A thorough data analysis combined with groundwater modelling was conducted in an Austrian binary karst aquifer to better understand changes in the hydrological behaviour observed at a karst spring. During a period of 4 years after a major flood event the spring hydrograph appears to be more damped with lower peak flow and higher baseflow than in the years before. The analysis of the hydrograph ...

A hybrid, seasonal, Markov chain-based model is formulated for daily streamflow generation at multiple sites of a watershed. Diurnal increments of the rising limb of the main channel hydrograph were stochastically generated using fitted, seasonally varying distributions in combination with an additive noise term, the standard deviation of which depended linearly on the actual value of the gener...

[1] Source waters and flow paths of streamflow draining high-elevation catchments of the Colorado Rocky Mountains were determined using isotopic and geochemical tracers during the 1996 snowmelt runoff season at two subcatchments of the Green Lakes Valley, Colorado Front Range. A two-component hydrograph separation using dO indicates that new water dominated (82 ± 6%) streamflow at the 8-ha Mart...

It is widely accepted that spring hydrographs are an effective tool for evaluating the internal structure of karst aquifers because they depict response whole aquifer to recharge events. The hydrograph affected by various factors such as flow regime, geometry, type recharge, and hydraulic properties conduit. However, effect conduit network geometry received less attention required more comprehe...

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...

James C.Y. Guo, PhD, P.E. Professor, Department of Civil Engineering, University of Colorado at Denver, Denver, Colorado 80204. E-mail: [email protected] ___________________________________________________________________________________________ Abstract: A semi-virtual watershed model is presented in this study. This model places the design rainfall distribution on the input layer and t...

This study describes and interprets the evolution of grain-size distribution of sediment yields generated in an experimental soil flume subjected to downstream and upstream moving rain storms. Results of laboratory experiments show that downstream moving storms cause more soil loss than do upstream moving storms. The pattern of sediment grain-size evolution in time during a runoff event exhibit...