Leak Detection in Buried Pipes Using Ground Penetrating Radar - A Comparative Study

被引:0
|
作者
Abouhamad, M. [1 ]
Zayed, T. [1 ]
Moselhi, O. [1 ]
机构
[1] Concordia Univ, Dept Bldg Civil & Environm Engn, 1515 St Catherine St W, Montreal, PQ H3G 1M8, Canada
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Ground Penetrating Radar (GPR) has developed lately as an effective leak detection technique in Water Distribution Systems (WDS). Using Electromagnetic waves, GPR identifies leak locations through detecting water circulation from leaks causing voids or anomalies in pipe depth caused by changes of dielectric constant of surrounding soil. The literature covering GPR in leak detection is diverse and scattered, albeit, no solid recommendations have been delivered so far. This paper provides a comparative study of methods presented in literature to detect leaks in WDS using GPR. Analysis results are grouped under three test types; namely, outdoor field tests, numerical simulations, and, laboratory experiments. The conditions of which are discussed in details along the advantages and limitations of each test type. The principal analysis methods are presented ranging from simple visual inspection to more complicated focusing algorithms and velocity maps. GPR effectiveness as a reliable tool for leak detection can be confirmed under controlled testing conditions. Nevertheless, more experimental work is required to establish a best practice for detecting leaks using GPR for actual cases.
引用
收藏
页码:417 / 424
页数:8
相关论文
共 50 条
  • [41] Detection of ground ice using ground penetrating radar method
    Gennady M.Stoyanovich
    Viktor V.Pupatenko
    Yury A.Sukhobok
    Sciences in Cold and Arid Regions, 2015, 7 (05) : 541 - 546
  • [42] Detection of ground ice using ground penetrating radar method
    Stoyanovich, Gennady M.
    Pupatenko, Viktor V.
    Sukhobok, Yury A.
    SCIENCES IN COLD AND ARID REGIONS, 2015, 7 (05): : 541 - 546
  • [43] Two fast buried pipe detection schemes in Ground Penetrating Radar images
    Gamba, P
    Belotti, V
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (12) : 2467 - 2484
  • [44] Buried target detection method for ground penetrating radar based on deep learning
    Wang, Hui
    Ouyang, Shan
    Liu, Qinghua
    Liao, Kefei
    Zhou, Lijun
    JOURNAL OF APPLIED REMOTE SENSING, 2022, 16 (01)
  • [45] A study of the effect of buried biomass on ground-penetrating radar performance
    Niltawach, N
    Chen, CC
    Johnson, JT
    Baertlein, BA
    PASSIVE MILLIMETER-WAVE IMAGING TECHNOLOGY VI AND RADAR SENSOR TECHNOLOGY VII, 2003, 5077 : 133 - 144
  • [46] Ground Penetrating Radar for Buried Explosive Devices Detection: A Case Studies Review
    Machado Brito-da-Costa, Andreia
    Martins, Diana
    Rodrigues, Diogo
    Fernandes, Luis
    Moura, Rui
    Madureira-Carvalho, Aurea
    AUSTRALIAN JOURNAL OF FORENSIC SCIENCES, 2022, 54 (04) : 559 - 578
  • [47] HISTOGRAM OF GRADIENT FEATURES FOR BURIED THREAT DETECTION IN GROUND PENETRATING RADAR DATA
    Torrione, Peter
    Morton, Kenneth D.
    Sakaguchi, Rayn
    Collins, Leslie M.
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3182 - 3185
  • [48] A Least Mean Square Approach to Buried Object Detection in Ground Penetrating Radar
    Temlioglu, Eyyup
    Erer, Isin
    Kumlu, Deniz
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4833 - 4836
  • [49] Estimation of snow depth and detection of buried objects using airborne Ground Penetrating Radar in Indian Himalaya
    Negi, H. S.
    Snehmani
    Thakur, N. K.
    Sharma, J. K.
    CURRENT SCIENCE, 2008, 94 (07): : 865 - 870
  • [50] Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data
    Moalla, Mahdi
    Frigui, Hichem
    Karem, Andrew
    Bouzid, Abdelhamid
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (10): : 7022 - 7034