Differential synthetic aperture radar (SAR) interferometry for detection land subsidence in Derna City, Libya
Author:
Ibrahim Heba Basyouni1, Salah Mahmoud2, Zarzoura Fawzi3, El-Mewafi Mahmoud3
Affiliation:
1. Public Work Department, Faculty of Engineering , Mansoura University , Mansoura , Egypt 2. Public Works Department, Faculty of Engineering , Benha University , Benha , Egypt 3. Public Works Department, Faculty of Engineering , El-Mansoura University , Mansoura , Egypt
Abstract
Abstract
The country of Libya, situated on the Mediterranean fault zone, has a distinctive geodynamic regime due to the interplay between the Eurasian and African plates, which governs its tectonic evolution. In addition to its seismological significance, Libya is characterized by numerous subsidence and slope instabilities in regions with steep terrain. These geological phenomena have significant consequences for the built environment, as they pose an immediate danger to entire towns and essential infrastructure. Furthermore, infrequent weather phenomena, such as intense precipitation and thunderstorms, when coupled with the geological characteristics of some regions and the presence of seismically active terrain, have the potential to trigger landslide and land subsidence, resulting in significant harm to vital infrastructure. The current study utilizes the DInSAR technology to identify distinct subsidence occurrences that were induced by intense precipitation in coastal regions of Libya, specifically in Derna. These areas experienced significant flooding resulting in collapses during September 2023. A total of six pairs of co-event Interferometric Synthetic Aperture Radar (SAR) were utilized to generate displacement maps in the vertical, north-east, and north-west directions for the purpose of analysing the deformations. The aforementioned activities are conducted via Sentinel-1A images, which is freely accessible through the Copernicus program. Additionally, flood-prone zones were defined using Sentinel-1 GRD imagery. The Interferometric processing revealed multiple areas of subsidence. Subsidence rates of up to −14 cm were found in Derna city’s urban cores after flood. The findings suggest that subsidence may have an effect on the flood-proneness of the region of Derna City as Ground subsidence also occurred in the period immediately before the earthquake, at a rate of −14 cm.
Publisher
Walter de Gruyter GmbH
Subject
Earth and Planetary Sciences (miscellaneous),Engineering (miscellaneous),Modeling and Simulation
Reference38 articles.
1. Chen, W, Hong, H, Li, S, Shahabi, H, Wang, Y, Wang, X, et al.. Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles. J Hydrol 2019;575:864–73. https://doi.org/10.1016/j.jhydrol.2019.05.089. 2. Choubin, B, Moradi, E, Golshan, M, Adamowski, J, Sajedi-Hosseini, F, Mosavi, A. An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines. Sci Total Environ 2019;651:2087–96. https://doi.org/10.1016/j.scitotenv.2018.10.064. 3. Birkholz, S, Muro, M, Jeffrey, P, Smith, HM. Rethinking the relationship between flood risk perception and flood management. Sci Total Environ 2014;478:12–20. https://doi.org/10.1016/j.scitotenv.2014.01.061. 4. Shahabi, H, Shirzadi, A, Ghaderi, K, Omidvar, E, Al-Ansari, N, Clague, JJ, et al.. Detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: hybrid intelligence of bagging ensemble based on K-nearest neighbor classifier. Remote Sens 2020;12:266. https://doi.org/10.3390/rs12020266. 5. Peel, MC, Finlayson, BL, McMahon, TA. Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 2007;11:1633–44. https://doi.org/10.5194/hess-11-1633-2007.
|
|