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Snow Vulnerability Analysis in Jeolla-do, South Korea using Entropy Theory

2019; Korean Society of Hazard Mitigation; Volume: 19; Issue: 5 Linguagem: Inglês

10.9798/kosham.2019.19.5.263

2287-6723

Joonhyeok Ha, Heeseong Park, Gunhui Chung,

Diverse Approaches in Healthcare and Education Studies

Along with heavy rains and typhoons, heavy snow is one of the most common and major natural disasters that regularly occur in Korea; these snow events are especially dangerous in winter. However, since past heavy snow damage has mainly occurred in agricultural areas and has caused minimal economic damage, little research has been conducted on these disaster events. Recently, interest in heavy snow damage research has increased due to heavy casualties and frequent damage. In this study, a Snow Vulnerability Index for Jeolla province was calculated using a Pressure-State-Response (PSR) structure using Pressure, State, and Response Indices. The weights among the studied factors were calculated using the entropy method. The results of this study can be used to determine high-priority areas for large-scale heavy snow disaster prevention projects. Keywords: Entropy, Heavy Snow Damage, Natural Disasters, PSR