Physiographic Analysis of Tehri Dam Catchment and Development of GIUH Based Nash Model for Ungauged Rivers

Abstract

Advanced information about incoming flows is required for operation of a variety of hydraulic structures including multipurpose storage hydropower projects. Inflow forecasts are used for optimum power generation during non -monsoon season and operation of gates and spillways during the flood season. In order to develop an inflow forecasting system for a reservoir, it has been observed that many a times number of ungauged rivers directly falling into the reservoirs are not accounted for. Such is the case for the Tehri Reservoir, where 16 small rivers/tributaries which are directly contributing to Tehri reservoir are ungauged. In the present study an attempt has been made to carry out physiographic objective Tehri catchment and to develop Geomorphological Instantaneous Unit Hydrograph (GIUH) for ungauged rivers/tributaries directly falling into the reservoir. GIUH developed for the ungauged rivers can be used to simulate the runoff from all the 16 ungauged rivers. Combining these GIUH models with a hydrological model of the other gauged rivers of the Tehri Catchment in the form of a network model provides a complete rainfall-runoff model. Thus, this study provides a useful input for the development of inflow forecasting model for the Tehri Dam as the network model can be used as flood forecasting model.

Energy crossroads and prioritization of energy choices: the case of India

“…The land data have been cross‐checked with information provided by CEA (2010) for thermal power plants; National Institute of Wind Energy (2016) for wind, Agarwal et al . (2019) for hydro and Ahmedabad Municipal Corporation Solid Waste Management (2020) for waste energy and the dynamic land requirement as calculated using Equation 5 are found to be within acceptable range.…”

“…However, such data are not available for land data for all energy sources except biomass, and hence, we have depended on actual land data of a typical power plant for each kind of energy source. The land data have been cross-checked with information provided by CEA (2010) for thermal power plants; National Institute of Wind Energy (2016) for wind, Agarwal et al (2019) for hydro and Ahmedabad Municipal Corporation Solid Waste Management (2020) for waste energy and the dynamic land requirement as calculated using Equation 5 are found to be within acceptable range. The data usage description for the analysis for each energy kind along with data sources is explained for each power plant below.…”