Int.J.Curr.Microbiol.App.Sci (2017) 6(11): 3822-3826 3822 Original Research Article https://doi.org/10.20546/ijcmas.2017.611.449 Modeling of Runoff using Curve Expert for Dachigam-Telbal Catchment of Kashmir Valley, India Mehlath Shah, Syed Midhat Fazil, Syed Rouhullah Ali*, Yogesh Pandey, Shahzad Faisal and Iqra Mehraj Division of Agricultural Engineering, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir-190025, India *Corresponding author ABSTRACT Introduction Environmental problems are caused by the increasing number and intensity of floods and flash flood events, taking a high human and economic toll (Smith and Ward, 1998; Villarini et al., 2010). In the pertaining period, numerous new tools and programs for flood forecasting systems and risk management plans have been developed (Chao et al., 2008; Romanowicz et al., 2008; Cloke and Pappenberger, 2009; Tiwari and Chatterjee, 2010; Villarini et al., 2010).Runoff is the most basic and important data needed when planning water control strategies/practices, such as, waterways, storage facilities or erosion control structures (Austin, 2006). The estimation of runoff depends upon number of factors related to rainfall properties, geomorphologic characteristics of catchment and cover management (King, 2000). These parameters are not available readily and thus rainfall amount is used. The rainfall amount can be used as a single input factor determining the volume of runoff for selected catchment (Dachigam-Telbal). Among different hydrologic processes, runoff is a single important process that influences several of the soil and water management decisions and International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 11 (2017) pp. 3822-3826 Journal homepage: http://www.ijcmas.com The study were attempted to develop prediction models for runoff using rainfall as single predictor. An outline for a complete synthetic rainfall-runoff database was developed to study catchment response to a variety of rainfall events. Dachigam- Telbal catchment was chosen as study site and records of rainfall amount and runoff were organized and analyzed. For runoff, regression analysis was done in different ways to develop model that can predict runoff by using rainfall as single variable as it is one hydrological parameter which is recorded in most parts of the country. Curve expert 2.0 was used to generate these models. The attempt to develop runoff prediction model with rainfall as single input variable, exhibited high promise for monthly analysis with higher value of coefficient of determination i.e. R 2 =0.95, and lower standard error of estimation i.e. S=0.36, under regression analysis. Keywords Catchment, Curve expert 2.0, Rainfall, Regression analysis, Runoff. Accepted: 28 September 2017 Available Online: 10 November 2017 Article Info