there is different methods for simulating river flow. some of thesemethods such as the process based hydrological models need multiple input data and high expertise about the hydrologic process. but some of the methods such as the regression based and artificial inteligens modelsare applicable even in data scarce conditions. this capability can improve efficiency of the hydrologic modeling in u...

Hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. The present study is an application of Sequential Gaussian Simulation (SGSim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of Behbahan aquifer, southwest of Iran. To generate real...

Hydrograph recession constants are required in rainfall-runoff models, base flow augmentation studies, geohydrologic investigations and in regional low-flow studies. The recession portion of a streamflow hydrograph is shown to be either an autoregressive process or an integrated moving average process, depending upon the structure of the assumed model errors. Six different estimators of the bas...

hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. the present study is an application of sequential gaussian simulation (sgsim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of behbahan aquifer, southwest of iran. to generate real...

Incorporation of Geographic Information Systems (GIS) into Unsupervised-Supervised Artificial Neural Networks (ANNs) was applied to quantify the similarity of watershed characteristics. The goal of this approach is to find the best match watershed from a large knowledge base of over one thousand quantifying watersheds and to determine the reliability of “transplant” watershed information during...

The article proposes an approach to forecasting mean temperature and total precipitation for the upcoming month, based on study of regularities influence statistical characteristics previous periods them. Among predictors, along with basic characteristics, we use fractality index which is indicator randomness/ determinism climate series. Within framework this approach, have developed models dif...

Hydrologic simulation employing computer models has advanced rapidly and computerized models have become essential tools for understanding human influences on river flows and designing ecologically sustainable water management approaches. The HEC-HMS is a reliable model developed by the US Army Corps of Engineers that could be used for many hydrological simulations. This model is not calibrated...