Radar Interferometry-Based Investigation of Land Subsidence in Shiraz Plain Using ENVISAT ASAR C-Band Data: A Case Study of the South Zagros Region- Iran
Subject Areas : Journal of Radar and Optical Remote Sensing and GIS
1 - Master’s of Remote Sensing and GIS, Yazd Branch, Islamic Azad University, Yazd, Iran
Keywords: Land subsidence, Radar interferometry, Groundwater abstraction, Shiraz Plain, Drought impact, ENVISAT ASAR, South Zagros,
Abstract :
Objective: Land subsidence is the gradual or sudden downward movement of the earth's surface, often resulting from the extraction of groundwater, minerals, or hydrocarbons. This phenomenon, which can cause significant structural damage and environmental degradation, is increasingly prevalent in regions with excessive groundwater abstraction. The primary objective of this study was to assess subsidence in Shiraz Plain, using radar interferometry to analyze ground deformation due to groundwater depletion and other environmental factors, such as droughts and historical lake bed conditions.
Methods: This study employed ENVISAT ASAR C-band radar images from 2007-2009 to investigate subsidence patterns in the Shiraz Plain. The images were processed using ENVI5.3.1 software with the SARscape plugin, including interferometry, ADAPT filters, and Goldstein filtering to mitigate errors and improve image quality. The final phase-to-displacement conversion and geocoding steps resulted in subsidence maps, which were used to analyze displacement across different regions. The data were validated by comparing the generated subsidence maps with field observations.
Results: The analysis revealed subsidence rates ranging from -14 cm to +5 cm, with the most significant displacements observed in the southeast of Shiraz and parts of Beiza. Ground displacement in urban and agricultural areas was also notable, with an average subsidence rate of -3.5 cm. The primary causes of subsidence in these regions were identified as excessive groundwater extraction, historical lake bed conditions, and geological factors such as fault zones.
Conclusion: The study highlights the importance of sustainable groundwater management to mitigate subsidence risks, and recommends continued monitoring and implementation of water conservation strategies to prevent further ground displacement in the region.
Bagheri-Gavkosh, M., Hosseini, S. M., Ataie-Ashtiani, B., Sohani, Y., Ebrahimian, H., Morovat, F., & Ashrafi, S. (2021). Land subsidence: A global challenge. Science of The Total Environment, 778, 146193. https://doi.org/10.1016/j.scitotenv.2021.146193
Bhattacharya, A., & Mukherjee, K. (2017). Review on InSAR based displacement monitoring of Indian Himalayas: issues, challenges and possible advanced alternatives. Geocarto International, 32(3), 298-321. https://doi.org/10.1080/10106049.2016.1140820
Campbell, J. B., & Resler, L. M. (2016). Geomorphological studies from remote sensing. Remote Sensing Handbook, Volume V, 3-34.
Cigna, F., Bateson, L. B., Jordan, C. J., & Dashwood, C. (2014). Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery. Remote Sensing of Environment, 152, 441-466. https://doi.org/10.1016/j.rse.2014.06.025
Congnan, G., & Liang, H. (2023). Influence of Urban Expansion on Land Subsidence: A Case Study of Tongzhou District, Beijing. Journal of Civil Engineering and Urban Planning, 5(2), 27-34. https://dx.doi.org/10.23977/jceup.2023.050204
DehghanSh, K. S., Eslamian, S., Gandomkar, A., Marani-Barzani, M., Amoushahi-Khouzani, M., Singh, V., & Ostad-Ali-Askari, K. (2017). Changes in temperature and precipitation with the analysis of geomorphic basin Chaos in Shiraz, Iran. Int J Constr Res Civ Eng, 3(2), 50-7.
El-Hadidy, S. M. (2024). Towards sustainable development goals: Leveraging multi-data remote sensing fusion for monitoring groundwater-induced bedrock subsidence dynamics in Egypt's Nile Valley. Groundwater for Sustainable Development, 27, 101353. https://doi.org/10.1016/j.gsd.2024.101353
Feizizadeh, B., Abdollahi, Z., & Shokati, B. (2022). A GIS-based spatiotemporal impact assessment of droughts in the hyper-saline Urmia Lake Basin on the hydro-geochemical quality of nearby aquifers. Remote Sensing, 14(11), 2516. https://doi.org/10.3390/rs14112516
Huning, L. S., Love, C. A., Anjileli, H., Vahedifard, F., Zhao, Y., Chaffe, P. L., ... & AghaKouchak, A. (2024). Global land subsidence: Impact of climate extremes and human activities. Reviews of Geophysics, 62(4), e2023RG000817. https://doi.org/10.1029/2023RG000817
Hwang, C., Yang, Y., Kao, R., Han, J., Shum, C. K., Galloway, D. L., ... & Li, F. (2016). Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China. Scientific reports, 6(1), 28160. https://doi.org/10.1038/srep28160
Long, Z. H. A. O., Yumei, L. I., Wenjun, C. U. I., Yong, L. U. O., Youquan, Z. H. A. N. G., Fang, T. I. A. N., ... & Minghuan, Q. I. (2018). Disaster characteristics and influence factors for ground fissures at Songzhuang Village in Beijing. 工程地质学报, 26(6), 1600-1610. https://dx.doi.org/10.13544/j.cnki.jeg.2017-426
Mahmoudpour, M., Khamehchiyan, M., Nikudel, M., & Gassemi, M. (2013). Characterization of regional land subsidence induced by groundwater withdrawals in Tehran, Iran. Geopersia, 3(2), 49-62.
Ng, A. H. M., Ge, L., Du, Z., Wang, S., & Ma, C. (2017). Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2, Sentinel-1 and ALOS-2 data. International Journal of Applied Earth Observation and Geoinformation, 61, 92-103. https://doi.org/10.1016/j.jag.2017.05.009
Pacheco, J., Arzate, J., Rojas, E., Arroyo, M., Yutsis, V., & Ochoa, G. (2006). Delimitation of ground failure zones due to land subsidence using gravity data and finite element modeling in the Querétaro valley, México. Engineering Geology, 84(3-4), 143-160. https://doi.org/10.1016/j.enggeo.2005.12.003
Pepe, A., & Calò, F. (2017). A review of interferometric synthetic aperture RADAR (InSAR) multi-track approaches for the retrieval of Earth’s surface displacements. Applied Sciences, 7(12), 1264. https://doi.org/10.3390/app7121264
Rahnema, H., & Mirassi, S. (2016). Studying Land Subsidence around the City of Shiraz. Scientia Iranica, 23(3), 882-895. https://doi.org/10.24200/sci.2016.2167
Sadeghi, S. H., & Hazbavi, Z. (2022). Land degradation in Iran. In Global Degradation of Soil and Water Resources: Regional Assessment and Strategies (pp. 287-314). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-16-7916-2_20
Sekkeravani, M. A., Bazrafshan, O., Pourghasemi, H. R., & Holisaz, A. (2022). Spatial modeling of land subsidence using machine learning models and statistical methods. Environmental Science and Pollution Research, 29(19), 28866-28883. https://doi.org/10.1007/s11356-021-18037-6
Shirzaei, M., Freymueller, J., Törnqvist, T. E., Galloway, D. L., Dura, T., & Minderhoud, P. S. (2021). Measuring, modelling and projecting coastal land subsidence. Nature Reviews Earth & Environment, 2(1), 40-58. https://doi.org/10.1038/s43017-020-00115-x
Varesi, H., Vazin, N., & Azimi Kohanjani, M. (2023). The Impact of City Identity Factors on Tourism Development the Case Study of Shiraz city. urban tourism, 10(3), 15-31. https://doi.org/10.22059/jut.2023.350827.1080
Woldesenbet, T. T., Arefaine, H. B., & Yesuf, M. B. (2023). Numerical stability analysis and geotechnical investigation of landslide prone area (the case of Gechi district, Western Ethiopia). Environmental Challenges, 13, 100762. https://doi.org/10.1016/j.envc.2023.100762