Preventing Urban Floods by Optimized Modeling: a Comparative Evaluation of Alternatives in İzmir (türkiye)

dc.contributor.author Arslan, Bertan
dc.contributor.author Salata, Stefano
dc.date.accessioned 2023-10-03T07:16:32Z
dc.date.available 2023-10-03T07:16:32Z
dc.date.issued 2023
dc.description 23rd International Conference on Computational Science and Its Applications, ICCSA 2023 -- 3 July 2023 through 6 July 2023 -- 297179 en_US
dc.description.abstract It is widely acknowledged that coastal cities will be heavily threatened by climate change globally. Among these cities, the Mediterranean suffers from a coupled dynamic of sea level rise and pluvial flooding due to their landform and soil characteristics. In this situation, analyzing the morphological and hydrological characteristics to define vulnerable areas is a prerequisite to designing performance-based solutions. But how does the flood vulnerability change with the different configurations of pervious and impervious surfaces? How do soil and landform characteristics affect flood vulnerability? This study assumes the possibility of re-naturing the coastal neighborhood of Karsiyaka, Izmir (Türkiye) while using fifteen alternative scenarios. We modeled the Urban Flood Risk Mitigation using InVEST (Natural Capital Project) and integrated the results with an analysis of the flow accumulation. According to our results, when the de-sealing process occurs in soils with low hydraulic conductibility, the results in terms of run-off containment can be dramatically limited or non-perceptible. The findings demonstrate that modeling with scenarios can guide the decision-makers while understanding exactly where the de-permeabilization can achieve its maximum efficiency. Therefore, performance-based solutions designed to increase water infiltration should carefully consider ex-ante empirical modeling to prevent urban flooding. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. en_US
dc.identifier.doi 10.1007/978-3-031-37111-0_42
dc.identifier.isbn 9783031371103
dc.identifier.issn 0302-9743
dc.identifier.scopus 2-s2.0-85165104934
dc.identifier.uri https://doi.org/10.1007/978-3-031-37111-0_42
dc.identifier.uri https://hdl.handle.net/11147/13836
dc.language.iso en en_US
dc.publisher Springer Science and Business Media Deutschland GmbH en_US
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Ecosystem Services Modeling en_US
dc.subject Performance-Based Urban Planning en_US
dc.subject Soil Permeability en_US
dc.subject Urban Flood Management en_US
dc.subject Climate change en_US
dc.subject Decision making en_US
dc.subject Ecosystems en_US
dc.subject Flood control en_US
dc.subject Floods en_US
dc.subject Landforms en_US
dc.subject Risk assessment en_US
dc.subject Sea level en_US
dc.subject Comparative evaluations en_US
dc.subject Ecosystem services modelling en_US
dc.subject Flood management en_US
dc.subject Flood vulnerabilities en_US
dc.subject Optimized models en_US
dc.subject Performance based en_US
dc.subject Performance-based urban planning en_US
dc.subject Soil permeability en_US
dc.subject Urban flood management en_US
dc.subject Urban floods en_US
dc.subject Soils en_US
dc.title Preventing Urban Floods by Optimized Modeling: a Comparative Evaluation of Alternatives in İzmir (türkiye) en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Arslan, Bertan
gdc.author.institutional Salata, Stefano
gdc.author.scopusid 57545054500
gdc.author.scopusid 56205696000
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. City and Regional Planning en_US
gdc.description.departmenttemp Arslan, B., Department of City and Regional Planning, Izmir Institute of Technology, İzmir, Urla, 35430, Turkey; Salata, S., Department of Architecture and Urban Studies (DAStU), Lab PPTE, Polytechnic University of Milan, Piazza Leonardo da Vinci, 32, MI, Milan, 20133, Italy en_US
gdc.description.endpage 631 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 614 en_US
gdc.description.volume 14106 LNCS en_US
gdc.description.wosquality N/A
gdc.identifier.openalex W4382366381
gdc.index.type Scopus
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gdc.oaire.influence 2.635068E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Urban Flood Management
gdc.oaire.keywords Performance-Based Urban Planning
gdc.oaire.keywords Ecosystem Services Modeling
gdc.oaire.keywords Soil Permeability
gdc.oaire.popularity 2.588463E-9
gdc.oaire.publicfunded false
gdc.openalex.collaboration International
gdc.openalex.fwci 0.0
gdc.openalex.normalizedpercentile 0.21
gdc.opencitations.count 0
gdc.plumx.mendeley 11
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