Randomized trial assesses future water availability in the Upper Jhelum Basin, indicating urgent need for adaptive management.
We applied an integrated modelling framework combining SWAT for hydrological simulations, Coupled Model Intercomparison Project Phase 6 (CMIP6) climate projections under SSP1-2.6, SSP2-4.5, SSP5-8.5, and MODFLOW to assess surface-groundwater interactions. Results show that curve number, baseflow recession, groundwater delay, and snowmelt-driven runoff strongly regulate streamflow variability. Snowmelt contributes ~52 % of June discharge, as simulated using the temperature- index snowmelt routine in SWAT, while baseflow dominates at Asham and Baramulla. Historical patterns reveal declining spring flows, amplified summer runoff, and extremes such as the 2014 flood (1600 m3 s⁻1). Future scenarios project earlier snowmelt peaks (late April-early June under SSP5-8.5), resulting in ~30 % reduced April flows and ~15 % higher June flows. Baseflow is expected to rise by 10-18 % in dry months, whereas extreme floods may exceed historical magnitudes by up to 20 %. These shifts jeopardize water security, highlighting the need for adaptive, resilient management.
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Bhat et al. (2026) studied this question.
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