Assessing future climate change impacts is essential for developing adaptive water resource management strategies in river basins. This study presents an integrated modeling framework combining the Soil and Water Assessment Tool (SWAT+) hydrological model with bias-corrected CMIP6 climate projections to assess hydroclimatic changes and drought propagation in the Arno River basin, Tuscany, Italy. We employed five General Circulation Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under Shared Socioeconomic Pathways SSP2-4.5 and SSP5-8.5, Quantile Delta Mapping (QDM) bias correction, and Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI) drought indices to examine climate extremes spanning from 2015 to 2100. Results demonstrate: (1) pronounced warming trends with temperature increases of 3°C under SSP2-4.5 and 5°C under SSP5-8.5 by century's end; (2) declining precipitation trends at rates of –0.51 mm year -1 and –1.77 mm year -1 for moderate and high emission pathways respectively; (3) streamflow reductions of –0.07 m 3 s -1 year -1 and –0.19 m 3 s -1 year -1 under SSP2-4.5 and SSP5-8.5 scenarios; and (4) increasing drought severity with total drought duration reaching 99 months for meteorological droughts and 106 months for hydrological droughts under high-emission pathways, compared to historical baselines of 41 and 32 months respectively. Strong correlations (r = 0.80–0.95) between meteorological and hydrological drought indices demonstrate robust drought propagation from precipitation deficits to streamflow reductions. This study provides crucial understanding of hydroclimatic changes, enabling policymakers and water managers to develop resilient strategies for the Arno River basin. • Five CMIP6 GCMs with SWAT + framework quantifies climate-driven hydrological changes • Potential warming of 3°C (SSP2-4.5) to 5°C (SSP5-8.5) projected by 2100 relative to 1994–2014 • All models converge on increasing temperature declining precipitation and streamflow by late century • Drought duration, severity, and frequency intensify markedly under SSP5-8.5 • Findings support early warning systems and adaptive water management for Arno River basin
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Hafeez Ahmed Talpur
Mohsin Tariq
Sadaf Nasreen
Water Cycle
University of Bologna
University of Chieti-Pescara
Czech University of Life Sciences Prague
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Talpur et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69ca134b883daed6ee095285 — DOI: https://doi.org/10.1016/j.watcyc.2026.03.006