A sensitivity analysis approach of multi-attribute decision making technique to rank flood mitigation projects

Boosik Kang, Joo Heon Lee, Eun Sung Chung, Dongsu Kim, Young Do Kim

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

The goal of this study is to evaluate and rank the effectiveness of the Korean governments' Four Major River Restoration Projects. A hydraulic simulation model and geographic information system tools are used to analyze the flood mitigation effects provided by these projects. In addition, the rankings of four major rivers are derived using two sensitivity analyses to weight values and performance measures for Multi-Attribute Decision Making (MADM) technique. As a result, the flood risk presented by the Nakdong River can be most effectively decreased when considering these weights, and levee freeboards are the most critical criterion in the effectiveness ranking. The Youngsan River's flow capacity criterion is also critical for this problem. This study will be helpful in the robust prioritization of various water resources plans.

Original languageEnglish
Pages (from-to)1529-1539
Number of pages11
JournalKSCE Journal of Civil Engineering
Volume17
Issue number6
DOIs
StatePublished - Sep 2013

Keywords

  • flood mitigation
  • four major rivers restoration projects
  • Multi-Attribute Decision Making (MADM)
  • sensitivity analysis for MADM

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