Modelling rainfall-runoff processes in urban catchments has become an increasingly relevant issue, for instance to estimate the risk associated with urban flooding in densely populated areas. This needs hydrological models which, besides rainfall information, require good input data of detailed surface characteristics, such as imperviousness to accurately predict rainfall-runoff. One way to obt...

This study explores the decomposition of predictive uncertainty in hydrological modeling into its contributing sources. This is pursued by developing data-based probability models describing uncertainties in rainfall and runoff data, and incorporating them into the Bayesian Total Error Analysis methodology (BATEA). A case study based on the Yzeron catchment (France) and the conceptual rainfall-...

Soil Conservation Service (SCS) and overland flow models have been used for runoff modeling over major land mass of India. Remote sensing derived daily rainfall data (Climate Prediction Centre), high temporal NDVI data (SPOT VGT), DEM (GTOPO30) and soil texture maps were used as input for the runoff modeling. SCS model setup was done in GIS (Arc GIS) environment. In general the reported and mod...

Darrin J. Greenstein, Liesl L.Tiefenthaler, and Steven M. Bay ABSTRACT Stormwater runoff is an important source of toxic substances to the marine environment, but the effects of antecedent dry period, rainfall intensity, and duration on the toxicity of runoff are not well understood. In this study, simulated rainfall was applied to parking lots to examine the toxicity of runoff while controllin...

This study uses a stochastic ensemble-based representation of satellite rainfall error to predict the propagation in flood simulation of three quasi-global-scale satellite rainfall products across a range of basin scales. The study is conducted on the Tar-Pamlico River basin in the southeastern United States based on 2 years of data (2004 and 2006). The NWSMultisensor Precipitation Estimator (M...

runoff collect used for to minimize losses and strengthen water resources in watersheds.countries like some areas of iran are facing to water scarcity, faced with unsuitable distribution of rainfall. by expanding the use of water sources, using the principles of runoff from rainfall can be effective to solve the problem of water shortage.in order to estimate the runoff in watershedsthere are se...

Dissolved phosphorus (P) in runoff from surface-applied fertilizers can be relatively great, but commonly used, field or watershed-scale computer models often do not simulate direct transfer of fertilizer P to runoff. Using data from our own simulated rainfall experiments and published runoff studies, we developed a simplemodel to predict fertilizer P release during rain and the concentration o...

The application of artificial neural network (ANN) methodology for modelling daily flows during monsoon flood events for a large size catchment of the Narmada River in Madhya Pradesh (India) is presented. The spatial variation of rainfall is accounted for by subdividing the catchment and treating the average rainfall of each subcatchment as a parallel and separate lumped input to the model. A l...