بررسی تأثیر زمین‌لرزه بر سازه‌های انسان‌ساز در مجاورت خطوط ساحلی، (مطالعه موردی، زمین‌لرزه 11 تیر 1401، سایه‌خوش)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه علوم غیرزیستی جوی و اقیانوسی، دانشکده علوم و فنون دریایی، دانشگاه هرمزگان، بندرعباس، ایران.

2 گروه شیلات، دانشکده علوم و فنون دریایی، دانشگاه هرمزگان، بندرعباس، ایران.

چکیده

ناحیه ساحلی از حساس‌ترین مناطقی است که به‌دلیل ماهیت پویای آن همواره در حال تغییر است. وقوع هرگونه تغییر در این‌چنین مناطقی می‌تواند تغییرات عمده‌ای در عملکرد مناطق ساحلی ایجاد کند. در 11 تیر 1401 سه زمین‌لرزه شدید و متوالی در منطقه ساحلی سایه‌خوش رخ داد. در اثر این زمین‌لرزه‌ها مرکز پرورش میگوی سایه‌خوش دچار آسیب جدی شد. در این مطالعه با به‌کارگیری تکنیک‌های RS و GIS میزان تأثیرگذاری زمین‌لرزه بر منطقه ساحلی موردنظر بررسی‌شده است. با استفاده از داده‌های ماهواره سنتینل-1 و به‌کارگیری تکنیک DInSAR، نقشه همدوسی، تداخل‌سنجی راداری نقشه تغییرات قائم منطقه تولید شده است که جهت مشخص کردن میزان بالاآمدگی یا فرونشست سطح زمین مورداستفاده قرارگرفته است. با استفاده از داده‌های ماهواره سنتینل-2، لندست-5 و لندست-8 و به‌کارگیری تکنیک نسبت باندی، وضعیت حوضچه‌های مزرعه و خط ساحلی منطقه مشخص شد. سطح منطقه در ناحیه شمال غربی مزرعه به شکل بالاآمدگی (تا 2/0 متر) و در نواحی شرقی مزرعه در امتداد ساحل به شکل فرونشست (تا 1/0- متر) تغییر داشته است. نتایج نسبت باندی نشان می‌دهد پس از پنج روز از وقوع زمین‌لرزه‌ها 189 حوضچه‌ از آب تخلیه‌شده است، و از طرفی میزان انتقال خط ساحلی (قبل و بعد از زمین‌لرزه) در نواحی نزدیک به کانال‌های مزرعه و دهانه‌های ورودی رود‌ها به‌شکل میانگین 30- متر بوده است. نتایج پژوهش حاضر نشان می‌دهد جانمایی اولیه برای طراحی و احداث فعالیت‌های اقتصادی، عمر مفید سازه‌های مورد استفاده را کاهش می‌دهد. بنابراین نوع سیستم سنتی پرورش میگوی احداث شده در منطقه منطقی نبوده و همواره در معرض آسیب‌های شدید است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Investigating the impact of earthquakes on man-made structures in the vicinity of coastlines (Case study, earthquake on 2nd of July 2022, Sayekhosh)

نویسندگان [English]

  • Maryam Rahbani 1
  • Danial Ghaderi 1
  • Rahimeh Shamsaie 1
  • Zarafshan Salari 1
  • Alireza Razi 2
1 Department of Atmospheric and Oceanographic Science, Faculty of Marine Science and Technology, University of Hormozgan, Bandar Abbas, Iran.
2 Department of Fisheries, Faculty of Marine Science and Technology, University of Hormozgan, Bandar Abbas, Iran.
چکیده [English]

Coastal zones are one of the most sensitive areas with the constant changes due to their dynamic nature. They are also precious zones in terms of fisheries, transportation, recreational activities, and other rich resources. Thus, any changes in such areas can influence all such activities. Natural disasters are one of the main concerns in sensitive areas such as coastal zones. Due to its sensitivities, these areas may be affected significantly by such disasters. Coastal zone management (CZM) mechanism is a proper choice, which is applied and implemented with the aim of ensuring the sustainability of resources and these environment. In the operational and research framework of CZM, natural phenomenon and disasters are considered and their affects are surveyed for best managements of the area. Large-scale natural phenomena such as earthquakes or groundwater depletion due to climate change in coastal low-lying areas cause various types of instability. On the 2nd of July 2022, three strong and consecutive earthquakes occurred in the coastal area of Sayekhosh, Located 123 km from Bandar Abbas city and 70 km from Bandar Lengeh city (South of Iran). As a result of these earthquakes, the Sayekhosh Shrimp farm center was seriously damaged. In this study, using RS and GIS techniques, the impact of these earthquakes on the coastal area has been investigated. Using the data of the SAR images from Sentinel-1 satellite and applying the DInSAR technique, a coherence map, differential interferograms and vertical changes map of the region have been produced, which are used to determine the uplift or subsidence of the land's surface. By using the data of Sentinel-2, Landsat-5, and Landsat-8 satellites and using the band ratio technique, the conditions of the farm ponds and the shoreline of the region were determined. Using the Normalized Difference Water Index (NDWI) (with Green and NIR bands) and applying unsupervised K-means classification, two water and land features have been separated. These were done using ENVI, SNAP and ArcMap software. The surface of the area in the northwestern part of the farm has changed in the form of uplift (up to 0.2 m) and in the eastern part of the farm along the coast in the form of subsidence (up to -0.1 m). Band ratio results showed that after five days of the earthquakes, 189 ponds were discharged. Besides; we detected about -30 m shoreline transformation in the areas close to the farm canals and river mouths due to the earthquakes. The results showed that the location and/or the establishment of traditional shrimp farming system should be reconsider, to avoid such damages in upcoming disasters. Since natural disasters strongly affects man-made structures especially in the coastal area, the use of satellite data and RS and GIS techniques can be useful to precisely monitor and manage the changes in the coastal area.

کلیدواژه‌ها [English]

  • Sayekhosh
  • Sentinel-1
  • Sentinel-2
  • Earthquake
  • Shrimp farm
Abdolizadeh, S., Maleki, Z., & Arian, M. (2016). Earthquake Hazard Zonation and Seismotectonics of the Bandar Abbas Area, Zagros, Iran. Open Journal of Geology, 06(03), 210–224. https://doi.org/10.4236/ojg.2016.63019
Amin, G., Shahzad, M. I., Jaweria, S., & Zia, I. (2021). Measuring land deformation in a mega city Karachi-Pakistan with sentinel SAR interferometry. Geocarto International, 1–20. https://doi.org/10.1080/10106049.2021.1903572
Arciniegas, G. A., Bijker, W., Kerle, N., & Tolpekin, V. A. (2007). Coherence- and Amplitude-Based Analysis of Seismogenic Damage in Bam, Iran, Using ENVISAT ASAR Data. IEEE Transactions on Geoscience and Remote Sensing, 45(6), 1571–1581. https://doi.org/10.1109/TGRS.2006.883149
Bally, P. (2012). Satellite Earth Observation for Geohazard Risk Management—The Santorini Conference, Santorini, Greece, European Space Agency: Paris, France,. https://doi.org/http://doi.org/10.5270/esa-geo-hzrd-2012
Barsi, J. A., Alhammoud, B., Czapla-Myers, J., Gascon, F., Haque, M. O., Kaewmanee, M., Leigh, L., & Markham, B. L. (2018). Sentinel-2A MSI and Landsat-8 OLI radiometric cross comparison over desert sites. European Journal of Remote Sensing, 51(1). 822–837, https://doi.org/10.1080/22797254.2018.1507613
Bello, O. M., & Aina, Y. A. (2014). Satellite Remote Sensing as a Tool in Disaster Management and Sustainable Development: Towards a Synergistic Approach. Procedia-Social and Behavioral Sciences, 120, 365–373. https://doi.org/10.1016/j.sbspro.2014.02.114
Boak, E. H., & Turner, I. L. (2005). Shoreline Definition and Detection: A Review. Journal of Coastal Research, 214(4 (214)), 688–703. https://doi.org/10.2112/03-0071.1
C K, C., & Kumar, S. (2020). DInSAR based Analysis of January 2020 Eruption of Fernandina Volcano, Galapagos, 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 250–253. https://doi.org/10.1109/InGARSS48198.2020.9358954
Chang, Y., Chu, K., & Chuang, L. Z.-H. (2018). Sustainable coastal zone planning based on historical coastline changes: A model from case study in Tainan, Taiwan. Landscape and Urban Planning, 174, 24–32. https://doi.org/10.1016/j.landurbplan.2018.02.012
Do, A. T. K., Vries, S. de, & Stive, M. J. F. (2019). The Estimation and Evaluation of Shoreline Locations, Shoreline-Change Rates, and Coastal Volume Changes Derived from Landsat Images. Journal of Coastal Research, 35(1), 56. https://doi.org/10.2112/JCOASTRES-D-18-00021.1
Edalat, A., Khodaparast, M., & Rajabi, A. M. (2020). Detecting Land Subsidence Due to Groundwater Withdrawal in Aliabad Plain, Iran, Using ESA Sentinel-1 Satellite Data. Natural Resources Research, 29(3), 1935–1950. https://doi.org/10.1007/s11053-019-09546-w
ESA. (2020a). Copernicus Open Access Hub of the ESA. https://scihub.copernicus.eu/
ESA. (2020b). SNAP Download | STEP. http://step.esa.int/main/download/snap-download/
Forugooghi-e-Fard, H., Masandani, S., Gharavi, B., Tazikeh, E., Zarshenass, G., & Aghajery, S. (2007). Evaluation of shrimp culturing and hatcheries sites in Hormozgan province. https://aquadocs.org/handle/1834/12920
Ghaderi, D., & Rahbani, M. (2020a). Shoreline change analysis along the coast of Bandar Abbas city, Iran using remote sensing images. International Journal of coastal and offshore engineering, 4(2), 51–64. http://ijcoe.org/article-1-214-en.html
Ghaderi, D., & Rahbani, M. (2020b). Detecting shoreline change employing remote sensing images (Case study: Beris Port-east of Chabahar, Iran. International Journal of coastal and offshore engineering, 3, 1–8. https://doi.org/10.29252/ijcoe.3.4.1
Ghaderi, D., & Rahbani, M. (2022). Mud volcano as a feature of emergence in Caspian Sea, Oceanologia. https://doi.org/10.1016/j.oceano.2022.03.006
Gunalan, B. (2015). Semi-intensive Culture Techniques for Shrimp Farming, In Advances in Marine and Brackishwater Aquaculture (pp. 151–162, Springer India. https://doi.org/10.1007/978-81-322-2271-2_13
Hanssen, R. F. (2001). Radar Interferometry (Vol. 2), Springer Netherlands. https://doi.org/10.1007/0-306-47633-9
Kalbassi, M. R., Abdollahzadeh, E., & Salari-Joo, H. (2013). A review on aquaculture development in Iran, Ecopersia, 1(2), 159–178. http://dorl.net/dor/20.1001.1.23222700.2013.1.2.4.6
Kanwal, S., Ding, X., Wu, S., & Sajjad, M. (2022). Vertical Ground Displacements and Its Impact on Erosion along the Karachi Coastline, Pakistan, Remote Sensing, 14(9), 2054. https://doi.org/10.3390/rs14092054
Khosravi, H., Safari, M., Javan Doloei, G., Afshar, A., & Hessami, Kh. (2022). North-West Bandar Abbas earthquake doublet (Mw 6.1, 6.4) and its source identification. Iranian Journal of Geophysics, 16(3), 89-103, https://doi.org/10.30499/ijg.2022.335246.1414
Li, Y., & Wu, H. (2012). A Clustering Method Based on K-Means Algorithm. In Physics Procedia, 25, 1104–1109, https://doi.org/10.1016/j.phpro.2012.03.206
Massonnet, D., & Feigl, K. L. (1998). Radar interferometry and its application to changes in the Earth’s surface. Reviews of Geophysics, 36(4), 441–500. https://doi.org/10.1029/97RG03139
Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K., & Rabaute, T. (1993). The displacement field of the Landers earthquake mapped by radar interferometry. Nature, 364(6433), 138–142. https://doi.org/10.1038/364138a0
McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International journal of remote sensing, 17(7), 1425–1432. https://doi.org/10.1080/01431169608948714
Mohebbi-Nozar, S. L. (2018). Distribution and ecological risk of DDTs in sediments from Hormozgan Province, south of Iran. Research In Marine Sciences, 3(3), 345–351.
Mosavi, M. R., Kavei, M., Shabani, M., & Hatem Khani, Y. (2016). Interevent times estimation of major and continuous earthquakes in Hormozgan region based on radial basis function neural network. Geodesy and Geodynamics, 7(1), 64–75. https://doi.org/10.1016/j.geog.2016.03.004
Muskananfola, M. R., Supriharyono, & Febrianto, S. (2020). Spatio-temporal analysis of shoreline change along the coast of Sayung Demak, Indonesia using Digital Shoreline Analysis System. Regional Studies in Marine Science, 34, 101060. https://doi.org/10.1016/j.rsma.2020.101060
Nassar, K., Mahmod, W. E., Fath, H., Masria, A., Nadaoka, K., & Negm, A. (2019). Shoreline change detection using DSAS technique: Case of North Sinai coast, Egypt, Marine Georesources & Geotechnology, 37(1), 81–95. https://doi.org/10.1080/1064119X.2018.1448912
Novellino, A., Cigna, F., Brahmi, M., Sowter, A., Bateson, L., & Marsh, S. (2017). Assessing the Feasibility of a National InSAR Ground Deformation Map of Great Britain with Sentinel-1. Geosciences, 7(2), 19. https://doi.org/10.3390/geosciences7020019
Novellino, A., Jordan, C., Ager, G., Bateson, L., Fleming, C., & Confuorto, P. (2019). Remote Sensing for Natural or Man-Made Disasters and Environmental Changes (pp. 23–31), https://doi.org/10.1007/978-981-13-0992-2_3
Oliver, A., Muñoz, X., Batlle, J., Pacheco, L., & Freixenet, J. (2006). Improving clustering algorithms for image segmentation using contour and region information, In 2006 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR (Vol. 2), https://doi.org/10.1109/AQTR.2006.254652
Papadopoulos, G. A., Agalos, A., Karavias, A., Triantafyllou, I., Parcharidis, I., & Lekkas, E. (2021). Seismic and Geodetic Imaging (DInSAR) Investigation of the March 2021 Strong Earthquake Sequence in Thessaly. Central Greece, Geosciences, 11(8), 311. https://doi.org/10.3390/geosciences11080311.
Patel, K., Jain, R., Patel, A. N., & Kalubarme, M. H. (2021). Shoreline change monitoring for coastal zone management using multi-temporal Landsat data in Mahi River estuary, Gujarat State. Applied Geomatics, 13(3), 333–347. https://doi.org/10.1007/s12518-021-00353-8
Pereira-Sandoval, M., Ruescas, A., Urrego, P., Ruiz-Verdú, A., Delegido, J., Tenjo, C., Soria-Perpinyà, X., Vicente, E., Soria, J., & Moreno, J. (2019). Evaluation of Atmospheric Correction Algorithms over Spanish Inland Waters for Sentinel-2 Multi Spectral Imagery Data. Remote Sensing, 11(12), 1469. https://doi.org/10.3390/rs11121469
Stramondo, S., Moro, M., Tolomei, C., Cinti, F. R., & Doumaz, F. (2005). InSAR surface displacement field and fault modelling for the 2003 Bam earthquake (southeastern Iran). Journal of Geodynamics, 40(2–3), 347–353. https://doi.org/10.1016/j.jog.2005.07.013
Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., & Ergul, A. (2009). The Digital Shoreline Analysis System (DSAS) version 4.0-an ArcGIS extension for calculating shoreline change. https://doi.org/https://doi.org/10.3133/ofr20081278
Tompolidi, A.-M., Parcharidis, I., & Sykioti, O. (2021). Investigation of Sentinel-1 capabilities to detect hydrothermal alteration based on multitemporal interferometric coherence: the case of Nisyros volcano (Greece). Procedia Computer Science, 181, 1027–1033. https://doi.org/10.1016/j.procs.2021.01.297
Toure, S., Diop, O., Kpalma, K., & Maiga, A. (2019). Shoreline Detection using Optical Remote Sensing: A Review, ISPRS International Journal of Geo-Information, 8(2), 75. https://doi.org/10.3390/ijgi8020075
United States Geological Survey. (2020). EarthExplorer. https://earthexplorer.usgs.gov/
Williams, J. G., Rosser, N. J., Kincey, M. E., Benjamin, J., Oven, K. J., Densmore, A. L., Milledge, D. G., Robinson, T. R., Jordan, C. A., & Dijkstra, T. A. (2018). Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes. Natural Hazards and Earth System Sciences, 18(1), 185–205. https://doi.org/10.5194/nhess-18-185-2018
Zhao, Q., Pan, J., Devlin, A., Xu, Q., Tang, M., Li, Z., Zamparelli, V., Falabella, F., Mastro, P., & Pepe, A. (2021). Integrated Analysis of the Combined Risk of Ground Subsidence, Sea Level Rise, and Natural Hazards in Coastal and Delta River Regions. Remote Sensing, 13(17), 3431. https://doi.org/10.3390/rs13173431