Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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Cluster exploration of water pipe leak and complaints surveillance using a spatio-temporal statistical analysis

스캔통계량 분석을 통한 상수도 누수 및 수질 민원 발생 클러스터 탐색

  • Juwon Lee (Korea Institute of Civil Engineering and Building Technology, The Department of Environmental Research) ;
  • Eunju Kim (Korea Institute of Civil Engineering and Building Technology, The Department of Environmental Research) ;
  • Sookhyun Nam (Korea Institute of Civil Engineering and Building Technology, The Department of Environmental Research) ;
  • Tae-Mun Hwang (Korea Institute of Civil Engineering and Building Technology, The Department of Environmental Research)
  • 이주원 (한국건설기술연구원 환경연구본부) ;
  • 김은주 (한국건설기술연구원 환경연구본부) ;
  • 남숙현 (한국건설기술연구원 환경연구본부) ;
  • 황태문 (한국건설기술연구원 환경연구본부)
  • Received : 2023.08.14
  • Accepted : 2023.09.19
  • Published : 2023.10.15
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Abstract

In light of recent social concerns related to issues such as water supply pipe deterioration leading to problems like leaks and degraded water quality, the significance of maintenance efforts to enhance water source quality and ensure a stable water supply has grown substantially. In this study, scan statistic was applied to analyze water quality complaints and water leakage accidents from 2015 to 2021 to present a reasonable method to identify areas requiring improvement in water management. SaTScan, a spatio-temporal statistical analysis program, and ArcGIS were used for spatial information analysis, and clusters with high relative risk (RR) were determined using the maximum log-likelihood ratio, relative risk, and Monte Carlo hypothesis test for I city, the target area. Specifically, in the case of water quality complaints, the analysis results were compared by distinguishing cases occurring before and after the onset of "red water." The period between 2015 and 2019 revealed that preceding the occurrence of red water, the leak cluster at location L2 posed a significantly higher risk (RR: 2.45) than other regions. As for water quality complaints, cluster C2 exhibited a notably elevated RR (RR: 2.21) and appeared concentrated in areas D and S, respectively. On the other hand, post-red water incidents of water quality complaints were predominantly concentrated in area S. The analysis found that the locations of complaint clusters were similar to those of red water incidents. Of these, cluster C7 exhibited a substantial RR of 4.58, signifying more than a twofold increase compared to pre-incident levels. A kernel density map analysis was performed using GIS to identify priority areas for waterworks management based on the central location of clusters and complaint cluster RR data.

Keywords

Acknowledgement

본 연구는 환경부의 재원으로 한국환경산업기술원의 상하수도 혁신 기술개발사업의 지원을 받아 연구되었습니다(2020002700004).

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