Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco - Bargam, Bouchra; Boudhar, Abdelghani; Kinnard, Christophe; Bouamri, Hafsa; Nifa, Karima; Chehbouni, Abdelghani (Discover applied sciences, 2024)
Keywords: Algorithms; Applied and Technical Physics; Arid zones; Artificial intelligence; Basins; Chemistry/Food Science; Drought; Earth Sciences; Engineering; Environment; Geographic information systems; Hydrology; Learning algorithms; Machine learning; Materials Science; Mountains; Neural networks; Precipitation; Predictions; Regression; Resource management; River basins; Root-mean-square errors; Runoff; Semi arid areas; Semiarid zones; Stream discharge; Stream flow; Streamflow forecasting; Support vector machines; Water resources; Water resources management; Watersheds; Wavelet transforms; Morocco; Atlas Mountains; Streamflow prediction; Machine learning techniques; Support vector regression (SVR); Temporal variability of streamflow; Semi-arid regions; Water resources