Gyumin Lee
Sungkyunkwan University
19 Papers
22 Citations
Gyumin Lee is an academic researcher from Sungkyunkwan University. The author has contributed to research in topics: Vulnerability assessment & Flood myth. The author has an hindex of 4, co-authored 19 publications.
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Papers
MCDM Approach for Identifying Urban Flood Vulnerability under Social Environment and Climate Change
TL;DR: Lee et al. as discussed by the authors examined a method for conducting flood vulnerability assessments based on urban environmental and social characteristics, and established a vulnerability assessment procedure consisting of the following three steps: criteria and weights determination using Delphi and Entropy methods, data acquis...
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Framework to prioritize watersheds for diffuse pollution management in the Republic of Korea: application of multi-criteria analysis using the Delphi method
TL;DR: A new risk-based approach for ranking and prioritizing catchments is developed, developing a framework to prioritize catchments by considering the characteristics of polluted runoff from non-point sources, and provides valuable information for the Ministry of Environment to use to identify control areas and manage non- point source pollution.
Smart Water Grid Research Group Project: An Introduction to the Smart Water Grid Living-Lab Demonstrative Operation in YeongJong Island, Korea
TL;DR: This study introduces the development of SWG core element technologies (Intelligent water source management and distribution system, Smart water distribution network planning/control/operation strategy establishment, AMI network and device development, Integrated management of bi-directional smart water information), and operation solutions (Smart water statistics information, Real-time demand-supply analysis, and Decision support system) through a field operation and testing in the living lab.
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MCDM Approach for Flood Vulnerability Assessment using TOPSIS Method with α Cut Level Sets
TL;DR: The fuzzy TOPSIS method based on -cut level sets is found to have a higher correlation rate than the other methods, and thus, it can reduce the difference of the rankings which uses crisp and fuzzy data.