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Research Article / 우수학생논문상

An impact-based evaluation methodology for identifying manholes contributing to urban underground flooding

도시 지하공간 침수에 기여하는 맨홀의 영향도 기반 평가 방법론

Seongcheon Kwona
,
Giha Leeb
,
Jinhyeong Leec
,
Seungsoo Leed*
권 성천a
,
이 기하b
,
이 진형c
,
이 승수d*
aPh.D Student, School of Advance science and Technology Convergence, Kyungpook National University, Sangju, Korea
bProfessor, School of Advanced Science and Technology Convergence, Kyungpook National University, Sangju, Korea
cPh.D Student, School of Advance science and Technology Convergence, Kyungpook National University, Sangju, Korea
dResearch Fellow, Land and Environment Research Group, Korea Environment Institute, Sejong, Korea
a경북대학교 미래과학기술융합학부 박사과정
b경북대학교 미래과학기술융합학부 교수
c경북대학교 미래과학기술융합학부 박사과정
d한국환경연구원 국토환경연구본부 연구위원
*Corresponding Author
28 February 2026. pp. 131-145
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Abstract

This study presents an impact-based evaluation methodology to quantitatively identify manholes with the highest influence on underground flooding among numerous urban drainage nodes in the vicinity of Seoul’s SNUniv. of Education Station. A coupled modeling framework integrating SWMM and a two-dimensional inundation model was employed to simulate various rainfall scenarios with different return periods (30-500 years) and durations (60-180 minutes). Key hydraulic parameters, including distance to subway entrances, overflow onset time, and cumulative overflow volume, were utilized to assess the relative influence of each manhole. Results indicated that manholes 8201, 2112, and 4100 near SNUniv. of Education Station consistently exhibited high impact, functioning as critical nodes that govern flood propagation in underground spaces. The proposed methodology provides a quantitative and practical framework that can support scientific decision-making for flood warning systems and priority management of manholes in urban drainage networks.

Keywords
Urban flooding
Underground inundation
Manhole impact assessment
SWMM
2D inundation

본 연구는 서울시 교대역 일대를 대상으로, 도시 내 다수의 맨홀 중 지하공간 침수에 미치는 영향이 높은 맨홀을 정량적으로 선별하기 위한 영향도 기반 평가 방법론을 제시하였다. 이를 위해 SWMM과 2차원 침수모형을 연계하여 다양한 재현기간(30-500년)과 지속기간(60-180분)의 강우 시나리오를 모의하였으며, 지하철 출입구 주변 맨홀의 거리, 역류 시점, 누적 월류량 등을 주요 변수로 활용하였다. 분석 결과, 교대역 인근의 맨홀 8201, 2112, 4100이 모든 조건에서 높은 영향도를 보이며 지하공간 침수 확산에 핵심적인 역할을 수행하는 것으로 나타났다. 제안된 방법론은 정성적 판단에 의존하던 기존 체계에 정량적 근거를 제공함으로써, 향후 지하공간 침수 예·경보 및 우선관리 대상 맨홀 선정을 위한 과학적이고 합리적인 의사결정 지원체계로 활용될 수 있을 것으로 기대된다.

키워드
도시침수
지하공간 침수
맨홀 영향도
SWMM
2차원 침수
References
1

Fan, J., Liu, B., Lei, T., Sun, Y., Ma, Y., Guo, R., Chen, D., Zhou, K., Li, S., and Gao, X. (2025). “Exploring how economic level drives urban flood risk.” Nature Communications, Vol. 16, No. 1, 4857.

10.1038/s41467-025-60267-640414900PMC12104414
2

Gangnam-gu Office (GO) (2023). Gangnam-gu Feng Shui disaster preparedness phase 2.

3

Jung, J.H., and Yoon, Y.H. (2023). Water resources design practice: 4th edition. Goomi Book.

4

Kawaike, K. (2002). Study on flood analysis method in urban area and its application to water resistance evaluation. Ph.D. Dissertation, University of Kyoto, Kyoto, Japan.

5

Keum, H.J., Kim, H.I., and Yeun, H.K. (2018). “Real-time forecast of rainfall impact on urban inundation.” Journal of the Korean Association of Geographic Information Studies, Vol. 21, No. 3, pp. 76-92.

6

Kim, B.S., and Sung, J.H. (2022). “Causes and improvement measures of the 2022 Gangnam flood under the climate change crisis.” Water for Future, Vol. 55, No. 10, pp. 6-12.

7

Kwon, S.C., Lee, G.H., Lee, S.S., Kim, Y.H., Song, M.G., and Lee, J.H. (2025). “Analysis of urban flood simulation considering dual-drainage and buildings. Journal of the Korean Society of Hazard Mitigation, Vol. 25, No. 1, pp. 13-26.

10.9798/KOSHAM.2025.25.1.13
8

Lee, D.G., and Park, I.H. (2025). “Analysis of urban flooding trend and risk based on rainfall patterns.” Journal of Korea Water Resources Association, Vol. 58, No. 5, pp. 385-398.

10.3741/JKWRA.2025.58.5.385
9

Lee, S.S., An, H.U., Kim, Y.S., Hur, Y.T., and Lee. D.E. (2020). “Data complement algorithm of a complex sewerage pipe system for urban inundation modeling.” Korean Journal of Agricultural Science, Vol. 47, No. 3, pp. 509-517.

10.7744/kjoas.20200040
10

Lee, S.S., Kim, B.M., Choi, H.J., and Noh, S.J. (2022). “A review on urban inundation modeling research in South Korea: 2001-2022.” Journal of Korea Water Resources Association, Vol. 55, No. 10, pp. 707-721.

11

Lee, S.S., Yang, I.J., Kim, S.B., Kang, T.U., Lee, M.H., and Noh, S.J. (2024). Establishment of urban inundation forecasting/ warning system following the enactment of the urban inundation prevention act. Korea Environment Institute, 2024-02, pp. 1-141.

12

Meijer, D., Van Bijnen, M., Langeveld, J., Korving, H., Post, J., and Clemens, F. (2018). “Identifying critical elements in sewer networks using graph-theory.” Water, Vol. 10, No. 2, 136.

10.3390/w10020136
13

Ministry of Environment (ME) (2019). Guideline of design flood estimation.

14

Ministry of Land, Infrastructure and Transport (MOLIT) (2009). River design standards and explanations. Korea Water Resources Association.

15

Ministry of Land, Infrastructure and Transport (MOLIT) (2011). Study on the improvement and supplement of probability rainfall.

16

Moon, H.T., Kim, J.S., Chen, J., Yoon, S.K., and Moon, Y.I. (2024). “Mitigating urban flood Hazards: Hybrid strategy of structural measures.” International Journal of Disaster Risk Reduction, Vol. 108, 104542.

10.1016/j.ijdrr.2024.104542
17

Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., and Veith, T.L. (2007). “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Transactions of the ASABE, Vol. 50, No. 3, pp. 885-900.

10.13031/2013.23153
18

Park, Y.K., Jung, B.S., and Kim, R.H. (2020). “Flood risk assessment for coastal cities considering sea level rise due to climate change.” Journal of the Korean Society of Hazard Mitigation, Vol. 20, No. 6, pp. 323-332.

10.9798/KOSHAM.2020.20.6.323
19

Rossman, L.A. (2010). “Modeling low impact development alternatives with SWMM.” Journal of Water Management Modeling, Vol. 6062, pp. 167-182.

10.14796/JWMM.R236-11
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 :2
  • Pages :131-145
  • Received Date : 2025-10-25
  • Revised Date : 2025-12-06
  • Accepted Date : 2025-12-17
  • DOI :https://doi.org/10.3741/JKWRA.2026.59.2.131
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