Climate change overrides population dynamics in driving flood exposure in the Yangtze River Basin
Year: 2026
Type: article
Abstract: Study region Yangtze River Basin Study focus River floods expose large populations to life-threatening conditions, yet the joint influence of climate change and socioeconomic development on future flood exposure in the Yangtze River Basin remains poorly quantified. Here we assess population exposure to river floods by coupling the distributed hydrological model WEB-DHM-SG with Inter-Sectoral Impact Model Intercomparison Project phase 3b bias-correct climate projections under multiple Shared Socioeconomic Pathways. Exposure is evaluated for historical, near-future (2036–2065) and far-future (2071–2100) periods under SSP126, SSP370 and SSP585, as well as for global warming levels from 1.5 to 4.5 °C. New hydrological insight We found that basin-wide exposure increases from about 30 million historically to roughly 50 million in the near-future across all scenarios, and remains about 35–40% above historical under SSP126 and SSP585 but nearly doubles under SSP370 by late century. High-exposure and strongly increasing sub-basins are consistently concentrated in middle- and lower-reach floodplains, whereas many upper-reach sub-basins show decreasing exposure, reinforcing existing upstream–downstream inequalities. Warming-level and decomposition analyses indicate that climate change shifts the basin from a low- to a high-exposure regime, while population dynamics mainly modulate exposure at low warming levels and play a minor or compensating role thereafter. These results highlight the middle and lower Yangtze as priority regions where spatially targeted adaptation and risk-informed development will be essential to limit future flood risk.
Authors: Wei Qi, Libin Lu, Yanpeng Cai, Qian Tan
Institution: Guangdong University of Technology
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,600
Awards: G1346847060, G1759778044, G3178855126
OpenAlex ID: W7151006555
