2014
DOI: 10.3390/su6096141
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Water Resource Vulnerability Characteristics by District’s Population Size in a Changing Climate Using Subjective and Objective Weights

Abstract: Abstract:The goal of this study is to derive water resource vulnerability characteristics for South Korea according to individual district populations in a changing climate. The definition of water resource vulnerability in this study consists of potential flood damage and potential water scarcity. To quantify these vulnerabilities, key factors, or indicators affecting vulnerability, are integrated with a technique for order of preference by similarity to ideal solution (TOPSIS), which is a multi-criteria deci… Show more

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Cited by 32 publications
(20 citation statements)
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“…In North Korea, the demand for water has increased because of the increase in food production owing to limited imports [24]. Overall, the Korean Peninsula, having a relatively high population density (South Korea: 519; North Korea: 208) and limited water supply, has a high demand for municipal, industrial, and agricultural water [55].…”
Section: Implications For Agricultural Water Supply and Demand In Thementioning
confidence: 99%
“…In North Korea, the demand for water has increased because of the increase in food production owing to limited imports [24]. Overall, the Korean Peninsula, having a relatively high population density (South Korea: 519; North Korea: 208) and limited water supply, has a high demand for municipal, industrial, and agricultural water [55].…”
Section: Implications For Agricultural Water Supply and Demand In Thementioning
confidence: 99%
“…With speedy population growth and shift economic development, the constantly increasing demand for water in terms of sufficient quantities and satisfied qualities has forced researchers to draw optimal water resources management policies [1][2][3]. When the demand for water has reached the limits of what the natural system can provide, water shortage may become a major obstacle to social and economic development for the region.…”
Section: Introductionmentioning
confidence: 99%
“…There are a number of approaches for determining indicator weighting values, such as weighting assumption [54], the Analytic Hierarchy Process (AHP) [55], Delphi [56], and the Entropy method [57]. Among these methods, the Entropy method has been found effective in setting up weightings between a group of indicators.…”
Section: Establishing Weighting Values Between Indicatorsmentioning
confidence: 99%