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Improving the representation of groundwater processes in a large-scale water resources model.
- Source :
-
Hydrological Sciences Journal/Journal des Sciences Hydrologiques . Jul-Sep2023, Vol. 68 Issue 9, p1264-1285. 22p. - Publication Year :
- 2023
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *WATER supply
*GROUNDWATER
*WATER table
*WATERSHEDS
*STREAMFLOW
*AQUIFERS
Subjects
Details
- Language :
- English
- ISSN :
- 02626667
- Volume :
- 68
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Hydrological Sciences Journal/Journal des Sciences Hydrologiques
- Publication Type :
- Academic Journal
- Accession number :
- 164943668
- Full Text :
- https://doi.org/10.1080/02626667.2023.2208755