Improvement in area of artificial intelligence for predicting different hydrological
phenomenon has shaped an enormous alteration in predictions. Knowledge on suspended …

The rapid development of nanotechnology has stimulated the use of silver nanoparticles
(AgNPs) in various fields that leads to their presence in different ecosystem compartments …

Wavelet based flood forecasting models are known to perform better than conventional
models, yet the effect of the way wavelet components are combined to develop a model on …

The accurate estimation of suspended sediments (SSs) carries significance in determining
the volume of dam storage, river carrying capacity, pollution susceptibility, soil erosion …

Simulation approaches employed in sediment processes are important for watershed
management and environmental impact assessment. Use of Stochastic models that based …

Modelling source water quality in drinking water treatment systems could be useful for
anticipating changes in specific raw water quality parameters. Those changes entail …

Statistical and wavelet analysis of water quality parameters COD (chemical oxygen
demand), BOD (biochemical oxygen demand), DO (dissolved oxygen), WT (water …

One of the most uncertain modeling tasks in hydrology is the prediction of ungauged stream
sediment load and concentration statistics. This study presents integrated artificial neural …

The prediction of water quality parameters plays an important role in water resources and
environmental systems. The use of electrical conductivity (EC) as a water quality indicator is …

Concern on alteration of sediment natural flow caused by developments of water resources
system, has been addressed in many river basins around the world especially in developing …