in recent years, dousti dam has been one of the most important mashhad’s sources of drinking water. in this way, 500 million cubic meters of the outflow of the dam enter into the mashhad watershed. with the arrival of this volume of water, the drinking water wells in the city were turned off. on the other hand, the development of some urban infrastructures such as the sewer collecting network d...

simulation of groundwater fluctuations plays a crucial role in management of watersheds and water demand balancing. recently, wavelet analysis has been used widely in time series decomposition and coupling with neural networks for hydrological modeling. in this paper, the ability of the wavelet-dynamic artificial neural networks (w-ann) model was applied in forecasting one-month-ahead of ground...

Generally, alluvial basins of arid and semiarid zones are the places with excessive groundwater withdrawal, and also they have a high potential for land subsidence. Excessive groundwater withdrawals have caused severe land subsidence in Tehran, Iran. At present, the maximum land subsidence rate is 36 cm/year, covering an area of nearly 530 km2. In the 2000s, as a result of economic and populati...

in this paper the risk of heavy metals discharged from the acidic sludge leachate into groundwater in a landfill located in fajr industrial area )garmsar( has been assessed using iwem software. acidic sludge as one of the industrial hazardous wastes is produced during purification of used oil with mienken )acidic( method. the concentrations of heavy metals )cd, ni, co, pb, zn, mn, cu( in the ac...

In this paper, the Artificial Neural Network (ANN) approach is applied for forecasting groundwater level fluctuation in Aghili plain,southwest Iran. An optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (GDM), levenberg marquardt (LM), resilient back propagation (RP), and scaled conjugate gradient (SCG). Rain,evaporation, relative...

The objective of this study was to identify chemical components that could distinguish chemical mixtures in oil sands process-affected water (OSPW) that had potentially migrated to groundwater in the oil sands development area of northern Alberta, Canada. In the first part of the study, OSPW samples from two different tailings ponds and a broad range of natural groundwater samples were assessed...