This study applies the concept of risk defined by IPCC’s fifth assessment report to Daegu City, Ulsan City, Gyeongsangbuk Province, and Gangwon Province to assess and analyze snow disaster risks. Sub-indicators of three hazards, six exposures, four vulnerabilities, and five adaptive capacities were selected, and spatial information based on grids or administrative districts was constructed. The weight of each indicator was calculated with the Analytic Hierarchy Process (AHP), and the maximum inconsistency of the expert survey result was 9.86%, indicating high consistency. The results show that administrative districts with an space average risk of “very high” are Ulleung, Gangneung, Sokcho, Yangyang, Pyeongchang, Goseong, Donghae, Samcheok, and Jeongseon, accounting for 16.7% of the entire administrative district. One region has a “high” risk, Taebaek (1.9%), and those with a “moderately high” risk were Uljin and Inje (3.8%). These regions have very high levels of hazards, very low exposure, very high vulnerability, and low adaptive capacity; hence, hazard, vulnerability, and adaptive capacity had a significant effect on the increased risk. Pyeongchang had the highest standard deviation of gridded risk among the 12 regions with a risk above moderately high. The standard deviation of gridded risk for Pyeongchang was estimated to be 1.0 with the highest value, followed by Inje, with 0.69, and Jeongseon, with 0.55; therefore, differentiated climate change adaptation measures should be established according to gridded risks.
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