Analysis of drought and storage for Mula project using ANN and stochastic generation models

Hydrology Research

Volumn 40, Issue 1, 2009, Pages 79-91

  Awchi, Taymoor A ^a   Srivastava, D K ^b  

^a UNIVERSITY OF MOSUL   (Iraq)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Drought; Inflow generation; Neural networks; Stochastic; Storage; Thomas fiering model

Indexed keywords

BACKPROPAGATION; DROUGHT; FEEDFORWARD NEURAL NETWORKS; FLOW SIMULATION; MULTILAYER NEURAL NETWORKS; RANDOM PROCESSES; STOCHASTIC MODELS; WATER RESOURCES; WATER SUPPLY;

ARTIFICIAL NEURAL NETWORK MODELS; HYBRID MODELS; HYDROLOGICAL PROCESS; INFLOW GENERATION; IRRIGATION PROJECTS; MAHARASHTRA , INDIA; MODEL RESULTS; MULTILAYER FEEDFORWARD ARTIFICIAL NEURAL NETWORKS; OTHER STATISTICS; STOCHASTIC; STOCHASTIC GENERATIONS; STORAGE; STREAMFLOW; THOMAS-FIERING MODEL; TWO COMPONENTS; WATER RESOURCES SYSTEMS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; DROUGHT; FLOW MODELING; GEOSTATISTICS; INFLOW; STOCHASTICITY; STREAMFLOW; WATER MANAGEMENT; WATER RESOURCE; WATER STORAGE;

ASIA; EURASIA; INDIA; MAHARASHTRA; SOUTH ASIA;

EID: 59349109204     PISSN: 00291277     EISSN: None     Source Type: Journal    
DOI: 10.2166/nh.2009.012     Document Type: Article

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