2026-04-17T03:19:52Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/4850722025-08-31T18:15:14Zcom_2072_98col_2072_378192

00925njm 22002777a 4500 dc Khromova, Svetlana author Villalba, Gara author Eckelman, Matthew author Herreros-Cantis, Pablo author Langemeyer, Johannes author 2025 Unidad de excelencia María de Maeztu CEX2019-000940-M In the context of urban population growth and climate change, and ever greater number of people are anticipated to face severe risks associated with extreme climate events; major ones are due to stormwater-related hazards. This study offers novel understanding of the complex nature of water-related risks in urban geographies by employing a Social-Ecological-Technological Systems (SETS) framework to assess vulnerabilities. Hydrology-informed urban risk index was developed, quantifying seventeen indicators from historical and modeled data on sewer overflow and flood events. The spatially explicit SETS-based approach identifies high-risk communities and hotspots where multiple vulnerabilities intersect and can serve as a valuable tool for guiding policy and decision-making to support more resilient urban futures. Our findings reveal that social vulnerability plays a critical role in determining the overall risk (R = 0.4), with the greatest impacts imposed on socially vulnerable communities. However, insights from the ecological (R = 0.2) and technological (R = 0.1) domains provide essential guidance for future risk reduction strategies-such as upgrading outdated sewer infrastructure and exploring green space potential for run-off mitigation. The framework proposed is generalizable to other cities facing similar environmental challenges, highlighting its potential as a foundational tool for policymaking to reduce risks associated with extreme climate events. http://hdl.handle.net/2072/485072 Mapping Resilience Risk Social-ecological-technological systems Urban stromwater SDG 11 - Sustainable Cities and Communities SDG 13 - Climate Action A social-ecological-technological vulnerability approach for assessing urban hydrological risks