Technical Papers
Apr 27, 2023

Identifying Pipeline Leak Positions Potentially Connected to Soil Deformations through SAR Data Analysis

Publication: Journal of Infrastructure Systems
Volume 29, Issue 3

Abstract

Transmission mains (TMs) and water distribution systems (WDS) are, among the others, fundamental networks on which society relies on. Age, pipeline materials, and internal and external stresses are just few of the numerous factors that undermine the efficiency of these infrastructures and potentially reduce performance and functionality, leading to leakages or causing dangerous conditions in the surrounding environment, such as flooding or disruption. Accurate condition assessment, with suitable monitoring techniques, allows for proper management and maintenance throughout the infrastructures’ lifetime. Starting from the hypothesis that leakages could be related to soil deformation, this study evaluated the opportunities offered by the differential interferometric synthetic aperture radar (DInSAR) method in identifying soil deformations in nonurban areas potentially related to leak positions along TMs. Satellite images were analyzed to derive millimetric evolution of slow deformation processes over large surfaces and a long time frame. To test the capability of the proposed method and its operability as a monitoring tool, data acquired between 2014 and 2019 by Sentinel-1 satellites, were processed to investigate two transmission pipelines located in two areas of Italy (Veneto and Toscana regions). An analysis of historical damages in the hydraulic network and soil deformations obtained by synthetic aperture radar (SAR) data examination along the pipeline path suggests how and in which conditions potential relationships between leakages along pipeline and deformations of the ground surface can be defined.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

All data used and information reported in this study were provided by a third party (information and images about infrastructure of AdF and ATS). Their use is limited to the scientific support of the present manuscript and cannot be reproduced without the formal approval of the water company managers. Direct request for these materials may be made to the provider as indicated in the Acknowledgments.

Acknowledgments

The authors thank Acquedotto del Fiora water company for providing the necessary information regarding the water transmission network and historical leakages.

References

Adegboye, M. A., W. K. Fung, and A. Karnik. 2019. “Recent advances in pipeline monitoring and oil leakage detection technologies: Principles and approaches.” Sensors 19 (11): 2548. https://doi.org/10.3390/s19112548.
Agapiou, A., D. D. Alexakis, K. Themistocleous, and D. G. Hadjimitsis. 2016. “Water leakage detection using remote sensing, field spectroscopy and GIS in semiarid areas of Cyprus.” Urban Water J. 13 (3): 221–231. https://doi.org/10.1080/1573062X.2014.975726.
Ali, H., and J. H. Choi. 2019. “A review of underground pipeline leakage and sinkhole monitoring methods based on wireless sensor networking.” Sustainability 11 (15): 4007. https://doi.org/10.3390/su11154007.
Bayramov, E., M. Buchroithner, and M. Kada. 2020. “Radar remote sensing to supplement pipeline surveillance programs through measurements of surface deformations and identification of geohazard risks.” Remote Sens. 12 (23): 3934. https://doi.org/10.3390/rs12233934.
Berardino, P., G. Fornaro, R. Lanari, and E. Sansosti. 2002. “A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms.” IEEE Trans. Geosci. Remote Sens. 40 (11): 2375–2383. https://doi.org/10.1109/TGRS.2002.803792.
Bonano, M., M. Manunta, A. Pepe, L. Paglia, and R. Lanari. 2013. “From previous C-band to new X-band SAR systems: Assessment of the DInSAR mapping improvement for deformation time-series retrieval in urban areas.” IEEE Trans. Geosci. Remote Sens. 51 (4): 1973–1984. https://doi.org/10.1109/TGRS.2012.2232933.
Bouali, E. H., T. Oommen, and R. Escobar-Wolf. 2016. “Interferometric stacking toward geohazard identification and geotechnical asset monitoring.” J. Infrastruct. Syst. 22 (2): 05016001. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000281.
Buldyrev, S. V., R. Parshani, G. Paul, H. E. Stanley, and S. Havlin. 2010. “Catastrophic cascade of failures in interdependent networks.” Nature 464 (7291): 1025–1028. https://doi.org/10.1038/nature08932.
Bürgmann, R., P. A. Rosen, and E. J. Fielding. 2000. “Synthetic aperture radar interferometry to measure earth’s surface topography and its deformation.” Annu. Rev. Earth Planet. Sci. 28 (1): 169–209. https://doi.org/10.1146/annurev.earth.28.1.169.
Casu, F., M. Manzo, and R. Lanari. 2006. “A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data.” Remote Sens. Environ. 102 (3–4): 195–210. https://doi.org/10.1016/j.rse.2006.01.023.
Chatelard, C., et al. 2018. “Multispectral approach assessment for detection of losses in water transmission systems by airborne remote sensing.” In Vol. 3 of Proc., HIC 2018.13th Int. Conf. on Hydroinformatics, edited by Goffredo La Loggia, Gabriele Freni, Valeria Puleo, and Mauro De Marchis, 408–418. London: International Water Association. https://doi.org/10.29007/4xs9.
Colombo, A. F., and B. W. Karney. 2002. “Energy and costs of leaky pipes: Toward comprehensive picture.” J. Water Resour. Plann. Manage. 128 (6): 441–450. https://doi.org/10.1061/(ASCE)0733-9496(2002)128:6(441).
Confuorto, P., D. Di Martire, G. Centolanza, R. Iglesias, J. J. Mallorqui, A. Novellino, S. Plank, M. Ramondini, K. Thuro, and D. Calcaterra. 2017. “Post-failure evolution analysis of a rainfall-triggered landslide by multi-temporal interferometry SAR approaches integrated with geotechnical analysis.” Remote Sens. Environ. 188 (Jan): 51–72. https://doi.org/10.1016/j.rse.2016.11.002.
Darvini, G., V. Ruzza, and P. Salandin. 2020. “Performance assessment of water distribution systems subject to leakage and temporal variability of water demand.” J. Water Resour. Plann. Manage. 146 (1): 04019069. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001143.
De Zan, F., and A. Monti Guarnieri. 2006. “TOPSAR: Terrain observation by progressive scans.” IEEE Trans. Geosci. Remote Sens. 44 (9): 2352–2360. https://doi.org/10.1109/TGRS.2006.873853.
EPA. 2002. Deteriorating buried infrastructure management challenges and strategies, 1–33. Washington, DC: EPA.
ESA (European Space Agency). 2014. “Copernicus open access hub.” Accessed June 3, 2019. https://scihub.copernicus.eu/.
Ferrante, M., and B. Brunone. 2003. “Pipe system diagnosis and leak detection by unsteady-state tests. 1. Harmonic analysis.” Adv. Water Resour. 26 (1): 95–105. https://doi.org/10.1016/S0309-1708(02)00101-X.
Ferretti, A., A. Monti-Guarnieri, C. Prati, F. Rocca, and D. Mannonnet. 2007. InSAR principles: Guidelines for SAR interferometry processing and interpretation (TM-19).
Ferretti, A., F. Novali, E. Passera, C. Prati, and F. Rocca. 2005. “Statistical analysis of atmospherical components in ERS SAR data.” In Proc. Fringe 2005 Workshop, edited by ESA (European Space Agency), 1–27. Noordwijk, Netherlands: ESA Communications.
Fialko, Y., M. Simons, and D. Agnew. 2001. “The complete (3-D) surface displacement field in the 1999MW7.1 Hector Mine Earthquake, California, from space geodetic observations.” Geophys. Res. Lett. 28 (16): 3063–3066. https://doi.org/10.1029/2001GL013174.
Franceschetti, G., and R. Lanari. 1999. “Synthetic aperture radar processing.” In Synthetic aperture radar processing. London: CRC Press.
Gabriel, A. K., R. M. Goldstein, and H. A. Zebker. 1989. “Mapping small elevation changes over large areas: Differential radar interferometry.” J. Geophys. Res. 94 (7): 9183–9191. https://doi.org/10.1029/JB094iB07p09183.
Goldstein, R. 1995. “Atmospheric limitations to repeat-track radar interferometry.” Geophys. Res. Lett. 22 (18): 2517–2520. https://doi.org/10.1029/95GL02475.
Goldstein, R. M., H. A. Zebker, and C. L. Werner. 1988. “Satellite radar interferometry: Two-dimensional phase unwrapping.” Radio Sci. 23 (4): 713–720. https://doi.org/10.1029/RS023i004p00713.
Goodman, J. W. 1976. “Some fundamental properties of speckle.” J. Opt. Soc. Am. 66 (11): 1145–1150. https://doi.org/10.1364/JOSA.66.001145.
Goulter, I., J. Davidson, and P. Jacobs. 1993. “Predicting water-main breakage rates.” J. Water Resour. Plann. Manage. 119 (4): 419–436. https://doi.org/10.1061/(ASCE)0733-9496(1993)119:4(419).
Grigg, N. S. 2006. “Condition assessment of water distribution pipes.” J. Infrastruct. Syst. 12 (3): 147–153. https://doi.org/10.1061/(ASCE)1076-0342(2006)12:3(147).
Grigg, N. S. 2013. “Water main breaks: Risk assessment and investment strategies.” J. Pipeline Syst. Eng. Pract. 4 (4): 04013001. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000142.
Hanssen, R. F. 2006. “Radar interferometry: Data interpretation and error analysis.” In Remote sensing and digital image processing. Berlin: Springer.
Hernandez-Fajardo, I., and L. Dueñas-Osorio. 2013. “Probabilistic study of cascading failures in complex interdependent lifeline systems.” Reliabi. Eng. Syst. Saf. 111 (Apr): 260–272. https://doi.org/10.1016/j.ress.2012.10.012.
Il Tirreno. 2015. “Frana a Baccinello, l’acquedotto si rompe.” Accessed September 15, 2015. https://iltirreno.gelocal.it/grosseto/cronaca/2015/09/15/news/frana-a-baccinello-l-acquedotto-si-rompe-1.12097356.
Kerwin, S., and B. T. Adey. 2020. “Optimal intervention planning: A bottom-up approach to renewing aging water infrastructure.” J. Water Resour. Plann. Manage. 146 (7): 04020044. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001217.
Kerwin, S., and B. T. Adey. 2021. “Integrated planning of operational maintenance programs for water and gas distribution networks.” J. Infrastruct. Syst. 27 (4): 04021039. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000646.
Kleiner, Y., and B. Rajani. 2001. “Comprehensive review of structural deterioration of water mains: Statistical models.” Urban Water 3 (3): 131–150. https://doi.org/10.1016/S1462-0758(01)00033-4.
Lanari, R., F. Casu, M. Manzo, G. Zeni, P. Berardino, M. Manunta, and A. Pepe. 2007. “An overview of the Small BAseline Subset algorithm: A DInSAR technique for surface deformation analysis.” Pure Appl. Geophys. 164 (4): 637–661. https://doi.org/10.1007/s00024-007-0192-9.
Li, J., C. Wang, Q. Zheng, and Z. Qian. 2019. “Leakage localization for long distance pipeline based on compressive sensing.” IEEE Sensors J. 19 (16): 6795–6801. https://doi.org/10.1109/JSEN.2019.2912157.
Li, R., H. Huang, K. Xin, and T. Tao. 2014. “A review of methods for burst/leakage detection and location in water distribution systems.” Water Supply 15 (3): 429–441. https://doi.org/10.2166/ws.2014.131.
Liu, Z., and Y. Kleiner. 2012. “State-of-the-art review of technologies for pipe structural health monitoring.” IEEE Sensors J. 12 (6): 1987–1992. https://doi.org/10.1109/JSEN.2011.2181161.
Liu, Z., and Y. Kleiner. 2013. “State of the art review of inspection technologies for condition assessment of water pipes.” Meas.: J. Int. Meas. Confederation 46 (1): 1–15. https://doi.org/10.1016/j.measurement.2012.05.032.
Liu, Z., Y. Kleiner, and B. Rajani. 2012. Condition assessment technologies for water transmission and distribution systems. Washington, DC: Environmental Protection Agency.
Lombardi, L., et al. 2017. “The Calatabiano landslide (southern Italy): Preliminary GB-InSAR monitoring data and remote 3D mapping.” Landslides 14 (2): 685–696. https://doi.org/10.1007/s10346-016-0767-6.
Mazumder, R. K., A. M. Salman, Y. Li, and X. Yu. 2018. “Performance evaluation of water distribution systems and asset management.” J. Infrastruct. Syst. 24 (3): 03118001. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000426.
Meniconi, S., B. Brunone, M. Ferrante, C. Capponi, C. A. Carrettini, C. Chiesa, D. Segalini, and E. A. Lanfranchi. 2015. “Anomaly pre-localization in distribution–transmission mains by pump trip: Preliminary field tests in the Milan pipe system.” J. Hydroinf. 17 (3): 377–389. https://doi.org/10.2166/hydro.2014.038.
Meniconi, S., C. Capponi, M. Frisinghelli, and B. Brunone. 2021. “Leak detection in a real transmission main through transient tests: Deeds and misdeeds.” Water Resour. Res. 57 (3): 1–15. https://doi.org/10.1029/2020WR027838.
Mutikanga, H. E., S. K. Sharma, and K. Vairavamoorthy. 2013. “Methods and tools for managing losses in water distribution systems.” J. Water Resour. Plann. Manage. 139 (2): 166–174. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000245.
National Transportation Safety Board. 2010. Pacific gas and electric company natural gas transmission pipeline rupture and fire San Bruno, California September 9, 2010. Pipeline Accident Rep. No. NTSB/PAR-11/01. Washington, DC: National Transportation Safety Board.
Pelletier, G., A. Mailhot, and J.-P. Villeneuve. 2003. “Modeling water pipe breaks—Three case studies.” J. Water Resour. Plann. Manage. 129 (2): 115–123. https://doi.org/10.1061/(ASCE)0733-9496(2003)129:2(115).
Piratla, K. R., S. R. Yerri, S. Yazdekhasti, J. Cho, D. Koo, and J. C. Matthews. 2015. “Empirical analysis of water-main failure consequences.” Procedia Eng. 118 (Jul): 727–734. https://doi.org/10.1016/j.proeng.2015.08.507.
Puust, R., Z. Kapelan, D. A. Savic, and T. Koppel. 2010. “A review of methods for leakage management in pipe networks.” Urban Water J. 7 (1): 25–45. https://doi.org/10.1080/15730621003610878.
Rajani, B., and Y. Kleiner. 2001. “Comprehensive review of structural deterioration of water mains: Physically based models.” Urban Water 3 (3): 151–164. https://doi.org/10.1016/S1462-0758(01)00032-2.
Regione del Veneto. 2020. “IDT-RV 2.0—Infrastruttura dati territoriali della regione del Veneto.” Accessed July 24, 2019. https://idt2.regione.veneto.it/.
Rosi, A., V. Tofani, L. Tanteri, C. Tacconi Stefanelli, A. Agostini, F. Catani, and N. Casagli. 2018. “The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: Geomorphological features and landslide distribution.” Landslides 15 (1): 5–19. https://doi.org/10.1007/s10346-017-0861-4.
sarmap. 2009. Synthetic aperture radar and SARscape. Caslano, Switzerland: sarmap.
Smith, A. 2003. “Gas pipeline monitoring in Europe by satellite SAR.” Remote Sens. Environ. Monit. 4886 (1): 257. https://doi.org/10.1117/12.462349.
Tessari, G., M. Floris, and P. Pasquali. 2017. “Phase and amplitude analyses of SAR data for landslide detection and monitoring in non-urban areas located in the North-Eastern Italian pre-Alps.” Environ. Earth Sci. 76 (2): 1–11. https://doi.org/10.1007/s12665-017-6403-5.
Theron, A., and J. Engelbrecht. 2018. “The role of earth observation, with a focus on SAR interferometry, for sinkhole hazard assessment.” Remote Sens. 10 (10): 1506. https://doi.org/10.3390/rs10101506.
Torres, R., et al. 2012. GMES sentinel-1 mission. Amsterdam, Netherlands: Elsevier.
Ullo, S. L., P. Addabbo, D. Martire, S. Sica, N. Fiscante, L. Cicala, and C. V. Angelino. 2019. “Application of DInSAR technique to high coherence Sentinel-1 images for dam monitoring and result validation through in situ measurements.” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 12 (3): 875–890. https://doi.org/10.1109/JSTARS.2019.2896989.
Wan, J., Y. Yu, Y. Wu, R. Feng, and N. Yu. 2012. “Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks.” Sensors 12 (1): 189–214. https://doi.org/10.3390/s120100189.
Wham, B. P., and T. D. O’Rourke. 2016. “Jointed pipeline response to large ground deformation.” J. Pipeline Syst. Eng. Pract. 7 (1): 04015009. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000207.
Wilson, D., Y. Filion, and I. Moore. 2017. “State-of-the-art review of water pipe failure prediction models and applicability to large-diameter mains.” Urban Water J. 14 (2): 173–184. https://doi.org/10.1080/1573062X.2015.1080848.
Wright, T. J., B. E. Parsons, and Z. Lu. 2004. “Toward mapping surface deformation in three dimensions using InSAR.” Geophys. Res. Lett 31 (Apr): 1–5. https://doi.org/10.1029/2003GL018827.
Zebker, A., P. A. Rosen, and S. Hensley. 1997. “Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps.” J. Geophys. Res. 102 (Jul): 7547–7563. https://doi.org/10.1029/96JB03804.
Zebker, H., and J. Villasenor. 1992. “Decorrelation in interferometric radar echoes.” IEEE Trans. Geosci. Remote Sens. 30 (5): 950–959. https://doi.org/10.1109/36.175330.

Information & Authors

Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 29Issue 3September 2023

History

Received: Apr 25, 2022
Accepted: Dec 1, 2022
Published online: Apr 27, 2023
Published in print: Sep 1, 2023
Discussion open until: Sep 27, 2023

Permissions

Request permissions for this article.

Authors

Affiliations

Ph.D. Student, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Padova, Via Francesco Marzolo 9, Padova 35131, Italy (corresponding author). ORCID: https://orcid.org/0000-0002-4527-633X. Email: [email protected]
Giulia Tessari, Ph.D.
Engineer, sarmap SA, Via Stazione 52, Caslano 6987, Switzerland.
Engineer Plant Manager, Alto Trevigiano Servizi S.p.a., Via Ferraris 62, Treviso 31044, Italy. ORCID: https://orcid.org/0000-0002-1205-0406
Full Professor, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Padova, Via Francesco Marzolo 9, Padova 35131, Italy. ORCID: https://orcid.org/0000-0002-4461-7104

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share