Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …

Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …

The management of water resources depends heavily on hydrological prediction, and
advances in machine learning (ML) present prospects for improving predictive modelling …

Abstract Machine learning (ML) techniques are often employed for the accurate prediction of
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …

Biomass waste-derived porous carbons (BWDPCs) are a class of complex materials that are
widely used in sustainable waste management and carbon capture. However, their diverse …

The increasing demand for renewable energy sources has driven the research and
development of biogas production as a sustainable and efficient solution. Biogas production …

Accurate precipitation (P) short-term forecasts are important for engineering studies and
water allocation. This study evaluated a method for bias correction of the Numerical Weather …

Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important areas for
landslide prevention and mitigation in China. Rational reliability analysis of reservoir slope …

Modeling potential evapotranspiration (ET0) is an important issue for water resources
planning and management projects involving droughts and flood hazards …

Precise reference evapotranspiration (ETo) estimation and prediction are the first steps to
realize efficient agricultural water resources management. As machine learning methods are …