Document Type : Subsidence as a global challenge: Crisis management or management crisis
Authors
1 MA Student in Remote Sensing, Department of Geomatics, Faculty of Civil and Transportation Engineering, University of Isfahan, Isfahan, Iran
2 Assistant Professor, Department of Geomatics, Faculty of civil and transportation engineering, University of Isfahan, Isfahan, Iran
3 Department of Geomatics Engineering, University of Isfahan, Isfahan, Iran;b Department of Civil and Environmental Engineering, Carleton University, Ottawa, Canada
Abstract
Land subsidence induced by soil consolidation is one of the natural hazards that occur gradually. This phenomenon has reached its critical state in most regions of Iran. Factors affecting subsidence are groundwater level depletion, land cover, soil type, elevation, slops gradient, rock bed depth, etc. The causes of subsidence should be investigated so that decisions could be based on the real characteristics of the region. Decrease in groundwater level is one of the most important factors that influences subsidence but due to the complexity of the relationship between subsidence and other factors, a direct linear relationship between groundwater level and subsidence cannot be considered. The study aimed to investigate the relationship between subsidence and groundwater changes through relationship between the two parameters in the period 2014 to 2018 in Isfahan. In this regard, the time series of radar interferometry and the time series of water levels of piezometric wells in the Isfahan were studied. The results show that in 12% of the wells, no correlation exists, in 9%, poor positive ignorable correlation, in 12%, fair positive correlation, in 48%, significant positive correlation, in 6%, poor negative ignorable correlation, in 4% fair negative correlation and in 9% there is a strong and negative significant correlation between the subsidence rate and the groundwater level. Correlation values show the complexity of the relationship between subsidence and water level depletion. Therefore, the relationship between subsidence and its causative factors requires more detailed studies and comprehensive models.
Graphical Abstract
Keywords
-
علیزاده، امین؛ 1367. اصول هیدرولوژی کاربردی. انتشارات آستان قدس رضوی، بنیاد فرهنگی رضوی.
- Ferretti, C. Prati, and F. Rocca., 2001. “Permanent scatterers in SAR interferometry,” IEEE Transactions on geoscience and remote sensing, vol. 39, no. 1, pp. 8-20, https:// doi.org/ 10.1109/ 36.898661.
- Rucci, A. Ferretti, A. M. Guarnieri, and F. Rocca., 2012. "Sentinel 1 SAR interferometry applications: The outlook for sub millimeter measurements," Remote Sensing of Environment, vol. 120, pp. 156-163, https://doi.org/10.1016/j.rse.2011.09.030.
- Tamburini, M. Bianchi, C. Giannico, and F. Novali., 2010. "Retrieving surface deformation by PSInSAR™ technology: A powerful tool in reservoir monitoring," International Journal of Greenhouse Gas Control, vol. 4, pp. 928-937.
- Chen, H. Gong, Y. Chen, X. Li, C. Zhou, K. Lei, L. Zhu, L. Duan, and X. Zhao., 2020. “Land subsidence and its relation with groundwater aquifers in Beijing Plain of China,” Science of the Total Environment, vol. 735, pp. 139111.
- H. Chen, C.-H. Wang, Y.-J. Hsu, S.-B. Yu, and L.-C. Kuo., 2010. “Correlation between groundwater level and altitude variations in land subsidence area of the Choshuichi Alluvial Fan, Taiwan,” Engineering Geology, vol. 115, no. 1-2, pp. 122-131.
- Békési, P. A. Fokker, J. E. Martins, J. Limberger, D. Bonté, and J.-D. Van Wees., 2019. “Production-induced subsidence at the Los Humeros geothermal field inferred from PS-InSAR,” geofluids.
- S. Firdaus, Y. Prasetyo, and D. Diyanah., 2018. "Spatial Correlation Analysis of Land Subsidence and The Water Table Changes in Unconfined Aquifers Using Sentinel 1-SAR Image and Geographic Information Systems (Case Study: Semarang City–Indonesia)." pp. 03022.
- Sun, Q. Zhang, C. Zhao, C. Yang, Q. Sun, and W. Chen., 2017. “Monitoring land subsidence in the southern part of the lower Liaohe plain, China with a multi-track PS-InSAR technique,” Remote sensing of environment, vol. 188, pp. 73-84.
- Wang, J. Mao, S. Zhao, X. Ning, and Q. Wu., 2021. "PS-InSAR based surface subsidence analysis in Changchun metropolitan area," in E3S Web of Conferences.
- Biswas, D. Chakravarty, P. Mitra, and A. Misra., 2018. "Spatial Correlation Based Psinsar Technique to Estimate Ground Deformation in las Vegas Region, Us," in IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 2251-225.
- Malik, D. Kumar, D. Perissin, and B. Pradhan., 2021. “Estimation of ground subsidence of New Delhi, India using PS-InSAR technique and Multi-sensor Radar data,” Advances in Space Research.
- Oštir, and M. Komac., 2007. “PSInSAR and DInSAR methodology comparison and their applicability in the field of surface deformations a case of NW Slovenia,” Geologija, vol. 50, no. 1, pp. 77-96.
- Solari, A. Ciampalini, F. Raspini, S. Bianchini, and S. Moretti., 2016. “PSInSAR analysis in the Pisa urban area (Italy): A case study of subsidence related to stratigraphical factors and urbanization,” Remote Sensing, vol. 8, no. 2, pp. 120.
- Khorrami, B. Alizadeh, E. Ghasemi Tousi, M. Shakerian, Y. Maghsoudi, and P. Rahgozar. 2019. "How groundwater level fluctuations and geotechnical properties lead to asymmetric subsidence: A PSInSAR analysis of land deformation over a transit corridor in the Los Angeles metropolitan area," Remote Sensing, vol. 11, p. 377.
- F. Hanssen., 2001. Radar interferometry: data interpretation and error analysis: Springer Science & Business Media.
- Xiong, C. Wang, X. Qin, B. Zhang, and Q. Li., 2021. “Time-Series Analysis on Persistent Scatter-Interferometric Synthetic Aperture Radar (PS-InSAR) Derived Displacements of the Hong Kong–Zhuhai–Macao Bridge (HZMB) from Sentinel-1A Observations,” Remote Sensing, vol. 13, no. 4, pp. 546.
Send comment about this article