Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin

Quantifying water-saving potential (WSP) is crucial for sustainable water resource management in canal command areas and river basins. Previous studies have partially or fully ignored the importance of groundwater in WSP assessments, particularly in irrigated areas. This study is aimed at quantifying WSP in the Lower Chenab Canal (LCC) command area of the Indus River Basin, Pakistan, under various scenarios of future climate change and groundwater recharge. These quantifications are conducted using an empirical model based on the Budyko theory. The model was forced using observed, remote sensing, and CMIP6 future climate data for two Shared Socioeconomic Pathways (SSP245 and SSP585) and their ensembles (cold-dry, cold-wet, warm-dry, and warm-wet) for possible futures. The results showed that the average WSP in the LCC command area was 466 ± 48 mm/year during the historical period (2001–2020). The WSP is projected to decrease by – 68 ± 3% under the warm-dry ensemble scenario (SSP245 and SSP585) and – 48 ± 13% under the ensembled cold-wet scenario by 2100. The results also demonstrated that WSP could be increased by up to 70 ± 9% by artificially recharging 20% of the abstracted groundwater per year in the LCC command area by the late twenty-first century. Our findings highlight the importance of adopting artificial groundwater recharge to enhance the WSP and sustainably manage water resources in the LCC command area. Policymakers should consider these findings when deciding on water resource management in the Indus River Basin.

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Bibliographic Details
Main Authors: Shafeeque, Muhammad, Hafeez, Mohsin, Sarwar, A., Arshad, A., Khurshid, T., Asim, M. I., Ali, S., Dilawar, A.
Format: Journal Article biblioteca
Language:English
Published: Springer 2023-09-04
Subjects:water conservation, climate change, groundwater recharge, river basins, irrigation systems, irrigation efficiency, water resources, water management, energy balance, artificial recharge, water availability, projections, models,
Online Access:https://hdl.handle.net/10568/132077
https://link.springer.com/content/pdf/10.1007/s00704-023-04621-y.pdf?pdf=button
https://doi.org/10.1007/s00704-023-04621-y
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