| Title |
A Study on the Designation and Management Strategies of Water Disaster Special Management Areas Considering Socio-Economic Factors |
| Authors |
정윤환(Jeong, Yoon-Hwan) ; 김병식(Kim, Byung Sik) ; 홍승호(Hong, Seung Ho) |
| DOI |
https://doi.org/10.12652/Ksce.2026.46.2.0137 |
| Keywords |
물재해 특별관리지역; 사회경제적 영향성 지수; K-평균 군집분석; 공간적 우선순위 선정 Water disaster special management area; Socio-Economic Impact Index (SEII); K-means clustering; Spatial prioritization |
| Abstract |
To overcome the limitations of existing disaster prevention policies focused heavily on physical hydrological conditions, this study proposes the introduction of ‘Water Disaster Special Management Areas’ and a spatial prioritization scheme that comprehensively reflects the socio-economic impacts of extreme rainfall events caused by climate change. To this end, the Socio-Economic Impact Index(SEII) was calculated by applying weights derived from a Pearson correlation analysis between various socio-economic baseline indicators, such as population density, the proportion of vulnerable populations, and financial independence, and historical flood damage amounts. A K-means clustering analysis conducted on data from 229 local municipalities nationwide identified 30 municipalities as the ‘Very High’ risk group. Furthermore, a spatial overlay analysis using data from large-scale new development districts (with a land area of 1,000,000 m2 or more) within these municipalities revealed distinct spatial characteristics of vulnerability: the Seoul metropolitan area is predominantly residential-focused, whereas non-metropolitan areas are industrial-focused. Building upon these findings, and in practical connection with the recently enacted ‘Act on Prevention of Inundation Damage in Urban River Basins,’ this study established quantitative criteria to prioritize the application of budget-intensive disaster prevention measures, such as
upgrading to a 100-year design frequency and implementing deep stormwater storage tunnels. Ultimately, the results of this study are expected to serve as an objective decision-support tool to efficiently allocate limited national disaster management resources and enhance the effectiveness of disaster prevention policies, moving beyond uniform management based solely on administrative boundaries. |