기후변화 불확실성을 고려한 226개 기초지자체 유형화 연구

• Published in: 한국기후변화학회지 Vol. 11; no. 52; pp. 507 - 520
• Main Authors: 김재완(Kim, Jaewan), 정태용(Jung, Tae Yong), 박찬(Park, Chan), 문종우(Moon, Jongwoo), 강다현(Kang, Dahyun)
• Format: Journal Article
• Language: Korean
• Published: 한국기후변화학회 01.10.2020
• Subjects: 학제간연구; Adaptive Capacity; Climate Impact; 226 Low-level Local Entities; Climate Vulnerability; Principal Component Analysis; Classification
• ISSN: 2093-5919; 2586-2782
• DOI: 10.15531/ksccr.2020.11.5.507

This study aims to classify 226 local entities in Korea according to the type of climate vulnerability to provide appropriate climate adaptation policies that consider local characteristics. Using climate impact as the y-axis and adaptive capacity as the x-axis, we can create four types of vulnerability and plot 226 local entities on a quadrant. Unlike previous studies in this field, we consider the concept of uncertainty while calculating the exposure index, which is a climate impact component, by estimating the probability of disaster risk. In addition, using the principal component analysis method to calculate weights for each index increased the statistical robustness to our study. The results indicated that Type 1 areas (those with high climate impact and high adaptive capacity) included coastal regions or geographically vulnerable places that could overcome climatic restrictions through their high adaptive capacity. Type 2 areas (those with high climate impact and low adaptive capacity) were the most vulnerable, and included several local areas on the west coast of the Korean peninsula. Socially vulnerable groups in this area may need support from the central government to avoid negative climate impacts. Local entities in Type 3 areas (those with low climate impact and low adaptive capacity) pay less attention to climate adaptation issues, but they are exposed to the potential risks of climate impacts due to their low adaptive capacity. For Type 3 specifically, further education and enhancing public awareness on climate change adaptation are required. Last, Type 4 areas (low climate impact and high adaptive capacity) include mostly urban areas where vulnerability is the lowest, yet potential risk could be the highest due to large populations and extensive infrastructure. The findings will contribute to map out locally specified climate change adaptation policies in each local entity. KCI Citation Count: 0