Flood hydrograph simulation is affected by uncertainty in Rainfall – Runoff )RR( parameters. Uncertainty of RR parameters in Gharasoo catchment, part of the great Karkheh river basin, is evaluated by Monte–Carlo (MC) approach. A conceptual-distributed model, called ModClark, was used for basin simulation, in which the basin’s hydrograph was determined using the superposition of runoff generated...

Considering the importance of water and computing the amount of rainfall runoff resulted from precipitation in recent decades, using appropriate methods for predicting the amount of runoff from rainfall date has been really essential. Rainfall-runoff models are used to estimate runoff generated from precipitation in the catchment area. Rainfall-runoff process is totally a non-linear phenomenon....

Conceptual models have been widely used and are considered to be the best choice for describing the runoff process in a watershed. In most cases, the solution accuracy is mainly based on the topographic and hydrologic information subject to certain requirements for model calibration. Thus, these types of model are inappropriate for watershed area with little hydrologic data. Artificial neural n...

Many recent studies have been devoted to the investigation of the nonlinear dynamics of rainfall or streamflow series based on methods of dynamical systems theory. Although finding evidence for the existence of a low-dimensional deterministic component in rainfall or streamflow is of much interest, not much attention has been paid to the nonlinear dependencies of the two and especially on how t...

The need for accurate modeling of rainfall-runoff-sediment processes has grown rapidly in the past decades. This study investigates the efficiency of black-box models including Artificial Neural Network (ANN) and Autoregressive Integrated Moving Average with eXogenous input (ARIMAX) models for forecasting the rainfall-runoff-sediment process. According to the complex behavior of the rainfall-ru...

One of the major problems confronted by the hydrologists for many years is the prediction of runoff from a given basin for a known rainfall. In this situation, development of a rainfall runoff model is important in Veeranam tank catchment located at latitude 11° 15’00” and longitude 79° 30’00’ E in Cuddalore District of Tamilnadu, India. By considering the above said aspect the rainfall-runoff ...

Water quality impacts due to non-point source pollution can be significant particularly in environmentally sensitive areas. They may, however, be difficult to quantify, since the magnitude is heavily influenced by climatic, geomorphologic, lithologic and pedologic characteristics. A conceptual model for continuous daily simulation is proposed to reproduce the quali-quantitative response of a Si...

i-Tree Streets/Design and Eco estimate annual rainfall interception by urban forest based on different physics-based water balance models. Streets/Design is based on Xiao et al. (1998), while Eco is based on Wang et al. (2008) and improved by Hirabayashi (2013). In Xiao et al. (1998), annual rainfall interception percentage against the gross precipitation in Sacramento County, CA was estimated ...

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...