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               <dc:title>A social-ecological-technological vulnerability approach for assessing urban hydrological risks</dc:title>
               <dc:creator>Khromova, Svetlana</dc:creator>
               <dc:creator>Villalba, Gara</dc:creator>
               <dc:creator>Eckelman, Matthew</dc:creator>
               <dc:creator>Herreros-Cantis, Pablo</dc:creator>
               <dc:creator>Langemeyer, Johannes</dc:creator>
               <dc:subject>Mapping</dc:subject>
               <dc:subject>Resilience</dc:subject>
               <dc:subject>Risk</dc:subject>
               <dc:subject>Social-ecological-technological systems</dc:subject>
               <dc:subject>Urban stromwater</dc:subject>
               <dc:subject>SDG 11 - Sustainable Cities and Communities</dc:subject>
               <dc:subject>SDG 13 - Climate Action</dc:subject>
               <dc:description>Unidad de excelencia María de Maeztu CEX2019-000940-M</dc:description>
               <dc:description>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and technological (R = 0.1) domains provide essential guidance for future risk reduction strategies-such as upgrading outdated sewer infrastructure and exploring green space potential for run-off mitigation.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.</dc:description>
               <dc:date>2025-08-31T18:15:14Z</dc:date>
               <dc:date>2025-08-31T18:15:14Z</dc:date>
               <dc:date>2025</dc:date>
               <dc:type>Article</dc:type>
               <dc:identifier>http://hdl.handle.net/2072/485072</dc:identifier>
               <dc:relation>Agència de Gestió d'Ajuts Universitaris i de Recerca 2024/FI-200594</dc:relation>
               <dc:relation>Agencia Estatal de Investigación PCI2022-133011</dc:relation>
               <dc:relation>European Commission 818002</dc:relation>
               <dc:relation>Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-00734</dc:relation>
               <dc:relation>"la Caixa" Foundation 100010434</dc:relation>
               <dc:relation>Ministerio de Ciencia e Innovación CEX2019-000940-M</dc:relation>
               <dc:relation>Ecological indicators ; Vol. 173 (April 2025), art. 113334</dc:relation>
               <dc:rights>open access</dc:rights>
               <dc:rights>Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.</dc:rights>
               <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
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