Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods

Sustainable Water Resources Management

Volumn 2, Issue 1, 2016, Pages 87-101

  Belayneh, A ^a   Adamowski, J ^b   Khalil, B ^b  

^a CARLETON UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Africa; Artificial neural networks; Autoregressive models; Drought forecasting; Standard precipitation index; Support vector regression; Wavelet analysis

Indexed keywords

AGRICULTURAL ROBOTS; DROUGHT; MACHINE LEARNING; RIVERS; SUPPORT VECTOR REGRESSION; WATERSHEDS; WAVELET ANALYSIS; WAVELET TRANSFORMS; WEATHER FORECASTING;

DATA-DRIVEN MODEL; DROUGHT INDICES; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; PERFORMANCE MEASURE; STANDARD PRECIPITATION INDICES; SUPPORT VECTOR REGRESSION (SVR); WAVELET NEURAL NETWORKS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; DROUGHT; FORECASTING METHOD; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); REGRESSION ANALYSIS; TRANSFORM; WAVELET ANALYSIS;

AWASH BASIN; ETHIOPIA;

EID: 85088154740     PISSN: 23635037     EISSN: 23635045     Source Type: Journal    
DOI: 10.1007/s40899-015-0040-5     Document Type: Article

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