Performance of a system of reservoirs on futuristic front

Abstract

Application of simulation model HEC-5 to analyze the performance of the DVC Reservoir System (a multipurpose system with a network of five reservoirs and one barrage) on the river Damodar in Eastern India in meeting projected future demand as well as controlling flood for synthetically generated future scenario is addressed here with a view to develop an appropriate strategy for its operation. Thomas-Fiering model (based on Markov autoregressive model) has been adopted for generation of synthetic scenario (monthly streamflow series) and subsequently downscaling of modeled monthly streamflow to daily values was carried out. The performance of the system (analysed on seasonal basis) in terms of 'Performance Indices' (viz., both quantity based reliability and time based reliability, mean daily deficit, average failure period, resilience and maximum vulnerability indices) for the projected scenario with enhanced demand turned out to be poor compared to that for historical scenario. However, judicious adoption of resource enhancement (marginal reallocation of reservoir storage capacity) and demand management strategy (curtailment of projected high water requirements and trading off between demands) was found to be a viable option for improvement of the performance of the reservoir system appreciably [improvement being (1-51 %), (2-35 %), (16-96 %), (25-50 %), (8-36 %) and (12-30 %) for the indices viz., quantity based reliability, time based reliability, mean daily deficit, average failure period, resilience and maximum vulnerability, respectively] compared to that with normal storage and projected demand. Again, 100 % reliability for flood control for current as well as future synthetically generated scenarios was noted. The results from the study would assist concerned authority in successful operation of reservoirs in the context of growing demand and dwindling resource.

Using a Deep Learning Framework to Forecast Reservoir Water Availability in India

“…For example, the reservoirs in the Ganga Damodar have some of the weakest prediction power. The Ganga Damodar reservoirs are operated as a network (Saha et al 2017) to coordinate water releases together to manage floods and meet water demands for irrigation, water supply, and electrical power generation (Sen 2021). While is it common for reservoirs to be operated in a network, the close spatial proximity of these reservoirs may mean that water exchanges may happen more frequently and/or be felt more rapidly than farther-spaced reservoirs.…”

Management of water scarcity in arid areas: a case study (Ziz Watershed)

“…Besides, vulnerability remained constant during the same period. The same indicators was performed by (Saha et al, 2017; to assess the dam performance.…”

“…(Tinoco et al, 2016) carried out a study over the Macul basin in Ecuador to maintain the sustainable balance between irrigation and river ecology. The results show that meeting irrigation demand supposes that the decision-makers should adopt for deficit irrigation and the modification of spillway dimension (Saha et al, 2017). A reservoir operation function under the HEC-5 model was proposed to analyze a system of reser-voirs at a daily time step using the water balance equation.…”