In recent years, fuzzy logic has emerged as a powerful technique in the analysis of
hydrologic components and decision making in water resources. Problems related to …

This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …

This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares–
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …

Accurate and reliable suspended sediment load (SSL) prediction models are necessary for
planning and management of water resource structures. More recently, soft computing …

Modeling suspended sediment load is an important factor in water resources engineering as
it crucially affects the design and management of water resources structures. In this study the …

Accurate prediction of lake-level variations is important for planning, design, construction,
and operation of lakeshore structures and also in the management of freshwater lakes for …

Difficulties are faced when formulating hydrological processes, including that of
evapotranspiration (ET). Conventional empirical methods for formulating these possess …

In the 21st century, groundwater depletion is posing a serious threat to humanity throughout
the world, particularly in developing nations. India being the largest consumer of …

Evapotranspiration, as a major component of the hydrological cycle, is of importance for
water resources management and development, as well as for estimating the water budget …

Pan evaporation (Ep) plays important roles in agricultural water resources management.
One of the basic challenges is modeling Ep using limited climatic parameters because there …