Extending a Large-Scale Model to Better Represent Water Resources without Increasing the Model’s Complexity

Horan, R and Rickards, N J and Kaelin, A and Baron, H E and Thomas, T and Keller, V D J and Mishra, P K and Nema, M K and Muddu, S and Garg, K K and Pathak, R and Houghton-Carr, H A and Dixon, H and Jain, S K and Rees, G (2021) Extending a Large-Scale Model to Better Represent Water Resources without Increasing the Model’s Complexity. Water (TSI), 13 (21). pp. 697-712. ISSN 2073-4441

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Abstract

The increasing impact of anthropogenic interference on river basins has facilitated the development of the representation of human influences in large-scale models. The representation of groundwater and large reservoirs have realised significant developments recently. Groundwater and reservoir representation in the Global Water Availability Assessment (GWAVA) model have been improved, critically, with a minimal increase in model complexity and data input requirements, in keeping with the model’s applicability to regions with low-data availability. The increased functionality was assessed in two highly anthropogenically influenced basins. A revised groundwater routine was incorporated into GWAVA, which is fundamentally driven by three input parameters, and improved the simulation of streamflow and baseflow in the headwater catchments such that low-flow model skill increased 33–67% in the Cauvery and 66–100% in the Narmada. The existing reservoir routine was extended and improved the simulation of streamflow in catchments downstream of major reservoirs, using two calibratable parameters. The model performance was improved between 15% and 30% in the Cauvery and 7–30% in the Narmada, with the daily reservoir releases in the Cauvery improving significantly between 26% and 164%. The improvement of the groundwater and reservoir routines in GWAVA proved successful in improving the model performance, and the inclusions allowed for improved traceability of simulated water balance components. This study illustrates that improvement in the representation of human–water interactions in large-scale models is possible, without excessively increasing the model complexity and input data requirements.

Item Type:	Article
Divisions:	Research Program : Innovation Systems for the Drylands (ISD)
CRP:	UNSPECIFIED
Uncontrolled Keywords:	large-scale model, hydrology, groundwater, reservoirs, Cauvery, Narmada
Subjects:	Others > Water Resources
Depositing User:	Mr Nagaraju T
Date Deposited:	02 Jun 2025 09:44
Last Modified:	02 Jun 2025 09:44
URI:	http://oar.icrisat.org/id/eprint/13096
Official URL:	https://www.mdpi.com/2073-4441/13/21/3067
Projects:	Sustaining Water Resources for Food, Energy, and Ecosystem Services
Funders:	UK Natural Environment Research Council (NERC-UKRI)
Acknowledgement:	The research underlying this paper was carried out under the UPSCAPE project of the Newton-Bhabha programme “Sustaining Water Resources for Food, Energy, and Ecosystem Services”, funded by the UK Natural Environment Research Council (NERC-UKRI) and the India Ministry of Earth Sciences (MoES), grant number: NE/N016491/1 and Natural Environment Research Council award number NE/R000131/1, as part of the SUNRISE programme delivering National Capability, UK Centre for Ecology and Hydrology (UKCEH), published with the permission of the Director of UKCEH. The views and opinions expressed in this paper are those of the authors alone.
Links:	Google Scholar

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