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A Review of Underground Pipeline Leakage and Sinkhole Monitoring Methods Based on Wireless Sensor Networking

Author

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  • Haibat Ali

    (Civil Engineering, Dong-A University, Busan, P4401-1, 550 Bungil 37, Nakdong-Dero, Saha-Gu 49315, Korea)

  • Jae-ho Choi

    (Civil Engineering, Dong-A University, Busan, P4401-1, 550 Bungil 37, Nakdong-Dero, Saha-Gu 49315, Korea)

Abstract

Major metropolitan cities worldwide have extensively invested to secure utilities and build state-of-the-art infrastructure related to underground fluid transportation. Sewer and water pipelines make our lives extremely convenient when they function appropriately. However, leakages in underground pipe mains causes sinkholes and drinking-water scarcity. Sinkholes are the complex problems stemming from the interaction of leaked water and ground. The aim of this work is to review the existing methods for monitoring leakage in underground pipelines, the sinkholes caused by these leakages, and the viability of wireless sensor networking (WSN) for monitoring leakages and sinkholes. Herein, the authors have discussed the methods based on different objectives and their applicability via various approaches—(1) patent analysis; (2) web-of-science analysis; (3) WSN-based pipeline leakage and sinkhole monitoring. The study shows that the research on sinkholes due to leakages in sewer and water pipelines by using WSN is still in a premature stage and needs extensive investigation and research contributions. Additionally, the authors have suggested prospects for future research by comparing, analyzing, and classifying the reviewed methods. This study advocates collocating WSN, Internet of things, and artificial intelligence with pipeline monitoring methods to resolve the issues of the sinkhole occurrence.

Suggested Citation

  • Haibat Ali & Jae-ho Choi, 2019. "A Review of Underground Pipeline Leakage and Sinkhole Monitoring Methods Based on Wireless Sensor Networking," Sustainability, MDPI, vol. 11(15), pages 1-24, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4007-:d:251222
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    References listed on IDEAS

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    1. K. Joyce & S. Samsonov & S. Levick & J. Engelbrecht & S. Belliss, 2014. "Mapping and monitoring geological hazards using optical, LiDAR, and synthetic aperture RADAR image data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 137-163, September.
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    Cited by:

    1. Sheetal Ghorpade & Marco Zennaro & Bharat Chaudhari, 2021. "Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues," Future Internet, MDPI, vol. 13(8), pages 1-26, August.
    2. Amjed Hassan & Salaheldin Elkatatny & Abdulazeez Abdulraheem, 2019. "Intelligent Prediction of Minimum Miscibility Pressure (MMP) During CO 2 Flooding Using Artificial Intelligence Techniques," Sustainability, MDPI, vol. 11(24), pages 1-16, December.
    3. Haibat Ali & Jae-ho Choi, 2019. "Risk Prediction of Sinkhole Occurrence for Different Subsurface Soil Profiles due to Leakage from Underground Sewer and Water Pipelines," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    4. Kai Lv & Yudong Xie & Xinbiao Zhang & Yong Wang, 2020. "Development of Savonius Rotors Integrated into Control Valves for Energy Harvesting," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    5. Gabriele Medio & Giada Varra & Çağrı Alperen İnan & Luca Cozzolino & Renata Della Morte, 2024. "Sinkhole Risk-Based Sensor Placement for Leakage Localization in Water Distribution Networks with a Data-Driven Approach," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    6. Badir S. Alsaeed & Dexter V. L. Hunt & Soroosh Sharifi, 2024. "A Sustainable Water Resources Management Assessment Framework (SWRM-AF) for Arid and Semi-Arid Regions—Part 2: Refining the Conceptual Framework Using the Delphi Technique," Sustainability, MDPI, vol. 16(11), pages 1-26, May.
    7. Meng Zhang & Jiatong Ling & Buyun Tang & Shaohua Dong & Laibin Zhang, 2022. "A Data-Driven Based Method for Pipeline Additional Stress Prediction Subject to Landslide Geohazards," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    8. Hafiz Suliman Munawar & Fahim Ullah & Siddra Qayyum & Sara Imran Khan & Mohammad Mojtahedi, 2021. "UAVs in Disaster Management: Application of Integrated Aerial Imagery and Convolutional Neural Network for Flood Detection," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    9. Shihab Uddin & Qing Lu & Hung Nguyen, 2021. "Truck Impact on Buried Water Pipes in Interdependent Water and Road Infrastructures," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
    10. Zi-Yun Zhang & Fang-Le Peng & Chen-Xiao Ma & Hui Zhang & Su-Juan Fu, 2021. "External Benefit Assessment of Urban Utility Tunnels Based on Sustainable Development," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    11. Hariklia D. Skilodimou & George D. Bathrellos, 2021. "Natural and Technological Hazards in Urban Areas: Assessment, Planning and Solutions," Sustainability, MDPI, vol. 13(15), pages 1-5, July.

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