<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T13:14:21Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2072/485072" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2072/485072</identifier><datestamp>2025-08-31T18:15:14Z</datestamp><setSpec>com_2072_98</setSpec><setSpec>col_2072_378192</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_2072-485072" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:2072/485072">
   <metsHdr CREATEDATE="2026-04-13T15:14:21Z">
      <agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
         <name>RECERCAT</name>
      </agent>
   </metsHdr>
   <dmdSec ID="DMD_2072_485072">
      <mdWrap MDTYPE="MODS">
         <xmlData xmlns:mods="http://www.loc.gov/mods/v3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
            <mods:mods xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Khromova, Svetlana</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Villalba, Gara</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Eckelman, Matthew</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Herreros-Cantis, Pablo</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Langemeyer, Johannes</mods:namePart>
               </mods:name>
               <mods:extension>
                  <mods:dateAccessioned encoding="iso8601">2025-08-31T18:15:14Z</mods:dateAccessioned>
               </mods:extension>
               <mods:extension>
                  <mods:dateAvailable encoding="iso8601">2025-08-31T18:15:14Z</mods:dateAvailable>
               </mods:extension>
               <mods:originInfo>
                  <mods:dateIssued encoding="iso8601">2025</mods:dateIssued>
               </mods:originInfo>
               <mods:identifier type="none"/>
               <mods:identifier type="uri">http://hdl.handle.net/2072/485072</mods:identifier>
               <mods:abstract>Unidad de excelencia María de Maeztu CEX2019-000940-MIn 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.</mods:abstract>
               <mods:language>
                  <mods:languageTerm authority="rfc3066"/>
               </mods:language>
               <mods:accessCondition type="useAndReproduction">open access 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. https://creativecommons.org/licenses/by-nc/4.0/</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Mapping</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Resilience</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Risk</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Social-ecological-technological systems</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Urban stromwater</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>SDG 11 - Sustainable Cities and Communities</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>SDG 13 - Climate Action</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>A social-ecological-technological vulnerability approach for assessing urban hydrological risks</mods:title>
               </mods:titleInfo>
               <mods:genre>Article</mods:genre>
            </mods:mods>
         </xmlData>
      </mdWrap>
   </dmdSec>
   <structMap LABEL="DSpace Object" TYPE="LOGICAL">
      <div TYPE="DSpace Object Contents" ADMID="DMD_2072_485072"/>
   </structMap>
</mets></metadata></record></GetRecord></OAI-PMH>