL NETWORK; CHLORIDE; CONCENTRATION (COMPOSITION); COST-BENEFIT ANALYSIS; ENVIRONMENTAL MONITORING; NUMERICAL MODEL; POLLUTION EFFECT; PREDICTION; RURAL AREA; SULFATE; SYNTHETIC APERTURE RADAR; TEMPERATURE EFFECT; VULNERABILITY; WATER DEMAND; WATER QUALITY;

HARRAN PLAIN; TURKEY; URFA;

EID: 84867099624     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-012-1555-9     Document Type: Article

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