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Risk Assessment of Heavy Snowfall Using PROMETHEE - The Case of Gangwon Province -

PROMETHEE 기법을 이용한 폭설위험도 평가 - 강원도 지역을 중심으로 -

  • Received : 2014.06.11
  • Accepted : 2015.01.26
  • Published : 2015.02.28

Abstract

This study has been carried out to evaluate heavy snowfall risk of local governments in Gangwon province to prepare for the heavy snowfall disaster caused by abnormal climate. In doing so, the main influential factors of damage caused by snowfall have been reviewed by analyzing literature and data related to damage of snowfall. According to these data, thirteen evaluation criteria have been set. The weights of each evaluation criterion has been determined by using eigenvector method proposed by AHP. And PROMETHEE which is merited with ranking preference, among multi-criteria decision making methods, has been utilized to evaluate the level of risks for each region. As a result, Samcheok-city has been found to be with the highest level of risk among the 18 regions in Gangwon province. Further, Gangneung, Pyeongchang and Donghae city have exhibited the next high level of risk respectively. The results from net outranking flow calculation have been classified into 3 classes according to quartile method for review. The review has revealed that more regions with high risk are located in Yeongdong region than Yeongseo region. For verification of results of this study, bivariate correlation analysis has been carried out with the data on damage in the past. The correlation coefficient has been 0.586 which indicates statistically high level of correlation. Finally, GAIA plane analysis has been performed to analysis and contemplate relation and feature of each evaluation criterion and alternative visually. The result of this study is expected to be utilized as the basic information for establishment of prevention of heavy snow disaster in a macro perspective in the future.

Keywords

PROMETHEE;MCDM;AHP;Heavy Snow Risk

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Cited by

  1. Grid-Based Flood Risk Mapping Considering Indices of Regional Characteristics vol.18, pp.7, 2018, https://doi.org/10.9798/KOSHAM.2018.18.7.513

Acknowledgement

Supported by : 국토교통부