There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

Water quality prediction plays an important role in environmental monitoring, ecosystem
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …

With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …

This study is a review to the special issue on artificial intelligence (AI) methods for
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …

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 …

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 …

Accurate estimation of viscosity, one of the most important thermo-physical properties of
nanofluids, is essential in heat transfer fluid applications in many industries. In this paper, for …

Precise estimation of physical hydrology components including groundwater levels (GWLs)
is a challenging task, especially in relatively non-contiguous watersheds. This study …

Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …

Electrical conductivity (EC), one of the most widely used indices for water quality
assessment, has been applied to predict the salinity of the Babol-Rood River, the greatest …