Long term forecasting of groundwater levels with evidence of non-stationary and nonlinear characteristics

Computers and Geosciences

Volumn 52, Issue , 2013, Pages 422-436

  Maheswaran, R ^a   Khosa, Rakesh ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Groundwater level forecasting; Long term forecasting; Wavelets

Indexed keywords

AUTO-REGRESSIVE; COMPETING MODELS; COUPLED MODELS; GROUNDWATER LEVEL FORECASTING; GROUNDWATER SYSTEM; LONG-TERM FORECAST; LONG-TERM FORECASTING; MODEL RESULTS; NON-LINEAR MODEL; NONLINEAR CHARACTERISTICS; NONLINEAR FEATURES; NONSTATIONARY; TIME SERIES FORECASTING; VOLTERRA; WAVELET NEURAL NETWORKS; WAVELETS;

GROUNDWATER; NEURAL NETWORKS; WAVELET ANALYSIS;

FORECASTING;

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; GROUNDWATER; IDENTIFICATION METHOD; NUMERICAL MODEL; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; WATER LEVEL; WAVELET ANALYSIS;

CANADA;

EID: 84871523656     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2012.09.030     Document Type: Article

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