Abstract
Detection of underground utilities can be done by application of the ground penetrating radar (GPR) method. Diffraction or reflection phenomena of high-frequency electromagnetic waves provide tools and physics principles for imaging their locations, sizes, and even shapes. In urban zones, GPR machines equipped with shielded antennas are often used in common offset recording settings which provide high quality data after filtering most of artificial noises from the air. Although the data is still contaminated by different noises, the underground works are often recognized through appearances of different hyperbolae. In our paper, we apply different processing techniques for researching underground anomalies to map 3D metal gas pipes in Ba Ria–Vung Tau province, Vietnam. We have collected many 2D GPR profiles in 2019 and conducted a new technique of their 3D representation. In the new 3D representation, different GPR attributes as processed data and its maximum energy difference attribute are applied for defining the two metal gas pipes and revealing their other nearby anomalies as optical fiber cables.
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References
Liner, C.L., Liner, J.L.: Application of GPR to a site investigation involving shallow faults. Lead. Edge 16, 1649–1651 (1997)
Nguyen, V.G., Marquis, G., Le, M.: EM and GPR investigations of contaminant spread around the Hoc Mon waste site, Vietnam. Acta Geophys. 58, 1040–1055 (2010)
Nguyen, V.G., Ziętek, J., Nguyen, B.D., Karczewski, J., Gołębiowski, T.: Study of geological sedimentary structures of Mekong river banks by ground penetrating radar: forecasting avulsion-prone zones. Acta Geophysica Polonica 53, 167–181 (2005)
Nguyen, T.V., Le, C.V.A., Nguyen, V.T., Dang, T.H., Vo, T.M., Vo, L.N.L.: Energy analysis in semiautomatic and automatic velocity estimation for ground penetrating radar data in urban areas: case study in Ho Chi Minh City, Vietnam. In: International Conference on Geo-Spatial Technologies and Earth resources. Springer, Ha Noi, Vietnam (2017)
Zhao, W., Forte, E., Levi, S.T., Pipan, M., Tian, G.: Improved high-resolution GPR imaging and characterization of prehistoric archaeological features by means of attribute analysis. J. Archaeol. Sci. 54, 77–85 (2015)
Zhao, W., Forte, E., Pipan, M.: Texture attribute analysis of GPR data for archaeological prospection. Pure Appl. Geophys. 173, 2737–2751 (2016)
Ercoli, M., Pauselli, C., Frigeri, A., Forte, E., Federico, C.: 3-D GPR data analysis for high-resolution imaging of shallow subsurface faults: the Mt Vettore case study (Central Apennines, Italy). Geophys. J. Int. 198, 609–621 (2014)
Lai, W.W.-L., Derobert, X., Annan, P.: A review of ground penetrating radar application in civil engineering: a 30-year journey from locating and testing to imaging and diagnosis. NDT E Int. 96, 58–78 (2018)
Rashed, M.A., Al-Garni, M.A.: On the application of GPR for locating underground utilities in urban areas. Arab. J. Geosci. 6, 3505–3511 (2013)
Le, C.V.A., Harris, B.D., Pethick, A.M.: New perspectives on solid earth geology from seismic texture to cooperative inversion. Sci. Rep. 9, 14737 (2019)
Le, C.V.A., Harris, B.D., Pethick, A.M., Takam Takougang, E.M., Howe, B.: Semiautomatic and automatic cooperative inversion of seismic and magnetotelluric data. Surveys Geophys. 37, 845–896 (2016)
Tomecka-Suchoń, S., Marcak, H.: Interpretation of ground penetrating radar attributes in identifying the risk of mining subsidence. Arch. Min. Sci. 60, 645–656 (2015)
Le, C.V.A., Nguyen, T.V.: Ground penetrating radar attributes analysis for detecting underground artificial structures in urban areas, Vietnam. Lowland Technology International 22, 249–257 (2020)
Le, C.V.A., Nguyen, T.V.: Detection of underground anomalies using analysis of ground penetrating radar attribute. Inżynieria Mineralna J. Polish Mineral Eng. Soc. 1, 23–34 (2020)
Prego, F.J., Solla, M., Puente, I., Arias, P.: Efficient GPR data acquisition to detect underground pipes. NDT E Int. 91, 22–31 (2017)
Huck, H.: The road to open source: sharing a ten years’ experience in building OpendTect, the open source seismic interpretation software. In: 74th EAGE Conference and Exhibition, Copenhagen, Denmark (2012)
dGB Earth Sciences: OpendTect dGB Plugins User Documentation version 4.6 (2015)
Warren, C., Giannopoulos, A., Giannakis, I.: gprMax: open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar. Comput. Phys. Commun. 209, 163–170 (2016)
Park, B., Kim, J., Lee, J., Kang, M.-S., An, Y.-K.: Underground object classification for urban roads using instantaneous phase analysis of ground-penetrating radar (GPR) data. Remote Sens. 10, 1417 (2018)
Acknowledgements
This research is funded by Vietnam National University Ho Chi Minh City (VNU-HCM) under grant number C2022-18-06. We would like to thank Mr. Doan Manh Cuong for his help.
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The authors declare no conflict of interest.
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Dang, D.H., Van Anh Le, C., Van Nguyen, T. (2023). Detection of Underground Anomalies by Evaluation of Ground Penetrating Radar Attribute Combination. In: Nguyen, L.Q., Bui, L.K., Bui, XN., Tran, H.T. (eds) Advances in Geospatial Technology in Mining and Earth Sciences. GTER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-20463-0_31
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DOI: https://doi.org/10.1007/978-3-031-20463-0_31
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