Wavelet analysis-artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an Arid Inland River Basin, northwestern China

Hydrology Research

Volumn 48, Issue 6, 2017, Pages 1710-1729

  Wen, Xiaohu ^a   Feng, Qi ^a   Deo, Ravinesh C ^b   Wu, Min ^a   Si, Jianhua ^a  

^a Chinese Academy of Sciences   (China)

^b UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

Author keywords

Arid environment; Artificial neural network; Discrete wavelet transforms; Forecasting; Groundwater level

Indexed keywords

DISCRETE WAVELET TRANSFORMS; FORECASTING; NEURAL NETWORKS; SIGNAL RECONSTRUCTION; WATERSHEDS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

ARID ENVIRONMENTS; ARID INLAND RIVER BASINS; DISCRETE WAVELET TRANSFORMATION; GROUNDWATER FORECASTING; GROUNDWATER LEVEL FORECASTING; MODEL PERFORMANCE; NORTHWESTERN CHINA; STATISTICAL MEASURES;

GROUNDWATER;

ARID REGION; ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; GROUNDWATER; MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; PREDICTION; RIVER BASIN; WATER LEVEL; WAVELET ANALYSIS;

CHINA; GANSU; ZHANGYE BASIN;

EID: 85037042999     PISSN: 19989563     EISSN: 22247955     Source Type: Journal    
DOI: 10.2166/nh.2016.396     Document Type: Article

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