A wavelet neural network conjunction model for groundwater level forecasting

Journal of Hydrology

Volumn 407, Issue 1-4, 2011, Pages 28-40

  Adamowski, Jan ^a   Chan, Hiu Fung ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Artificial neural networks; Forecasting; Groundwater; Time series analysis; Wavelet transforms

Indexed keywords

ARIMA MODELS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODELS; AVERAGE TEMPERATURE; GROUNDWATER LEVEL FORECASTING; NETWORK MODELS; QUEBEC , CANADA; RELATIVE PERFORMANCE; RURAL WATER SUPPLY; SUSTAINABLE GROUNDWATER MANAGEMENT; SUSTAINABLE USE; TOTAL PRECIPITATION; WAVELET NEURAL NETWORKS;

AQUIFERS; DISCRETE WAVELET TRANSFORMS; FORECASTING; GROUNDWATER RESOURCES; HYDROGEOLOGY; LANDFORMS; TIME SERIES; TIME SERIES ANALYSIS; WATER MANAGEMENT; WATER SUPPLY; WATERSHEDS;

NEURAL NETWORKS;

AQUIFER; ARTIFICIAL NEURAL NETWORK; DATA SET; FORECASTING METHOD; HYDROLOGICAL MODELING; MODEL VALIDATION; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PRECIPITATION (CLIMATOLOGY); RURAL AREA; SUSTAINABILITY; TIME SERIES ANALYSIS; URBAN AREA; WATER LEVEL; WATER MANAGEMENT; WATER SUPPLY; WATER USE; WATERSHED; WAVELET ANALYSIS;

CANADA; CHATEAUGUAY BASIN; QUEBEC [CANADA];

EID: 80052027629     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.06.013     Document Type: Article

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