IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v39y2025i9d10.1007_s11269-025-04167-w.html
   My bibliography  Save this article

A Pipeline Leakage Detection Technique Using Ground Penetrating Radar Polarization Method

Author

Listed:
  • Ran Wang

    (China University of Mining and Technology (Beijing))

  • Fan Cui

    (China University of Mining and Technology (Beijing))

  • Guoqi Dong

    (China University of Mining and Technology (Beijing))

  • Xiaoxue Zhao

    (China University of Mining and Technology (Beijing))

  • Qi Cheng

    (China University of Mining and Technology (Beijing))

  • Guixin Zhang

    (China University of Mining and Technology (Beijing))

  • Mengli Zhang

    (General Prospecting Institute of China National Administration of Coal Geology)

Abstract

Rapid detection of leaks in water distribution systems is conducive to saving resources and protecting the environment. Ground-penetrating radar (GPR) is an efficient and economical nondestructive testing technique that can realize the rapid detection of pipeline leaks. However, because the diffraction characteristics of the leakage area are not obvious, it is difficult for the traditional GPR to accurately extract the scattering information of the leakage area in the complex buried environment. This paper proposes a fast pipeline leakage detection method based on eigenvalue decomposition with full polarimetric ground-penetrating radar (FP-GPR). Aiming at the limitations of the traditional H-α decomposition regarding parameter instability and computational efficiency, we propose more stable and computationally efficient substitution parameters h and q. Based on the roughness state of the interface in the leakage area and the saturation distribution of the soil, we analyze the influencing factors of the polarized rotating field. Numerical simulations validate the workflow of the method, and modeling experiments verify the method's applicability in engineering. The results show that pipe leakage leads to a decrease in α and an increase in H. The H-q and h-q planar classifiers are more favorable for pipeline leakage identification. The method can be adapted to rapidly detect pipe leakage in complex scenarios, which is significant for managing and maintaining urban water distribution systems.

Suggested Citation

  • Ran Wang & Fan Cui & Guoqi Dong & Xiaoxue Zhao & Qi Cheng & Guixin Zhang & Mengli Zhang, 2025. "A Pipeline Leakage Detection Technique Using Ground Penetrating Radar Polarization Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(9), pages 4539-4562, July.
  • Handle: RePEc:spr:waterr:v:39:y:2025:i:9:d:10.1007_s11269-025-04167-w
    DOI: 10.1007/s11269-025-04167-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-025-04167-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-025-04167-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Yihong Guan & Mou Lv & Shen Dong, 2023. "Pressure-driven Background Leakage Models and their Application for Leak Localization Using a Multi-population Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 359-373, January.
    2. Bruno Ferreira & Nelson Carriço & Dídia Covas, 2025. "Near Real-time Leak Location by Inverse Analysis Integrating Measurement Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(1), pages 503-521, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pham Duc Dai, 2023. "A Real Time Optimization Based Sequential Convex Program for Pressure Management in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4751-4768, September.
    2. Chia-Cheng Shiu & Chih-Chung Chung & Tzuping Chiang, 2024. "Enhancing the EPANET Hydraulic Model through Genetic Algorithm Optimization of Pipe Roughness Coefficients," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 323-341, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:39:y:2025:i:9:d:10.1007_s11269-025-04167-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.