Reservoir inflow forecast system for major Indian dams

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dc.contributor.author Vegad, Urmin
dc.contributor.author Mishra, Vimal
dc.coverage.spatial Austria
dc.date.accessioned 2025-04-24T11:28:11Z
dc.date.available 2025-04-24T11:28:11Z
dc.date.issued 2025-04-27
dc.identifier.citation Vegad, Urmin and Mishra, Vimal, "Reservoir inflow forecast system for major Indian dams", in the EGU General Assembly 2025, Vienna, AT, Apr. 27-May 02, 2025.
dc.identifier.uri https://doi.org/10.5194/egusphere-egu25-14747
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/11248
dc.description.abstract Floods are the most frequent natural disasters in India, causing widespread disruption to agriculture, infrastructure, and lives during the Indian summer monsoon. Dams play a critical role in mitigating downstream flooding by regulating reservoir storage and release. As the ability of dams to control floods strongly depend on antecedent reservoir storage, reservoir inflow forecasts are crucial for effective decision-making. Despite an extensive network of large dams, India currently lacks a reservoir inflow forecasting system incorporating all its major dams. Using the H08 land surface hydrological model with the CaMa-Flood hydrodynamic model, we developed a reservoir inflow forecast system for the major reservoirs in India. Using the meteorological forecasts from the Global Ensemble Forecast System (GEFS), the framework provides short-range inflow forecasts to support decision-making. This forecast system offers potential to optimize reservoir storage levels, attenuate projected inflows, and mitigate downstream flooding.
dc.description.statementofresponsibility by Urmin Vegad and Vimal Mishra
dc.language.iso en_US
dc.title Reservoir inflow forecast system for major Indian dams
dc.type Poster Presented
dc.relation.journal EGU General Assembly 2025


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