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Designing With Ecosystem Modelling: the Sponge District Application in İzmir, Turkey

dc.contributor.author Salata, Stefano
dc.contributor.author Arslan, Bertan
dc.contributor.other 02.03. Department of City and Regional Planning
dc.contributor.other 02. Faculty of Architecture
dc.contributor.other 01. Izmir Institute of Technology
dc.date.accessioned 2022-07-22T10:48:09Z
dc.date.available 2022-07-22T10:48:09Z
dc.date.issued 2022-03
dc.description.abstract Climate change is threatening coastal cities affected by multiple hazards worldwide. Due to the increase in extreme weather events and the low capacity of cities to adapt to these odds, losses, exposure, and fatalities arise with the occurred events. Besides, traditional hazard mapping and risk planning techniques often fall behind when facing a climate crisis since extreme changes in quantity, frequency, and distribution of meteorological phenomena are observed. Specific and localized flood vulnerability mitigation strategies need to be developed, particularly for settlements on coastal and sloppy areas with a high risk of stream accumulation during rainfall days. This paper uses the urban flood risk mitigation of Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) generated within the Natural Capital Project to determine İzmir’s cloudburst vulnerability level. The city has experienced several cloudbursts in the last couple of months which inundated densely populated areas. The soil’s hydrologic conductibility and the land use/land cover (LULC) map were required as main inputs. The LULC map was produced on the basis of surface imperviousness. The model calculates the run-off volume and how much is retained by soil and vegetation. Outputs were used to concretely apply the sponge district concept while designing performance-based ecosystem solutions. In the light of the findings, the new performance-based design demonstrated how digital ecosystem modelling could support the urban design decision-making process. en_US
dc.identifier.doi 10.3390/su14063420
dc.identifier.issn 2071-1050 en_US
dc.identifier.issn 2071-1050
dc.identifier.scopus 2-s2.0-85126955707
dc.identifier.uri https://doi.org/10.3390/su14063420
dc.identifier.uri https://hdl.handle.net/11147/12185
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.relation.ispartof Sustainability en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Adaptation models en_US
dc.subject Climate vulnerability en_US
dc.subject Flood management en_US
dc.subject Sponge districts en_US
dc.title Designing With Ecosystem Modelling: the Sponge District Application in İzmir, Turkey en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0001-9342-9241
gdc.author.id 0000-0001-9342-9241 en_US
gdc.author.institutional Salata, Stefano
gdc.author.institutional Arslan, Bertan
gdc.author.institutional Salata, Stefano
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.contributor.affiliation Izmir Institute of Technology en_US
gdc.contributor.affiliation Izmir Institute of Technology en_US
gdc.description.department İzmir Institute of Technology. City and Regional Planning en_US
gdc.description.issue 6 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 3420
gdc.description.volume 14 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W4221000476
gdc.identifier.wos WOS:000774660600001
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 14.0
gdc.oaire.influence 3.1028575E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 1.3401846E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
gdc.openalex.fwci 1.309
gdc.openalex.normalizedpercentile 1.0
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 13
gdc.plumx.crossrefcites 9
gdc.plumx.facebookshareslikecount 32
gdc.plumx.mendeley 74
gdc.plumx.scopuscites 14
gdc.scopus.citedcount 14
gdc.wos.citedcount 12
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