The need for accurate predictions of water quality in rivers has encouraged researchers to
develop new methods and to improve the predictive ability of conventional models. In recent …

Accurate and reliable water resources planning and management to ensure sustainable use
of watershed resources cannot be achieved without precise and reliable models …

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 …

Many recent studies propose wavelet-based hydrological and water resources forecasting
models that have been incorrectly developed and that cannot properly be used for real …

Water quality index is a measure of water quality at a certain location and over a period of
time. High value indicates that the water is unsafe for drinking and inadequate in quality to …

In this paper, a two-level self-organizing map (SOM) clustering technique was used to
identify spatially homogeneous clusters of precipitation satellite data, and to choose the …

An accurate model for sediment prediction is a priority for all hydrological researchers. Many
conventional methods have shown an inability to achieve an accurate prediction of …

Soil permeability is an important parameter for assessment of infiltration, runoff, ground
water, drainage and structures design. In the current research, five different data driven …

The present research work focused on predicting the electrical conductivity (EC) of surface
water in the Upper Ganga basin using four machine learning algorithms: multilayer …

In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two
artificial intelligence-based models along with conventional multiple linear regression model …