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The pattern of surface deformations in the Dąbrowa Basin (Poland) based on PSInSAR analysis

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Slow, long-term ground deformations in the Dąbrowa Basin (southern Poland) were identified based on ERS-1, ERS-2 and ENVISAT Synthetic Aperture Radar (SAR) images that were processed by means of Permanent Scatterer SAR Interferometry (PSInSAR). The Dąbrowa Basin is a region where two major factors can affect surface stability: intensive coal exploitation and neotectonic processes. In this study, in order to clarify the origin of surface deformations, the authors propose applying a newly developed algorithm of spatio-temporal PSInSAR data analysis. This analysis revealed that subsidence is a characteristic feature of the Dąbrowa Basin. A significant correlation exists between slow, long-term ground deformations and the location of the main tectonic structure of this region. The proposed spatiotemporal analysis of the PSInSAR data additionally showed some degree of correlation between mining activity and the studied deformations. This interconnection is a significant achievement of this study since the deformation values determined by means of PSInSAR were identified in earlier works solely on the basis of Dąbrowa Basin neotectonics.
Rocznik
Strony
304--318
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
  • AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Kraków, Poland
  • AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Kraków, Poland
Bibliografia
  • 1. Antonielli, B., Monserrat, O., Bonini, M., Cenni, N., Devanthéry, N., Righini, G., Sani, F., 2016. Persistent Scatterer Interferometry analysis of ground deformation in the Po Plain (Piacenza-Reggio Emilia sector, Northern Italy): seismo-tectonic implications. Geophysical Journal International, 206: 1440-1455.
  • 2. Ciepiela, B., 2003. Najstarsze i ostatnie kopalnie węgla kamiennego w Zagłębiu Dąbrowskim (in Polish). Progres, Sosnowiec.
  • 3. Crosetto, M., Monserrat, O., Cuevas-González, M., Devanthéry, N., Crippa, B., 2016. Persistent Scatterer Interferometry: a review. ISPRS Journal of Photogrammetry and Remote Sensing, 115: 78-89.
  • 4. Declercq, P.Y., Devleeschouwer, X., Pouriel, C., 2005. Subsidence revealed by PSInSAR technique in the Ottignies-Wavre area (Belgium) related to water pumping in urban area. Proceedings of FRINGE 2005 Workshop, Frascati (Italy), 28 November-2 December.
  • 5. DePrekel, K., Bouali, E.H., Oommen, T., 2018. Monitoring the impact of groundwater pumping on infrastructure using Geographic Information System (GIS) and Persistent Scatterer Interferometry (PSI). Infrastructures, 3: 57.
  • 6. Ferretti, A., Prati, C., Rocca, F., 2000. Nonlinear subsidence rate using permanent scatterers in differential SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 38: 2202-2212.
  • 7. Ferretti, A., Prati, C., Rocca, F., 2001. Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39: 8-20.
  • 8. Ferretti, A., Bianchi, M., Novali, F., Tamburini, A., Rucci, A., 2008. Volcanic deformation mapping using PSInSAR TM: Piton de la Fournaise, Stromboli and Vulcano test sites for Globvolcano project. IEEE Xplore.
  • 9. Gehlot, S., Verbree, E., Hanssen, R.F., 2005. Dissemination of PS-InSAR results for improved interpretation and analysis. Proceedings of FRINGE 2005 Workshop, Frascati (Italy), 28 November-2 December.
  • 10. Graniczny, M., Kowalski, Z., Jureczka, J., Czarnogórska, M., Piątkowska, A., 2008. Preliminary interpretation of PSI data of the northeastern part of Upper Silesian Coal Basin (Sosnowiec test site) - TerraFirma project. Polish Geological Institute Special Papers, 24: 29-36.
  • 11. Huang, C., Xia, H., Hu, J., 2019. Surface deformation monitoring in coal mine area based on PSI. IEEE Access, 7: 29672-29678.
  • 12. Ishitsuka, K., Prats-Iraola, P., Nannini, M., 2015. ALOS/PALSAR and TerraSAR-X persistent scatterer interferometry around Tokyo: interferometric phase evaluation and validation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan: 1421-1424.
  • 13. Lagios, E., Papadimitriou, P., Novali, F., Sakkas, V., Fumagalli, A., Vlachou, K., Del Conte, S., 2012. Combined Seismicity Pattern Analysis, DGPS and PSInSAR studies in the broader area of Cephalonia (Greece). Tectonophysics, 524-525: 43-58.
  • 14. Leśniak, A., Porzycka, S., 2009. Impact of tectonics on ground deformations caused by mining activity in the north-eastern part of the Upper Silesian Coal Basin. Mineral Resources Management, 25: 227-238.
  • 15. Massironia, M., M., Zampieria, D., Bianchib, M., Schiavoc, A., Franceschinid, A., 2009. Use of PSInSAR™ data to infer active tectonics: clues on the differential uplift across the Giudicarie belt (Central-Eastern Alps, Italy). Tectonophysics, 476: 297-303.
  • 16. Perski, Z., 1999. Surface subsidence of the Upper Silesian Coal Basin (Southern Poland) due to mining, data detected by satellite radar interferometry (in Polish with English summary). Przegląd Geologiczny, 47: 171-174.
  • 17. Porzycka, S., Leśniak, A., 2010. Temporal analysis of slow ground deformations in the area of Dąbrowa Basin (in Polish with English summary). Przegląd Górniczy, 66: 70-75.
  • 18. Rizzo, M.L., 2007. Statistical Computing with R. Chapman and Hall/CRC. Taylor and Francis Group.
  • 19. Sen, A., Srivastava, M., 1990. Regression Analysis. Theory, Methods, and Applications. Springer, New York.
  • 20. Silverman, B.W., 1986. Density Estimation for Statistics and Data Analysis. Chapman and Hall, London.
  • 21. Trzepierczyński, J. eds., 1985. Tektonika Górnośląskiego Zagłębia Węglowego (in Polish). Wydawnictwo Uniwersytetu Śląskiego, Katowice.
  • 22. Walter, L.A., Gotway, C.A., 2004. Applied Spatial Statistics for Public Health Data. John Wiley and Sons, New Jersey.
  • 23. Weckernagel, H., 1995. Multivariate Geostatistics. Springer, Heidelberg.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6b7800b9-661a-4136-b87e-3a832a6fd9e2
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