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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/25779
Title: Extending a large-scale model to better represent water resources without increasing the model’s complexity
Authors: Horan R.
Rickards N.J.
Kaelin A.
Baron H.E.
Thomas T.
Keller V.D.J.
Mishra P.K.
Nema M.K.
Muddu S.
Garg K.K.
Pathak R.
Houghton-Carr H.A.
Dixon H.
Jain, Sharad Kumar
Rees G.
Published in: Water (Switzerland)
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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Citation: Water (Switzerland), 13(21)
URI: https://doi.org/10.3390/w13213067
http://repository.iitr.ac.in/handle/123456789/25779
Issue Date: 2021
Publisher: MDPI
Keywords: Cauvery
Groundwater
Hydrology
Large-scale model
Narmada
Reservoirs
ISSN: 20734441
Author Scopus IDs: 57217863813
57217863735
57217252663
57221681352
56460754200
56187732000
57222506979
57190277995
7003745084
36871572200
57324236300
6602542879
15520555600
29767443800
7202374377
Author Affiliations: Horan, R., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Rickards, N.J., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Kaelin, A., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Baron, H.E., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Thomas, T., National Institute of Hydrology, Roorkee, 247667, India
Keller, V.D.J., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Mishra, P.K., National Institute of Hydrology, Roorkee, 247667, India
Nema, M.K., National Institute of Hydrology, Roorkee, 247667, India
Muddu, S., Department of Civil Engineering, Indian Institute of Science, Bangalore, 560012, India
Garg, K.K., International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, 502324, India
Pathak, R., National Institute of Hydrology, Roorkee, 247667, India
Houghton-Carr, H.A., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Dixon, H., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Jain, S.K., Civil Engineering Department, Indian Institute of Technology, Roorkee, 247667, India
Rees, G., UK Centre for Ecology & Hydrology, Wallingford, OX10 8BB, United Kingdom
Funding Details: Funding: 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. Natural Environment Research Council, NERC: NE/R000131/1; Ministry of Earth Sciences, एमओईएस: NE/N016491/1
Corresponding Author: Horan, R.; UK Centre for Ecology & HydrologyUnited Kingdom; email: robynhoran8@gmail.com Rickards, N.J.; UK Centre for Ecology & HydrologyUnited Kingdom; email: natric@ceh.ac.uk
Appears in Collections:Journal Publications [CE]

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