Towards sustainable coastal management: a hybrid model for vulnerability and risk assessment

dc.authorid0000-0002-6218-0129
dc.contributor.authorDurap, Ahmet
dc.contributor.authorBalas, Can Elmar
dc.date.accessioned2024-08-08T08:59:55Z
dc.date.available2024-08-08T08:59:55Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThis paper presents the development of a Hybrid Model (HM) integrated with a Bayesian Network (BN) for comprehensive coastal vulnerability and risk assessment, with a focus on Konyaaltı Beach, Antalya, Turkey. The HM incorporates critical environmental parameters such as wind, waves, currents, and sediment transport to simulate conditions at vulnerable coastal areas and perform risk assessments for storm effects, flooding, and erosion. The model includes submodules for predicting coastal storms, quantifying sediment transport rates, assessing tsunami inundation severity, and categorizing storms based on beach typologies. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized for significant wave height predictions, enhancing the model's accuracy. The integration of hydrodynamic modeling, Bayesian networks, and ANFIS offers a robust framework for assessing coastal vulnerability and informing sustainable management practices. The study's results highlight the necessity for integrated risk management strategies, including adaptive infrastructure design, zoning and land use regulations, ecosystem-based management, and continuous monitoring and model refinement to enhance coastal resilience against dynamic environmental forces. This research provides valuable insights for mitigating the impacts of hazards on urban developments, contributing to the advancement of sustainable coastal management.
dc.description.sponsorshipIstanbul Technical Universityen_US
dc.identifier.citationDurap, A. ve Balas, C. E. (2024). Towards sustainable coastal management: a hybrid model for vulnerability and risk assessment. Journal of Coastal Conservation, 28(4). http://dx.doi.org/10.1007/s11852-024-01065-y
dc.identifier.doi10.1007/s11852-024-01065-y
dc.identifier.issn1400-0350
dc.identifier.issn1874-7841
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85199404541
dc.identifier.scopusqualityQ2
dc.identifier.urihttp://dx.doi.org/10.1007/s11852-024-01065-y
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12771
dc.identifier.volume28
dc.identifier.wos001275581200001en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDurap, Ahmet
dc.language.isoen
dc.relation.ispartofJournal of Coastal Conservationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectANFIS
dc.subjectBayesian Networks
dc.subjectCoastal Vulnerability
dc.subjectStorm and Beach Classifications
dc.subjectVulnerability Trends
dc.titleTowards sustainable coastal management: a hybrid model for vulnerability and risk assessment
dc.typeArticle

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