نشریه علمی-پژوهشی مکانیک سنگ

نشریه علمی-پژوهشی مکانیک سنگ

بررسی زون‌های ناپایدار معدن سنگ آهن شماره 3 گل‌گهر با استفاده از روش تداخل‌سنجی راداری

نوع مقاله : مقاله پژوهشی

نویسندگان
1 مهندسی معدن، دانشکده فنی و مهندسی، دانشگاه ارومیه، ارومیه، ایران
2 دانشجوی دکتری مهندسی معدن/استخراج مواد معدنی، دانشگاه ارومیه، ایران
3 دانشجوی کارشناسی ارشد، دانشگاه ایمپریال کالج لندن
چکیده
احتمال رخداد زمین‌لغزش در سراسر جهان و احجام مختلف از چند هزار متر مکعب تا چند میلیون متر مکعب توسط عوامل انسانی و طبیعی وجود دارد. وقوع زمین‌لغزش‌ها هر ساله باعث ایجاد خسارات جانی و مالی زیادی می‌گردد. از جمله موارد انسانی که توانایی ایجاد زمین‌لغزش را داراست حفر معادن روباز در زمین است که باعث ایجاد دیواره‌هایی با شیب زیاد می‌شود. بهترین راه برای جلوگیری از ریزش و یا کنترل خسارات آن تجزیه و تحلیل دیواره‌ها از طریق پایش دیواره‌ها و شناسایی زون‌های لغزشی است. در این مطالعه برای پایش و شناسایی زون‌های لغزشی در دیواره معدن سنگ آهن شماره 3 گل‌گهر از روش تداخل سنجی راداری دریچه مصنوعی (InSAR) استفاده شد. برای استفاده از این روش تعداد 12 تصویر در طی 11 ماه از ماهواره Sentinel-1A دریافت و مورد پردازش قرار گرفت. نتایج نشان داد با استفاده از این روش دو زون دارای احتمال لغزش در داخل پیت معدن موجود است و همچنین میزان جابجایی در یکی از این زون‌ها در طی 12 ماه برابر 22 میلی‌متر به دست آمد.
کلیدواژه‌ها
موضوعات

[1]    Woźniak, H., & Nieć, M. (Eds.). (2009). Zasady dokumentowania warunków geologiczno-inżynierskich dla celów likwidacji kopalń. Fall, Fallowie, Grażyna i Jarosław.
[2]    Bazarnik, M. (2018). Slope stability monitoring in open pit mines using 3D terrestrial laser scanning. In E3S Web of Conferences (Vol. 66, p. 01020). EDP Sciences.
[3]    Lang AM, Swindells CF, Higham GJ; (1994); “the realities of survey based open pit wall monitoring”, Aust Mining 86:24–25
[4]    Corominas J, Moya J, Lloret A, Gili JA, Angeli MG, Pasuto A, Silvano S; (2000); “Measurement of landslide displacements using a wire extensometer”, Eng Geol 55:149–166
[5]    Michoud, C., Bazin, S., Blikra, L. H., Derron, M. H., & Jaboyedoff, M. (2013). Experiences from site-specific landslide early warning systems. Natural Hazards and Earth System Sciences, 13(10), 2659-2673.
[6]    Eberhardt, E. (2008). Twenty-ninth Canadian Geotechnical Colloquium: The role of advanced numerical methods and geotechnical field measurements in understanding complex deep-seated rock slope failure mechanisms. Canadian Geotechnical Journal, 45(4), 484-510.
[7]    Zavodni, Z. M., & Broadbent, C. D. (1978, May). Slope failure kinematics. In ARMA US Rock Mechanics/Geomechanics Symposium (pp. ARMA-78). ARMA.
[8]    ntrieri, E., & Gigli, G. (2016). Landslide forecasting and factors influencing predictability. Natural Hazards and Earth System Sciences, 16(12), 2501-2510.
[9]    Federico, A., Popescu, M., Elia, G., Fidelibus, C., Internò, G., & Murianni, A. (2012). Prediction of time to slope failure: a general framework. Environmental Earth Sciences, 66, 245-256.
[10] FUKUZONO, T. (1985). A new method for predicting the failure time of slope. In Proceedings, 4th Int'l. Conference and Field Workshop on Landslides (pp. 145-150).
[11] Petley, D. N., Bulmer, M. H., & Murphy, W. (2002). Patterns of movement in rotational and translational landslides. Geology, 30(8), 719-722.
[12] Petley, D. N., Mantovani, F., Bulmer, M. H., & Zannoni, A. (2005). The use of surface monitoring data for the interpretation of landslide movement patterns. Geomorphology, 66(1-4), 133-147.
[13] Rose, N. D., & Hungr, O. (2007). Forecasting potential rock slope failure in open pit mines using the inverse-velocity method. International Journal of Rock Mechanics and Mining Sciences, 44(2), 308-320.
[14] Carlà, T., Intrieri, E., Di Traglia, F., Nolesini, T., Gigli, G., & Casagli, N. (2017). Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses. Landslides, 14, 517-534.
[15] Fell R, Hunger O, Leroueil S, Reimer W; (2000); “Geotechnical engineering of the stability of natural slopes, and cuts and fills in soil”, In: Proceedings of conference geological engineering, Melbourne, Australia.
[16] Casagli, N., Frodella, W., Morelli, S., Tofani, V., Ciampalini, A., Intrieri, E., ... & Lu, P. (2017). Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning. Geoenvironmental Disasters, 4, 1-23.
[17] Hilley, G. E., Burgmann, R., Ferretti, A., Novali, F., & Rocca, F. (2004). Dynamics of slow-moving landslides from permanent scatterer analysis. Science, 304(5679), 1952-1955.
[18] Berardino, P., Costantini, M., Franceschetti, G., Iodice, A., Pietranera, L., & Rizzo, V. (2003). Use of differential SAR interferometry in monitoring and modelling large slope instability at Maratea (Basilicata, Italy). Engineering geology, 68(1-2), 31-51.
[19] Strozzi, T., Farina, P., Corsini, A., Ambrosi, C., Thüring, M., Zilger, J., ... & Werner, C. (2005). Survey and monitoring of landslide displacements by means of L-band satellite SAR interferometry. Landslides, 2, 193-201.
[20] Tofani, V., Raspini, F., Catani, F., & Casagli, N. (2013). Persistent Scatterer Interferometry (PSI) technique for landslide characterization and monitoring. Remote Sensing, 5(3), 1045-1065.
[21] Crosta, G. B., Hermanns, R. L., Frattini, P., & Valbuzzi, E. (2013). Landslide risk assessment and management: Introduction to the Special Issue. Landslides, 10(3), 333–336.
[22] Wasowski, J., Bovenga, F., & Nitti, D. O. (2014). Satellite interferometry for monitoring unstable slopes and land subsidence in Europe. Environmental Earth Sciences, 73(3), 775–791.
[23] Casagli, N., Frodella, W., Morelli, S., Tofani, V., Ciampalini, A., Intrieri, E., Raspini, F., Rossi, G., & Lu, P. (2017). Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning. Geoenvironmental Disasters, 4(1), 9.
[24] Colesanti, C., & Wasowski, J. (2006). Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry. Engineering geology, 88(3-4), 173-199.
[25] Barra, A., Monserrat, O., Mazzanti, P., Esposito, C., Crosetto, M., & Scarascia Mugnozza, G. (2016). First insights on the potential of Sentinel-1 for landslides detection. Geomatics, Natural Hazards and Risk, 7(6), 1874-1883.
[26] Mora, O., Álvarez, I. & Herrera, E.A. (2013). Slope Stability monitoring in Open Pit and Underground mine by means of Radar Interferometry. Proceeding of Slope Stablity Conference, Brisban, Australia
[27] Zare Rashekouyeh H. Stability analysis and final slope design of the No. 3 Golgohar iron ore mine [Master's thesis]. Shahid Bahonar University of Kerman; 2006. (Persian).
[28] Navalgund, R. R., Jayaraman, V., & Roy, P. S. (2007). Remote sensing applications: An overview. current science, 1747-1766.
[29] Bouali, El Hachemi, Thomas Oommen, and Rüdiger Escobar-Wolf. "Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry." Landslides 15 (2018): 439-452.
[30] Mouat, D. A., Mahin, G. G., & Lancaster, J. (1993). Remote sensing techniques in the analysis of change detection. Geocarto International, 8(2), 39-50.
[31] Mishra, S., Shrivastava, P., & Dhurvey, P. (2017). Change detection techniques in remote sensing: A review. International Journal of Wireless and Mobile communication for Industrial systems, 4(1), 1-8.
[32] Khorram, S., Van der Wiele, C. F., Koch, F. H., Nelson, S. A., & Potts, M. D. (2016). Principles of applied remote sensing (pp. 21-31). New York: Springer.
[33] Chan, Y. K., & Koo, V. (2008). An introduction to synthetic aperture radar (SAR). Progress In Electromagnetics Research B, 2, 27-60.
[34] Ghanadi H, Enayati B, Khesali E. Generation of digital elevation model using Sentinel-1 images and radar interferometry technique. Sepehr: Scientific-Research Quarterly of Geographical Information. 2019;27(108):109–21. (Persian)
[35] Moretto, S., Bozzano, F., & Mazzanti, P. (2021). The role of satellite InSAR for landslide forecasting: Limitations and openings. Remote sensing, 13(18), 3735.
[36] Hanssen, R. F. (2001). *Radar interferometry: Data interpretation and error analysis*. Dordrecht: Springer Science & Business Media.
[37]  Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39(1), 8–20.
doi:10.1109/36.898661
[38] Bamler, R., & Hartl, P. (1998). Synthetic aperture radar interferometry. *Inverse Problems*, 14(4), R1–R54.