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2026 Vol.59, Issue 7 Preview Page
Quantifying factors influencing inundation in frequency-based urban inundation maps using grid-based statistical tests: A case study of Andong City

격자 기반 통계검정을 통한 행정구역 단위 빈도별 도시 침수 지도의 영향 요인 정량화: 안동시 사례연구

Soonchan Parka
,
Changju Kimb
,
Hyejun Hanc
,
Heechan Hand*
박 순찬a
,
김 창주b
,
한 혜준c
,
한 희찬d*
aMaster’s Course, Department of Smart City Engineering, Inha University, Incheon, Korea
bPh.D. Course, Department of Smart City Engineering, Inha University, Incheon, Korea
cMaster’s Course, Department of Smart City Engineering, Inha University, Incheon, Korea
dAssistant Professor, Department of Civil Engineering, Inha University, Incheon, Korea
a인하대학교 스마트시티공학전공 석사과정
b인하대학교 스마트시티공학전공 박사과정
c인하대학교 스마트시티공학전공 석사과정
d인하대학교 사회인프라공학과 조교수
*Corresponding Author
31 July 2026. pp. 651-663
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Abstract

Reductions in pervious surfaces driven by climate extremes and rapid urbanization have increased inundation damage in urban areas. Flood-frequency urban urban inundation map provided by the Ministry of Environment delineate inundation extent and depth under extreme rainfall scenarios assuming capacity exceedance and failures of stormwater drainage facilities; however, quantitative linkages with key driving factors remain limited. This study focuses on Andong City (Gyeongsangbuk-do), where 30- and 50-year return-period urban inudation map were aligned to a 200 × 200 m grid. Observed meteorological data were preprocessed and spatially interpolated using Ordinary Kriging, and terrain/soil attributes together with imperviousness derived from detailed land-cover data were integrated on the same grid. Continuous predictors were evaluated using Welch’s t-test with Benjamini-Hochberg FDR correction and summarized by Cohen’s d, while categorical predictors were assessed using chi-squared tests with Monte Carlo p-values and Cramér’s V. Results indicate increasing tendencies of relative humidity and imperviousness in inundated grids, and significant shifts in slope and soil-texture distributions, with low-slope and fine-textured classes over-represented in inundated areas. The proposed grid-based statistical framework supports quantitative identification of influential factors associated with flood-frequency urban inudation maps.

Keywords
Chi-squared test
Grid-based statistical test
Monte Carlo p-value
Ordinary Kriging
Urban inudation map
Welch’s t-test

기상이변과 도시화로 인한 투수면적 감소는 도시지역 침수 피해를 증가시킨다. 기후에너지환경부가 제공하는 빈도별 도시침수지도는 극한 강우에서 우수배제시설의 용량 초과, 고장을 가정해 침수범위와 침수심을 제시하지만, 영향요인과의 정량적 연계는 제한적이다. 본 연구는 경상북도 안동시를 대상으로 30·50년 빈도 침수지도를 200×200m 격자에 정렬하고, 관측 기상자료는 전처리 및 Ordinary Kriging 공간보간을 적용하였고, 지형·토양 및 세분류 토지피복 기반 불투수율을 동일 격자에 통합하였다. 연속형 인자는 Welch’s t-test와 BH-FDR 보정, Cohen’s d로, 범주형 인자는 Chi-squared test 과 Monte Carlo p-value, Cramér’s V로 침수·미침수 집단의 차이를 평가하였다. 분석 결과 상대습도와 불투수율은 침수 격자에서 증가 경향을 보였고, 경사·토성 분포는 유의하게 달라 저경사·세립질 범주가 과대표현되었다. 본 연구는 빈도별 침수지도 기반 영향요인 정량화를 위한 격자 기반 통계 프레임워크를 제시하고자 한다.

키워드
Chi-squared test
격자 기반 통계검정
Monte Carlo p-value
Ordinary Kriging
도시침수지도
Welch’s t-test
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Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 59
  • No :7
  • Pages :651-663
  • Received Date : 2026-03-11
  • Revised Date : 2026-04-30
  • Accepted Date : 2026-05-07
  • DOI :https://doi.org/10.3741/JKWRA.2026.59.7.651
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