Improving the representation of groundwater processes in a large-scale water resources model

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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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
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
Official URL:
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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