Water Leak Detection: A Comprehensive Review of Methods, Challenges, and Future Directions

被引:1
|
作者
Farah, Elias [1 ]
Shahrour, Isam [2 ]
机构
[1] Holy Spirit Univ Kaslik USEK, Sch Engn, Dept Civil Engn, POB 446, Jounieh, Lebanon
[2] Univ Lille, Lab Genie Civil & Geoenvironm LGCgE, ULR 4515, F-59650 Lille, France
关键词
bibliometric analysis; leak detection; real-time monitoring; smart management; water distribution systems; DISTRIBUTION-SYSTEM; NETWORKS; MODEL; CALIBRATION; LOCATION; DEMAND;
D O I
10.3390/w16202975
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper provides a comprehensive review of the methods and techniques developed for detecting leaks in water distribution systems, with a focus on highlighting their strengths, weaknesses, and areas for future research. Given the substantial economic, social, and environmental impacts of undetected leaks, timely detection and precise location of leaks are critical concerns for water authorities. This review categorizes existing methods into traditional approaches, such as manual sounding, and modern techniques involving smart water management and sensor technologies. A multidimensional bibliometric analysis was employed to systematically identify, select, and evaluate 600 scholarly articles on water leak detection, sourced from the Scopus database over a 23-year period (2000-2023). The paper evaluates each method based on leak sensitivity, burst detection, continuous monitoring, alarm accuracy, and implementation costs. Novel insights include an analysis of emerging smart water technologies and their integration into real-world water distribution networks, offering improved efficiency in leak detection. The paper also identifies key gaps in current research and suggests future directions for advancing the accuracy and cost-effectiveness of these technologies.
引用
收藏
页数:26
相关论文
共 50 条
  • [41] Photoplethysmography in Wearable Devices: A Comprehensive Review of Technological Advances, Current Challenges, and Future Directions
    Kim, Kwang Bok
    Baek, Hyun Jae
    ELECTRONICS, 2023, 12 (13)
  • [42] Enhancing interpretability and accuracy of AI models in healthcare: a comprehensive review on challenges and future directions
    Ennab, Mohammad
    Mcheick, Hamid
    FRONTIERS IN ROBOTICS AND AI, 2024, 11
  • [43] A comprehensive review of machine learning applications for internet of nano things: challenges and future directions
    Aryan Rana
    Deepika Gautam
    Pankaj Kumar
    Kranti Kumar
    Athanasios V. Vasilakos
    Ashok Kumar Das
    Vivekananda Bhat K
    Artificial Intelligence Review, 58 (7)
  • [44] A Comprehensive Review of Inhaled Nitric Oxide Therapy: Current Trends, Challenges, and Future Directions
    Kaplish, Divyanshi
    Vagha, Jayant D.
    Meshram, Revat J.
    Lohiya, Sham
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (02)
  • [45] BK Polyomavirus Infection in Kidney Transplantation: A Comprehensive Review of Current Challenges and Future Directions
    Nourie, Nicole
    Boueri, Celine
    Minh, Hoang Tran
    Divard, Gillian
    Lefaucheur, Carmen
    Salmona, Maud
    Gressens, Simon B.
    Louis, Kevin
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (23)
  • [46] Federated Learning: Challenges, Methods, and Future Directions
    Li, Tian
    Sahu, Anit Kumar
    Talwalkar, Ameet
    Smith, Virginia
    IEEE SIGNAL PROCESSING MAGAZINE, 2020, 37 (03) : 50 - 60
  • [47] Review of Water Leak Detection and Localization Methods through Hydrophone Technology
    Bakhtawar, Beenish
    Zayed, Tarek
    JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2021, 12 (04)
  • [48] Online offensive behaviour in socialmedia: Detection approaches, comprehensive review and future directions
    Chinivar, Sneha
    Roopa, M. S.
    Arunalatha, J. S.
    Venugopal, K. R.
    ENTERTAINMENT COMPUTING, 2023, 45
  • [49] A review of memory leak detection methods
    School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China
    J. Comput. Inf. Syst., 19 (8161-8168):
  • [50] A comprehensive survey on recent feature selection methods for mixed data: Challenges, solutions and future directions
    Warkiani, Mahshid Ebrahimi
    Moattar, Mohammad Hossein
    NEUROCOMPUTING, 2025, 623