Application of DInSAR and Spatial Statistics Methods in Analysis of Surface Displacements Caused by Induced Tremors
Source abstract
Abstract
Induced seismicity is one of the negative phenomena caused by anthropogenic activities that include mining of minerals. This phenomenon manifests itself as sudden and unpredictable shocks of rock mass, which can cause surface deformation and damage to ground infrastructure. Until the advent of satellite radar interferometry that enables analysis of historical events, the characteristics of these unexpected surface deformations were difficult to assess. The main aim of the research was the spatial analysis of the geometry of surface displacements caused by eight induced tremors in the Rudna copper mine (SW Poland) and the dependence of deformation characteristics (vertical displacements, extent) on the induced shock energy. For this purpose, Sentinel-1 satellite imagery, the differential radar satellite interferometry (DInSAR) method and geographic information systems (GIS) based spatial statistics were used. Vertical displacements were mapped on the basis of 37 calculated interferograms. Spatial statistics on the pixel-to-pixel level were performed in the GIS Map Algebra environment. In the result, descriptive and spatial statistics characterizing deformations caused by individual shocks were calculated. The average values of vertical displacements ranged from −44 to −119 mm. Strong, statistical correlation between the extent, maximum vertical displacement, and energy values was determined. In addition, geometries of the formed deformation areas were analyzed and presented graphically. The results obtained in this research constitute development of a knowledge base on surface displacements caused by induced tremors in underground copper mining.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Synthetic Aperture Radar (SAR) Applications and Techniques · Geophysical Methods and Applications · Rock Mechanics and Modeling
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mining and Geodesy, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
References (72)
Show source-provided references
1. Aktywność sejsmiczna w wybranych polach eksploatacyjnych w KGHM Polska Miedź S.A. O/ZG Rudna
2. Rockburst induced ground motion—A comparative study10.1016/j.soildyn.2003.10.001 ↗
3. Zastosowanie normy sejsmicznej “Eurokod 8” w projektowaniu budowli narażonych na działanie wstrząsów górniczych
4. Platforma IS-EPOS jako nowoczesne narzędzie w badaniach sejsmiczności antropogenicznej
5. Bazanowski, M., Szostak-Chrzanowski, A., and Chrzanowski, A. (2019). Determination of GPS session duration in ground deformation surveys in mining areas. Sustainability, 11.10.3390/su11216127 ↗
6. Geodetic monitoring of the surface within the trial operation of the room and pillar mining method in the Ostrava-Karvina coal district10.4236/ijcce.2016.52004 ↗
7. Multitemporal monitoring of Karvina subsidence troughs using Sentinel-1 and Terrasar-X interferometry
8. Monitoring of coal mining subsidence in peri-urban area of Zonguldak city (NW Turkey) with persistent scatterer interferometry using ALOS-PALSAR10.1007/s12665-013-2793-1 ↗
9. Liu, J.G., and Mason, P.J. (2016). Introduction to interferometric synthetic aperture radar technique. Image Processing and GIS for Remote Sensing: Techniques and Applications, John Wiley & Sons, Ltd.
10. Zheng, L., Zhu, L., Wang, W., Guo, L., and Chen, B. (2020). Land subsidence related to coal mining in China revealed by L-Band InSAR analysis. Int. J. Environ. Res. Public Health, 17.10.3390/ijerph17041170 ↗
11. Deformation mapping in three dimensions for underground mining using InSAR—Southern highland coalfield in New South Wales, Australia10.1080/01431161.2010.519741 ↗
12. Falorni, G., Del Conte, S., Bellotti, F., and Colombo, D. (2018, January 15–17). InSAR monitoring of subsidence induced by underground mining operations. Proceedings of the Fourth International Symposium on Block and Sublevel Caving, Vancouver, BC, Canada.10.36487/ACG_rep/1815_54_Falorni ↗
13. Retrieving three-dimensional displacement fields of mining areas from a single InSAR pair10.1007/s00190-014-0757-1 ↗
14. An improved method of three-dimensional displacement field generation in mining areas with a single InSAR pair10.1080/22797254.2019.1654927 ↗
15. Assessment of mining-induced damage to structures using InSAR time series analysis: A case study of Jiulong Mine, China10.1007/s12665-018-7353-2 ↗
16. Injection-induced surface deformation and seismicity at the Hellisheidi geothermal field, Iceland10.1016/j.jvolgeores.2018.03.019 ↗
17. Production-induced subsidence at the Los Humeros geothermal field inferred from PS-InSAR
18. Rapid ground deformation corresponding to a mining-induced seismic event followed by a massive collapse10.1007/s11069-018-3552-0 ↗
19. Milczarek, W. (2019). Application of a small baseline subset time series method with atmospheric correction in monitoring results of mining activity on ground surface and in detecting induced seismic events. Remote Sens., 11.10.3390/rs11091008 ↗
20. Hejmanowski, R., Malinowska, A.A., Witkowski, W.T., and Guzy, A. (2019). An analysis applying InSAR of subsidence caused by nearby mining-induced earthquakes. Geosciences, 9.10.3390/geosciences9120490 ↗
21. Mapping ground movements caused by mining-induced earthquakes applying satellite radar interferometry10.1016/j.enggeo.2018.10.013 ↗
22. An evaluation of processing InSAR Sentinel-1A/B data for correlation of mining subsidence with mining induced tremors in the Upper Silesian Coal Basin (Poland)10.1051/e3sconf/20182600003 ↗
23. Loesch, E., and Sagan, V. (2018). SBAS Analysis of induced ground surface deformation from wastewater injection in east central Oklahoma, USA. Remote Sens., 10.10.3390/rs10020283 ↗
24. Induced earthquake and liquefaction hazards in Oklahoma, USA: Constraints from InSAR10.1016/j.rse.2018.09.005 ↗
25. Kubanek, J., Liu, Y., Harrington, R.M., and Samsonov, S. (2018, January 4–7). Observation of surface deformation associated with hydraulic fracturing in western Canada using InSAR. Proceedings of the EUSAR 2018, 12th European Conference on Synthetic Aperture Radar, Aachen, Germany.
26. Albano, M., Polcari, M., Bignami, C., Moro, M., Saroli, M., and Stramondo, S. (2017). Did anthropogenic activities trigger the 3 April 2017 Mw 6.5 Botswana Earthquake?. Remote Sens., 9.10.3390/rs9101028 ↗
27. Thorpe, S. (2017). Time Series Analysis of Surface Deformation Associated with Fluid Injection and Induced Seismicity in Timpson, Texas Using DInSAR Methods. [Master Thesis, The University of Western Ontario].
28. Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: Case study of the Walbrzych coal mine (SW Poland)10.1007/s11069-016-2470-2 ↗
29. Some specific procedures in solving the deformation vector for mining undermined areas
30. Classification and regression tree theory application for assessment of building damage caused by surface deformation10.1007/s11069-014-1070-2 ↗
31. Ensemble of ground subsidence hazard maps using fuzzy logic
32. Blachowski, J., Chrzanowski, A., and Szostak-Chrzanowski, A. (2013, January 16–20). GIS-based methodology for assessing effects of mining on the surface infrastructure. Proceedings of the ResearchGate XV International Mine Surveying Congress, Aachen, Germany.
33. Vulnerability to ground deformation phenomena in the city of Tuzla (BiH): A GIS and multicriteria approach10.1007/s11069-012-0225-2 ↗
34. Assessment of ground subsidence using GIS and the weights-of-evidence model10.1016/j.enggeo.2010.06.015 ↗
35. Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea10.1007/s12665-009-0093-6 ↗
36. A GIS-based prediction method to evaluate subsidence-induced damage from coal mining beneath a reservoir, Kyushu, Japan10.1144/1470-9236/07-217 ↗
37. A GIS-based Weights-of-Evidence model for mapping cliff instabilities associated with mine subsidence10.1007/s00254-006-0333-y ↗
38. JRC PECOMINES project sustainable mineral resources management: From regional mineral resources exploration to spatial contamination risk assessment of mining10.1007/s00254-008-1502-y ↗
39. A new model of geo-environmental impact assessment of mining: A multiple-criteria assessment method integrating Fuzzy-AHP with fuzzy synthetic ranking10.1007/s12665-011-1237-z ↗
40. The concept of multi-criteria mineral resources protection10.1007/s00254-006-0467-y ↗
41. Evaluation of the cost approach’s usefulness for a mineral assets’ valuation
42. Dąbski, J., Dunaj, A., Markiewicz, M., Mikoda, A., Paździor, J., Rydzewski, A., and Siewierski, S. (2007). Historia rozwoju KGHM Polska Miedź S.A.. Monografia KGHM Polska Miedź S.A., KGHM CUPRUM Sp. z o.o. CBR.
43. (2020, August 20). KGHM Strona Korporacyjna. Available online: https://kghm.com/pl.
44. Using the leveling measurement in modeling of mining and geological parameters on LGOM area
45. Koncepcja eksploatacji złoża rud miedzi w węźle uskoków Rudna Główna i Biedrzychowa O/ZG Rudna KGHM Polska Miedź S.A.
46. (2020, August 20). Earthquakes—Earthquake Today—Latest Earthquakes in the World—EMSC. Available online: https://www.emsc-csem.org/#2.
47. (2020, August 20). ASF Data Search. Available online: https://search.asf.alaska.edu/#/.
48. Mapping small elevation changes over large areas: Differential radar interferometry10.1029/JB094iB07p09183 ↗
49. Thiel, K.-H., and Hartl, P. (1993, January 10–13). Fields of experiments in ERS-1 SAR interferometry in Bonn and Naples. Proceedings of the International Symposium—From Optics to Radar, SPOT and ERS-1 Applications, Paris, France.
50. Zebker, H.A., and Rosen, P. (1994, January 8–12). On the derivation of coseismic displacement fields using differential radar interferometry: The Landers earthquake. Proceedings of the IGARSS ‘94—1994 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA.
51. Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (central Spanish Pyrenees)10.1016/j.rse.2012.09.020 ↗
52. DInSAR technique for slow-moving landslide monitoring based on slope units10.1080/00396265.2017.1380947 ↗
53. Lanari, R., Berardino, P., Bonano, M., Casu, F., Manconi, A., Manunta, M., Manzo, M., Pepe, A., Pepe, S., and Sansosti, E. (2010). Surface displacements associated with the L’Aquila 2009 Mw 6.3 earthquake (central Italy): New evidence from SBAS-DInSAR time series analysis. Geophys. Res. Lett., 37.10.1029/2010GL044780 ↗
54. InSAR based deformation mapping of earthquake using Sentinel 1A imagery10.1080/10106049.2018.1544289 ↗
55. Govorčin, M., Herak, M., Matoš, B., Pribičević, B., and Vlahović, I. (2020). Constraints on complex faulting during the 1996 Ston–Slano (Croatia) earthquake inferred from the DInSAR, seismological, and geological observations. Remote Sens., 12.10.3390/rs12071157 ↗
56. Parwata, I.N.S., Shimizu, N., Zeka, S., Gruji, B., and Vrkljan, I. (November, January 29). Application of DInSAR for monitoring the subsidence induced by salt mining in Tuzla, Bosnia and Herzegovina. Proceedings of the International Society for Rock Mechanics and Rock Engineering, 10th Asian Rock Mechanics Symposium, Singapore.
57. Detection of surface subsidence using SAR SENTINEL 1A imagery and the DInSAR method—A case study of the Belchatow open pit mine, Central Poland10.1051/e3sconf/20185500004 ↗
58. Source modelling of the 2015 Wolf volcano (Galápagos) eruption inferred from Sentinel 1-A DInSAR deformation maps and pre-eruptive ENVISAT time series10.1016/j.jvolgeores.2017.05.013 ↗
59. DInSAR Analysis and analytical modeling of Mount Etna displacements: The December 2018 volcano-tectonic crisis10.1029/2019GL082467 ↗
60. Sánchez-Gámez, P., and Navarro, F.J. (2017). Glacier surface velocity retrieval using D-InSAR and offset tracking techniques applied to ascending and descending passes of Sentinel-1 data for southern Ellesmere ice caps, Canadian Arctic. Remote Sens., 9.10.3390/rs9050442 ↗
61. Nela, B.R., Bandyopadhyay, D., Singh, G., Glazovsky, A.F., Lavrentiev, I.I., Kromova, T.E., and Arigony-Neto, J. (2019). Glacier flow dynamics of the Severnaya Zemlya archipelago in Russian high arctic using the differential SAR interferometry (DInSAR) technique. Water, 11.10.3390/w11122466 ↗
62. Pepe, A., and Calò, F. (2017). A review of interferometric synthetic aperture RADAR (InSAR) multi-track approaches for the retrieval of Earth’s surface displacements. Appl. Sci., 7.10.3390/app7121264 ↗
63. Open radar interferometry software for mapping surface deformation10.1029/2011EO280002 ↗
64. Network approaches to two-dimensional phase unwrapping: Intractability and two new algorithms10.1364/JOSAA.17.000401 ↗
65. (2020, August 20). GMTSAR—GMT—The Generic Mapping Tools. Available online: http://gmt.soest.hawaii.edu/projects/gmt5sar/boards/6.
66. Measuring ground deformation of the tropical volcano, Ibu, using ALOS-PALSAR data10.1080/01431160903246717 ↗
67. Mapping two-dimensional deformation field time-series of large slope by coupling DInSAR-SBAS with MAI-SBAS10.3390/rs70912440 ↗
68. Study of dynamic displacement phenomena with the use of imaging radars from the Sentinel mission
69. Investigation of post inducted seismic deformation of the 2016 MW 4.2 Tarnowek Poland mining tremor based on DinSAR and SBAS method
70. Milczarek, W., Kopeć, A., and Głąbicki, D. (2019). Estimation of tropospheric and ionospheric delay in DInSAR calculations: Case study of areas showing (natural and induced) seismic activity. Remote Sens., 11.10.3390/rs11060621 ↗
71. Owczarz, K., and Blachowski, J. (September, January 31). Analysis of the geometry of surface deformations caused by induced tremors in the area of underground copper mining. Proceedings of the ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXIV ISPRS Congress, Nice, France.
72. Analysis of surface displacements caused by induced shocks with various radar data processing software10.1063/5.0000430 ↗