Fuzzy Vulnerability Assessment of Coastal Areas To Sea Level Rise

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2010-07-05

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ÖZYURT, GÜLİZAR
Ergin, Ayşen
Baykal, Cüneyt

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This paper discusses a parameter based coastal vulnerability assessment model to sea level rise. The model integrates physical characteristics and human activities with expert perception through an application of analytical hierarchy process (AHP). The results of AHP enables users to assign weights to parameters of the model which determine vulnerability of a coastal area to the impacts of sea level rise such as coastal erosion, inundation, flooding due to storm surges, saltwater intrusion to groundwater and rivers. The results of AHP also indicates that sea level rise is not considered as one of the main driving forces of the impacts that might be already present contrary to the reports that state that sea level rise will trigger many problems along coastal areas. The application of the coastal vulnerability assessment model to two different coastal areas of Turkey showed that there is a need for overall evaluation of coastal areas in terms of vulnerability to sea level rise considering all the impacts. It is seen that assessing overall vulnerability is an important tool for national assessments. On the other hand, impact vulnerabilities are important when regional to local planning are considered since a region having a low overall vulnerability might show higher vulnerability for individual impacts. The proposed vulnerability methodology integrated with expert perception enables a simple yet effective representation of the coastal system while enabling decision makers to come up with proactive adaptation measures.

Subject Keywords

Analytical hierarchy process, Sea level rise, Coastal vulnerability

URI

https://hdl.handle.net/11511/32862

DOI

https://doi.org/10.9753/icce.v32.management.6

Collections

Department of Civil Engineering, Conference / Seminar

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Citation Formats

G. ÖZYURT, A. Ergin, and C. Baykal, “Fuzzy Vulnerability Assessment of Coastal Areas To Sea Level Rise,” 2010, vol. 1, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32862.