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지하차도 침수 예·경보를 위한 실시간 수문 모형 개발

Research output: Contribution to journalArticlepeer-review

Abstract

This study developed a real-time flood early-warning model for the ○○○ underpass in Gwacheon using 1-minute rainfall data. Runoff generation was represented by the SCS-CN loss function and the Clark unit hydrograph, while downstream translation and attenuation were modeled using Lag & K routing to compactly represent travel time delays and peak damping among road sub-catchments. To reflect the uncertainty arising from blockage and capacity reduction by leaves/debris, the storm-inlet efficiency was introduced as a scenario coefficient ranging from 0 to 1. Under configurations comparable to the commercial HEC-HMS model, the proposed model exhibited comparable performance in terms of RMSE, peak discharge, time-to-peak, and total inflow, confirming its reliability. For the real flooding event, calibration targeting the arrival time corresponding to a 10-cm water depth reproduced observations most closely at 85% inlet efficiency; with more conservative assumptions (75-80%), the arrival time occurred earlier, enabling the formulation of operational guidelines from a flood-forecast lead-time perspective. The proposed model proved its practical utility as an operational tool for rapidly estimating the expected arrival times of automated gate closures and establishing warning thresholds for underpasses.
Original languageKorean
Pages (from-to)121-132
Number of pages10
Journal한국방재학회논문집
Volume25
Issue number6
DOIs
StatePublished - Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Underpass Flooding
  • Real-Time Early Warning
  • Storm Inlet Efficiency

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