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2025 Vol.58, Issue 9 Preview Page

Special Issue: Blue-Green-Grey 도시홍수 방어

Investigation of spectral variability due to sediment material for water depth monitoring in sewer and stormwater pipes

하수/우수관 수심 모니터링을 위한 퇴적물 매질에 따른 분광 정보 변동성 검토

Gwangmin Oka
,
Hosoo Leeb
,
Yeonghwa Gwonc
,
Dongsu Kimd
,
Young Do Kime*
옥 광민a
,
이 호수b
,
권 영화c
,
김 동수d
,
김 영도e*
aPh.D Course, Department of Civil and Environmental Engineering, Myongji University, Yongin, Korea
bPh.D Course, Department of Civil and Environmental Engineering, Myongji University, Yongin, Korea
cPostdoctoral Researcher, River Experiment Center, Korea Institute of Civil Engineering and Building Technology, Andong, Korea
dProfessor, Department of Civil and Environmental Engineering, Dankook University, Yongin, Korea
eProfessor, Department of Civil and Environmental Engineering, College of Smart Systems Engineering, MyongJi University, Yongin, Korea
a명지대학교 토목환경공학과 박사과정
b명지대학교 토목환경공학과 박사과정
c한국건설기술연구원 하천실험센터 박사후연구원
d단국대학교 토목환경공학과 교수
e명지대학교 스마트시스템공과대학 스마트인프라공학부 건설환경공학전공 교수
*Corresponding Author
30 September 2025. pp. 805-813
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Abstract

This study examined the variability of spectral data according to sediment material for water depth monitoring in sewer and stormwater pipes. While spectral data-based depth monitoring has been consistently researched for many years, studies targeting enclosed environments such as sewers and stormwater pipes without a specific light source remain limited. During rainfall, various foreign substances present on road surfaces flow into sewers and stormwater pipes, leading to the formation of sediment deposits within the pipelines. The particle size of sediments influences reflectance intensity, with the visible, blue, and green wavelength bands responding sensitively to changes in particle size. Therefore, this study conducted indoor experiments to investigate the variability of spectral data according to actual sediment material entering sewers and stormwater pipes, aiming to achieve accurate depth monitoring. A halogen light source was used with an illuminance of 720 lx, and experiments were conducted under darkroom conditions with various particle sizes and sediment heights corresponding to different water depths. Spectral data were collected using a multispectral camera, and the collected multispectral images were processed using the Optimal Band Ratio Analysis (OBRA) method to estimate water depth. The results showed that the optimal band ratio and depth estimation accuracy varied depending on particle size. Furthermore, the optimal band ratio combination differed across sediment materials, indicating that a combination effective for one material may perform poorly for another. This study experimentally evaluated and analyzed these variations to improve the accuracy and applicability of sewer and stormwater pipe depth monitoring using spectral data, contributing to enhanced monitoring performance in such environments.

Keywords
Sediment material
Spectral data
Sewer and stormwater pipes
Water depth
OBRA

본 연구는 분광 정보를 활용한 하수/우수관 수심 모니터링에 있어서 매질에 따른 분광 정보 변동성 검토를 진행하였다. 분광 정보를 활용한 수심 모니터링은 오래전부터 꾸준히 연구되어 왔으나, 특정 광원이 없는 하수/우수관 같은 폐쇄 환경을 대상으로 한 연구는 여전히 미비하다. 강우 시 노면에 존재하는 다양한 이물질들이 관망으로 유입되어 관로에 퇴적되면서 퇴적물을 형성하는 문제점이 발생한다. 입자 크기에 따라 반사 강도가 달라지며, 가시광, 청색, 녹색 영역 파장이 입자 크기에 민감하게 반응한다. 따라서 본 연구는 실내 실험을 통해 정확한 수심 모니터링을 위한 실제 하수/우수관에 유입되는 퇴적물 매질에 따른 분광 정보 변동성을 확인하였다. 광원은 Halogen을 사용하였으며, 광도는 720lx로 진행하였다. 정확한 실험을 위해 암실 조건에서 다양한 입경별 퇴적물과 퇴적물 높이를 통한 수심에 따른 실험 case로 진행하였다. 다분광 카메라를 통해서 분광 정보를 수집하였으며, 수집된 다분광 이미지는 최적 밴드 탐색 기법(Optimal Band Ratio Analysis, OBRA)을 활용하여 수심을 산정하였다. 입경 조건에 따라 최적 밴드비와 수심 산정 정확도가 변화하는 것을 확인하였다. 매질별 최적 밴드비 조합이 다르게 나타나, 특정 매질에서 효과적인 밴드비 조합이 다른 매질에서는 성능이 저하될 수 있음을 확인하였다. 본 연구는 분광 정보를 활용한 관망 수심 모니터링 정확도 개선과 적용성을 향상시키기 위해 실험을 통해 평가하고 분석하였으며, 이를 통해서 관망 모니터링 정확도 향상에 기여할 수 있을 것으로 사료된다.

키워드
퇴적물 매질
분광 정보
관망
수심
OBRA
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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 : 58
  • No :9
  • Pages :805-813
  • Received Date : 2025-08-15
  • Accepted Date : 2025-09-04
  • DOI :https://doi.org/10.3741/JKWRA.2025.58.9.805
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