Mine drainage is increasingly becoming a problem in the UK as water tables rise and acid drainage waters rich in heavy metals impact river systems. The impacts of mine drainage at two sites, the River Pelenna in Wales and the Wheal Jane Mine in Cornwall is assessed. Mathematical models have been developed and applied to investigate heavy metal pollution in the Pelenna case study and the models ...

In this study, applicability of Artificial Neural Network (ANN) methods for river flow estimation is investigated. Accurate modeling and forecasting of hydrological processes such as rainfall, rainfall-run off relationship, runoff, is important for management and planning of water resources. To illustrate the capability of ANN for modeling of water resources, Great Menderes River, locate in the...

some macroinvertebrate indices of stream health have been identified as most useful and efficacious. management decisions can be made with greater awareness.the objectives of this study were to assess the biological water of the hazar river using macroinvertebrates.the haraz river is one of the best freshwater ecosystems in the mazandaran province located in the north of iran.to assess the macr...

The present study describes the hydrochemistry of ground waters found in Mesta River Basin, located south-western part Bulgaria. groundwater’s composition can be expressed as follows: Ca2+ > Na+ Mg2+ K+; K+ equivalent units for cations, and HCO3– SO42– Cl– anions. chemical studied groundwater described calcium-bicarbonate. calcium ions make up from 17.90% to 38.62% (30.18% on average), bicar...

A methodology based on adaptive ANN models is proposed for flood routing in river systems. The proposed methodology is capable of modeling both converging and diverging river networks. A Multilayer Perceptron Network (MLP), a Recurrent Neural Network (RNN), a Time Delay Neural Network (TDNN) and a Time Delay Recurrent Neural Network (TDRNN) are applied in this study. An Adaptive training proced...