Baron, H E and Keller, V D J and Horan, R and MacAllister, D J and Simpson, M and Jackson, C R and Houghton-Carr, H A and Rickards, N and Garg, K K and Sekhar, M and MacDonald, A and Rees, G (2023) Improving the representation of groundwater processes in a large-scale water resources model. HYDROLOGICAL SCIENCES JOURNAL. 01-22. ISSN 2150-3435
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Abstract
This study explores whether incorporating a more sophisticated representation of groundwater, and human–groundwater interactions, improves predictive capability in a large-scale water resource model. The Global Water Availability Assessment model (GWAVA) is developed to include a simple layered aquifer and associated fluxes (GWAVA-GW), and applied to the Cauvery River basin in India, a large, human-impacted basin with a high dependence on groundwater. GWAVA-GW shows good predictive skill for streamflow upstream of the Mettur dam: Kling-Gupta efficiency ≥ 0.3 for 91% of sub-catchments, and improved model skill for streamflow prediction compared to GWAVA over the majority of the basin. GWAVA-GW shows some level of predictive skill for groundwater levels over seasonal and long-term time scales, with a tendency to overestimate depth to groundwater in areas with high levels of groundwater pumping. Overall, GWAVA-GW is a useful tool when assessing water resources at a basin scale, especially in areas that rely on groundwater.
| Item Type: | Article |
|---|---|
| Divisions: | Global Research Program - Resilient Farm and Food Systems |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | integrated water resource model, groundwater, India, Cauvery River |
| Subjects: | Others > Water Resources Others > India |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 03 Jul 2023 07:54 |
| Last Modified: | 03 Jul 2023 07:54 |
| URI: | http://oar.icrisat.org/id/eprint/12124 |
| Official URL: | https://doi.org/10.1080/02626667.2023.2208755 |
| Projects: | Newton-Bhabha programme “Sustaining Water Resources for Food, Energy and Ecosystem Services,”, NE/N016491/1, NE/N016270/1, MoES/NERC/IA-SWR/P1/08/2016-PC-II |
| Funders: | UK Natural Environment Research Council (NERC-UKRI), Ministry of Earth Sciences (MoES), India |
| Acknowledgement: | UNSPECIFIED |
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