Sustainable Water Allocation Projection in Yavatmal District through Optimization of Reservoir Operation in the Wardha-Penganga Sub-basin, India
Abstract
The onslaught of climate change has brought extreme drought in some parts of India and devastating rainfall in others. Consequently, the seasonal rainfall duration and timeline has become severely unpredictable. One forecast indicates that a 1.6 to 2.2-degree Celsius rise in the annual average temperature will ruin the agriculture of central India by the year 2050. Climate change, faulty agricultural and water policies, ineffective irrigation system, competition for available water, etc. are pressuring farmers to commit suicide in the Umarkhed taluka of central India. Prediction shows that for different Representative Concentration Pathway (RCP 2.6, RCP 4.5, and RCP 8.5) situations, the annual rainfall may decrease during 2039-2069 in the surrounding basin (Wardha-Penganga). The project targets to mitigate the natural dissimilarity of water distribution in the Yavatmal district by managing and optimizing reservoir operation system. To optimize this system, it requires to combine the hydrologic simulation model (HEC-HMS) with a reservoir operation optimization model (GAMS). Gridded data (0.25 degree) of precipitation from Indian Meteorological Department (IMD); decadal classified land cover map from Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC), soil pattern map from Food and Agricultural Organization (FAO) of the United Nations, Shuttle Radar Topography Mission (SRTM) data of Digital Elevation Model (DEM) with 30-meter resolution, and daily storage data of the reservoirs from India Water Resource Information System (India-WRIS) will be the input parameters of this model. The model will be calibrated and validated with the daily discharge data of the past 30 years (1990 to 2019) of different river stations of the sub-basin. The future RCP climate forecast scenarios will be investigated for reservoir system operations. Moreover, water storage facilities will be modified at the local scale technologies, namely, introducing irrigation canals, solar-powered drip irrigation techniques, concrete delivery pipe, etc. to reduce the consequences of mismanagement and climate change.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMH171.0024H
- Keywords:
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- 1630 Impacts of global change;
- GLOBAL CHANGE;
- 1880 Water management;
- HYDROLOGY;
- 1884 Water supply;
- HYDROLOGY;
- 1990 Uncertainty;
- INFORMATICS