Utilizing Calibration Model for Water Distribution Network Leakage Detection

Leakage presents a significant challenge in water distribution network (WDN) planning and management. This study introduces a novel methodology for hydraulic model calibration and leak detection based on MCMC-Statistical Distance. The central hypothesis posits that the presence of leaks induces fluc...

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Main Authors: Geumchae Shin, Soon Ho Kwon, Suhyun Lim, Seungyub Lee
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/69/1/105
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author Geumchae Shin
Soon Ho Kwon
Suhyun Lim
Seungyub Lee
author_facet Geumchae Shin
Soon Ho Kwon
Suhyun Lim
Seungyub Lee
author_sort Geumchae Shin
collection DOAJ
description Leakage presents a significant challenge in water distribution network (WDN) planning and management. This study introduces a novel methodology for hydraulic model calibration and leak detection based on MCMC-Statistical Distance. The central hypothesis posits that the presence of leaks induces fluctuations in estimated pipe roughness coefficients (PRCs) as the pipe flow changes, reflecting the altered behavior of leaking pipes in energy dissipation. The proposed model comprises two distinct algorithms: (1) PRC estimation using MCMC and (2) a leakage detection algorithm employing a Kolmogorov–Smirnov test. Demonstrated in a simple water distribution network with various scenarios, the results illustrate the model’s potential for real-time leak detection.
format Article
id doaj-art-b01eafb3b5d44ec5818ebd2e321b52ee
institution OA Journals
issn 2673-4591
language English
publishDate 2024-09-01
publisher MDPI AG
record_format Article
series Engineering Proceedings
spelling doaj-art-b01eafb3b5d44ec5818ebd2e321b52ee2025-08-20T02:11:25ZengMDPI AGEngineering Proceedings2673-45912024-09-0169110510.3390/engproc2024069105Utilizing Calibration Model for Water Distribution Network Leakage DetectionGeumchae Shin0Soon Ho Kwon1Suhyun Lim2Seungyub Lee3Department of Civil and Environmental Engineering, Hannam University, Daejeon 34430, Republic of KoreaDepartment of Civil and Environmental Engineering, Hannam University, Daejeon 34430, Republic of KoreaDepartment of Civil and Environmental Engineering, Hannam University, Daejeon 34430, Republic of KoreaDepartment of Civil and Environmental Engineering, Hannam University, Daejeon 34430, Republic of KoreaLeakage presents a significant challenge in water distribution network (WDN) planning and management. This study introduces a novel methodology for hydraulic model calibration and leak detection based on MCMC-Statistical Distance. The central hypothesis posits that the presence of leaks induces fluctuations in estimated pipe roughness coefficients (PRCs) as the pipe flow changes, reflecting the altered behavior of leaking pipes in energy dissipation. The proposed model comprises two distinct algorithms: (1) PRC estimation using MCMC and (2) a leakage detection algorithm employing a Kolmogorov–Smirnov test. Demonstrated in a simple water distribution network with various scenarios, the results illustrate the model’s potential for real-time leak detection.https://www.mdpi.com/2673-4591/69/1/105calibrationsimulation-based approachasset management
spellingShingle Geumchae Shin
Soon Ho Kwon
Suhyun Lim
Seungyub Lee
Utilizing Calibration Model for Water Distribution Network Leakage Detection
Engineering Proceedings
calibration
simulation-based approach
asset management
title Utilizing Calibration Model for Water Distribution Network Leakage Detection
title_full Utilizing Calibration Model for Water Distribution Network Leakage Detection
title_fullStr Utilizing Calibration Model for Water Distribution Network Leakage Detection
title_full_unstemmed Utilizing Calibration Model for Water Distribution Network Leakage Detection
title_short Utilizing Calibration Model for Water Distribution Network Leakage Detection
title_sort utilizing calibration model for water distribution network leakage detection
topic calibration
simulation-based approach
asset management
url https://www.mdpi.com/2673-4591/69/1/105
work_keys_str_mv AT geumchaeshin utilizingcalibrationmodelforwaterdistributionnetworkleakagedetection
AT soonhokwon utilizingcalibrationmodelforwaterdistributionnetworkleakagedetection
AT suhyunlim utilizingcalibrationmodelforwaterdistributionnetworkleakagedetection
AT seungyublee utilizingcalibrationmodelforwaterdistributionnetworkleakagedetection