Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India

Agricultural Water Management

Volumn 104, Issue , 2012, Pages 113-120

  Singh, A ^a   Imtiyaz, M ^b   Isaac, R K ^b   Denis, D M ^b  

^a UTTAR BANGA KRISHI VISWAVIDYALAYA   (India)

^b SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE   (India)

Author keywords

Hydrologic model; Measured sediment yield; Model calibration; Model validation; Water resources; Watershed hydrology

Indexed keywords

HYDROLOGIC MODELS; MEASURED SEDIMENT YIELD; MODEL CALIBRATION; MODEL VALIDATION; WATERSHED HYDROLOGY;

ANOXIC SEDIMENTS; CALIBRATION; GEOLOGIC MODELS; LANDFORMS; MANAGEMENT; MANAGERS; MATHEMATICAL MODELS; MULTILAYERS; NEURAL NETWORKS; RAIN; SEDIMENTOLOGY; SOILS; WATER CONSERVATION; WATER RESOURCES; WATERSHEDS;

COMPUTER SIMULATION;

ARTIFICIAL NEURAL NETWORK; CALIBRATION; HYDROLOGICAL MODELING; MODEL VALIDATION; NONPOINT SOURCE POLLUTION; SEDIMENT YIELD; SOIL CONSERVATION; SOIL WATER; STAKEHOLDER; WATER MANAGEMENT; WATER RESOURCE; WATERSHED;

DAMODAR VALLEY; HAZARIBAGH; INDIA; JHARKHAND;

EID: 84855825466     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2011.12.005     Document Type: Article

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