Skip to main content

2023 | OriginalPaper | Buchkapitel

Detection of Underground Anomalies by Evaluation of Ground Penetrating Radar Attribute Combination

verfasst von : Duy Hoang Dang, Cuong Van Anh Le, Thuan Van Nguyen

Erschienen in: Advances in Geospatial Technology in Mining and Earth Sciences

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Liner, C.L., Liner, J.L.: Application of GPR to a site investigation involving shallow faults. Lead. Edge 16, 1649–1651 (1997)CrossRef Liner, C.L., Liner, J.L.: Application of GPR to a site investigation involving shallow faults. Lead. Edge 16, 1649–1651 (1997)CrossRef
2.
Zurück zum Zitat 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)ADSCrossRef 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)ADSCrossRef
3.
Zurück zum Zitat 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, 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)
4.
Zurück zum Zitat 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) 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)
5.
Zurück zum Zitat 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)CrossRef 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)CrossRef
6.
Zurück zum Zitat Zhao, W., Forte, E., Pipan, M.: Texture attribute analysis of GPR data for archaeological prospection. Pure Appl. Geophys. 173, 2737–2751 (2016)ADSCrossRef Zhao, W., Forte, E., Pipan, M.: Texture attribute analysis of GPR data for archaeological prospection. Pure Appl. Geophys. 173, 2737–2751 (2016)ADSCrossRef
7.
Zurück zum Zitat 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)ADSCrossRef 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)ADSCrossRef
8.
Zurück zum Zitat 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)CrossRef 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)CrossRef
9.
Zurück zum Zitat 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)CrossRef 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)CrossRef
10.
11.
Zurück zum Zitat 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) 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)
12.
Zurück zum Zitat 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) 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)
13.
Zurück zum Zitat 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.: Ground penetrating radar attributes analysis for detecting underground artificial structures in urban areas, Vietnam. Lowland Technology International 22, 249–257 (2020)
14.
Zurück zum Zitat 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) 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)
15.
Zurück zum Zitat Prego, F.J., Solla, M., Puente, I., Arias, P.: Efficient GPR data acquisition to detect underground pipes. NDT E Int. 91, 22–31 (2017)CrossRef Prego, F.J., Solla, M., Puente, I., Arias, P.: Efficient GPR data acquisition to detect underground pipes. NDT E Int. 91, 22–31 (2017)CrossRef
16.
Zurück zum Zitat 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) 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)
17.
Zurück zum Zitat dGB Earth Sciences: OpendTect dGB Plugins User Documentation version 4.6 (2015) dGB Earth Sciences: OpendTect dGB Plugins User Documentation version 4.6 (2015)
18.
Zurück zum Zitat 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)ADSCrossRef 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)ADSCrossRef
19.
Zurück zum Zitat 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)ADSCrossRef 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)ADSCrossRef
Metadaten
Titel
Detection of Underground Anomalies by Evaluation of Ground Penetrating Radar Attribute Combination
verfasst von
Duy Hoang Dang
Cuong Van Anh Le
Thuan Van Nguyen
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-20463-0_31