GPR inversion and modelling for glacial internal debris estimation and characterization

Abstract

PreviousNext No Access19th International Conference on Ground Penetrating RadarGPR inversion and modelling for glacial internal debris estimation and characterizationAuthors: Ilaria SantinGiacomo RoncoroniEmanuele ForteMichele PipanIlaria SantinUniversity of TriesteSearch for more papers by this author, Giacomo RoncoroniUniversity of TriesteSearch for more papers by this author, Emanuele ForteUniversity of TriesteSearch for more papers by this author, and Michele PipanUniversity of TriesteSearch for more papers by this authorhttps://doi.org/10.1190/gpr2022-064.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InReddit Abstract We performed GPR modelling and inversion in order to estimate the debris content within the ice of mountain glaciers. Having established that the high scattered zone identified within the ice was due to a mix of ice and debris, we focused on the evaluation of the parameters that influence the scattering energy, considering the dimensions and the amount of scatterers such as main variables to perform the 2D simulations. After randomizing the scatterers distribution and validating the stability of the approach with forward modelling, we performed real data inversions with the aim of minimizing the scattered energy difference between real and synthetic data. We found that even a low percentage of debris may be responsible for the high scattered zones imaged in GPR dataset collected on mountain glaciers. Keywords: inversion, modeling, ground-penetrating radar (GPR), interpretation, waveletPermalink: https://doi.org/10.1190/gpr2022-064.1FiguresReferencesRelatedDetails 19th International Conference on Ground Penetrating RadarISSN (online):2159-6832Copyright: 2022 Pages: 166 publication data© 2022 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 13 Oct 2022 CITATION INFORMATION Ilaria Santin, Giacomo Roncoroni, Emanuele Forte, and Michele Pipan, (2022), "GPR inversion and modelling for glacial internal debris estimation and characterization," SEG Global Meeting Abstracts : 39-42. https://doi.org/10.1190/gpr2022-064.1 Plain-Language Summary Keywordsinversionmodelingground-penetrating radar (GPR)interpretationwaveletPDF DownloadLoading ...