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

Baron, HE and Keller, VDJ and Horan, R and MacAllister, DJ and Simpson, M and Jackson, CR and Houghton-Carr, HA and Rickards, N and Garg, KK and Sekhar, M and MacDonald, A and Rees, G (2023) Improving the representation of groundwater processes in a large-scale water resources model. In: Hydrological Sciences Journal .

Full text not available from this repository.
Official URL: https://doi.org/10.1080/02626667.2023.2208755


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: Journal Article
Publication: Hydrological Sciences Journal
Publisher: Taylor and Francis Ltd.
Additional Information: The copyright for this article belongs to the Taylor and Francis Ltd.
Keywords: Cauvery River; groundwater; India; integrated water resource model.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 15 Jul 2023 07:11
Last Modified: 15 Jul 2023 07:11
URI: https://eprints.iisc.ac.in/id/eprint/82481

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