다기준 의사결정기법의 불확실성 분석기법을 이용한 기후변화 취약성에 대한 지역별 우선순위 결정

Translated title of the contribution: Spatial prioritization of climate change vulnerability using uncertainty analysis of multi-criteria decision making method

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, robustness index and uncertainty analysis were proposed to quantify the risk inherent in the process of climate change vulnerability assessment. The water supply vulnerability for six metropolitan cities (Busan, Daegu, Incheon, Gwangju, Daejeon, and Ulsan), except for Seoul, were prioritized using TOPSIS, a kind of multi-criteria decision making method. The robustness index was used to analyze the possibility of rank reversal and the uncertainty analysis was introduced to derive the minimum changed weights of the criteria that determine the rank reversal between any paired cities. As a result, Incheon and Daegu were found to be very vulnerable and Daegu and Busan were derived to be very sensitive. Although Daegu was relatively vulnerable against the other cities, it can be largely improved by developing and performing various climate change adaptation measures because it is more sensitive. This study can be used as a preliminary assessment for establishing and planning climate change adaptation measure.
Translated title of the contributionSpatial prioritization of climate change vulnerability using uncertainty analysis of multi-criteria decision making method
Original languageKorean
Pages (from-to)121-128
Number of pages8
Journal한국수자원학회 논문집
Volume50
Issue number2
DOIs
StatePublished - Feb 2017

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