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Extending a large-scale model to better represent water resources without increasing the model�s complexity

Horan, R and Rickards, NJ and Kaelin, A and Baron, HE and Thomas, T and Keller, VDJ and Mishra, PK and Nema, MK and Muddu, S and Garg, KK and Pathak, R and Houghton-Carr, HA and Dixon, H and Jain, SK and Rees, G (2021) Extending a large-scale model to better represent water resources without increasing the model�s complexity. In: Water (Switzerland), 13 (21).

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Official URL: https://doi.org/10.3390/w13213067


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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type: Journal Article
Publication: Water (Switzerland)
Publisher: MDPI
Additional Information: The copyright for this article belongs to Authors
Keywords: Catchments; Reservoirs (water); Runoff; Stream flow, Anthropogenic interference; Availability assessment; Cauvery; Large-scale modeling; Modeling complexity; Modeling performance; Narmadum; River basins; Water availability; Waters resources, Groundwater
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 22 Nov 2021 10:52
Last Modified: 22 Nov 2021 10:52
URI: http://eprints.iisc.ac.in/id/eprint/70544

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