Disaster Vulnerability Assessment in Coastal Areas of Korea

• Published in: Journal of coastal research 2018-05, Vol.85 (sp1), p.886-890
• Main Authors: Kang, Tae Soon, Oh, Hyeong Min, Lee, Eun Il, Jeong, Kwang Young
• Format: Article
• Language: English
• Subjects: 21st century; Adaptation; Capacity; CDAS (Coastal Disaster vulnerability Assessment System); Climate change; Coastal disaster; Coastal erosion; COASTAL HAZARDS; Coastal management; Coastal zone; Coastal zone management; Coasts; Data processing; Decision making; Disasters; Earth science; Erosion; Frameworks; Geographic information systems; Geographical information systems; Geography; Government agencies; Hurricanes; Indicators; Intergovernmental Panel on Climate Change; Local government; Mathematical models; Population; Satellite navigation systems; Sensitivity; Spatial analysis; Surveys; Sustainable development; Tides; Typhoons; Vulnerability
• ISSN: 0749-0208; 1551-5036
• DOI: 10.2112/SI85-178.1

Kang, T.S.; Oh, H.M.; Lee, E.I., and Jeong, K.Y., 2018. Disaster Vulnerability Assessment in Coastal Areas of Korea. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 886–890. Coconut Creek (Florida), ISSN 0749-0208. In this study, the vulnerability to disaster in the coastal areas of Korea was assessed for the safe utilization and value enhancement of coastal areas. The framework of the coastal disaster vulnerability assessment has been adopted from the concept of climate change vulnerability of the IPCC (2001). Coastal Disaster Impact Index(CDII) is defined as a function of exposure and sensitivity, and the Coastal Disaster Vulnerability Index (CDVI) includes those as well as adaptive capacity. Indicators of exposure consisted of typhoon, surge, wave, tide, SLR and coastal erosion. Indicators of sensitivity consisted of human, property and geography. And adaptive capacity consisted of socioeconomic and governmental adaptive capacity. The parameters of these 11 indicators were gathered from government agencies, numerical model experiments and field surveys. Spatial analysis was performed by using the GIS program after passing the quality test, and analysed data were standardized and classified into 5 numerical grades. The results of the CDVI were grade 1: 2,737.3km (28.4%), grade 2: 1,667.2km (17.3%), grade 3: 1,402.3km (14.5%), grade 4: 1,758.7km (18.2%), and grade 5: 2,083.8km (21.6%) of the total 9,649.3km. The CDVI value was high in Jindo-gun and Haenamgun, when analysed with an index that includes the adaptive capacity to the disaster of the local governments and CDII. Coastal disaster vulnerability assessment results are used as reference indicators to identify the cause of coastal disasters, to establish countermeasures, to aid the decision-making process regarding the sustainable development in coastal areas, thus contributing to effective and safe coastal management.