Predicting runoff producing areas and their corresponding risks of generating storm runoff is important for developing watershed management strategies to mitigate non-point source pollution. However, few methods for making these predictions have been proposed, especially operational approaches that would be useful in areas where variable source area (VSA) hydrology dominates storm runoff. The o...

ion is the removal of rain from surface runoff processes. In addition to infiltration, it includes surface depressional storage and vegetative interception, of which surface depressional storage is of greater importance. Initial abstraction is the surface depressional storage, vegetative interception and infiltration (Fs for the GAML model) prior to the start of runoff. Most of the total surfac...

This study presents a revised and calibrated Soil Conservation Service (SCS) curve number (CN) rainfall runoff model for predicting in Malaysia using new power correlation Ia = SL, where L represents the initial abstraction coefficient ratio. The traditional SCS-CN with proposed relation 0.2S is found to be unreliable, exhibits improved accuracy. emphasizes need design flood control infrastruct...

The Soil Conservation Service Curve Number (SCS-CN) method is widely used for predicting direct runoff volume for a given rainfall event. The applicability of the SCSCN method and the runoff generation mechanism were thoroughly analysed in a Mediterranean experimental watershed in Hyderabad. The region is characterized by a Mediterranean semi-arid climate. A detailed land cover and soil survey ...

The aim of this study is to determine runoff depth of the Van Lake basin by using remote sensing and geographic information system (GIS) integration. While determining the results we used various data sets such as Landsat satellite image, 1:25000 standard topographic map, and soil map data. Standard 1:25000 topographic maps were used to derive digital elevation model. Sub-basin area and physica...

In the Northeast US, saturation excess is the most dominant runoff process and locations of runoff source areas, typically called variable source areas (VSAs), are determined by the available soil water storage and the landscape topographic position. To predict runoff generated from VSAs some water quality models use the Soil Conservation Service Curve Number equation (SCS-CN), which assumes a ...

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 ...