in iran, most mountainous watersheds do not have enough hydrometery stations and defective stations have sparse data. because of limited availability of hydrologic data, watershed modeling plays a crucial role in development of local resources. in this study, swat was applied to simulate runoff in marun dam (idanak) watershed, a sub-basin of marun catchment. calibration and sensivity analyses w...

The artificial neural networks (ANNs) have been applied to various hydrologic problems recently. This research demonstrates static neural approach by applying Multilayer perceptrons neural network and Radial basis function neural network to rainfall-runoff modeling for the upper area of Wardha River in India. The model is developed by processing online data over time using static modeling. Meth...

Soil and water conservation measures can impact hydrological cycle, but quantitative analysis of this impact is still difficult in a watershed scale. To assess the effect quantitatively, a three-dimensional finite-difference groundwater flow model (MODFLOW) with a surface runoff model-the Soil Conservation Service (SCS) were calibrated and applied based on the artificial rainfall experiments. T...

accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have been develop...

Field runoff is an important transport mechanism by which pesticides move into the hydrologic environment of intensive agricultural regions such as California's Central Valley. This study presents a spatially explicit modeling approach to extend Pesticide Root Zone Model (PRZM), a field-scale pesticide transport model, into basin level. The approach was applied to simulate chlorpyrifos use in t...

Ice-wedge polygons and related microtopographic variations are ubiquitous to landscapes underlain by permafrost. Highand low-centered polygons are typical but surprisingly, their role on hydrologic fluxes and stocks is not well quantified. We performed hydrologic modeling analyses using the physically-based model WaSiM-ETH that was forced by data from the Biocomplexity Experiment, Barrow, Alask...