Rapid population growth combined with recent drought events and decades of political instability have left the residents of Kabul facing water scarcity, significantly relying on groundwater. Groundwater overexploitation might have induced various magnitudes of ground subsidence, however, to date, no comprehensive study of ground subsidence in Kabul has been conducted. In this study, we investigated the spatio-temporal evolution of ground deformation phenomena and its main governing processes in Kabul from 2014 to 2019 using C-Band Sentinel-1 derived Interferometric Synthetic Aperture Radar (InSAR) time-series from both ascending and descending orbits to extract the two-dimensional (2D) surface displacement field. Four subsidence bowls were distinguished with highly variable spatial extents and deformation magnitudes over four separate aquifer basins, with the maximum value of −5.3 cm/year observed in the Upper Kabul aquifer basin. A wavelet analysis suggests that there is a strong correlation between the groundwater level variations and subsidence. Investigation of hydrogeological data further reveals that the observed subsidence could be attributed to the presence of highly compressible clayey soils. This detailed space-borne regional survey provides new insights into the main governing mechanism of land subsidence in Kabul and may direct better mitigation plans of potential hazards.
<p>Residents of Kabul, Afghanistan have historically relied on groundwater delivered from unconfined aquifers. However, recent drought events and population growth have resulted in withdrawing groundwater beyond sustainable rates and water level decrease. Groundwater overexploitation might have induced various magnitudes of ground subsidence, however, the issue had been overlooked. &#160;In this study, we assessed the spatial and temporal evolution of ground deformation in Kabul and analysed the main governing processes.</p> <p>Deformation rates were extracted using InSAR SBAS time-series analysis of C-Band Sentinel-1 products from both ascending and descending orbits acquired from 2014 to 2019. &#160;The analysis revealed Line-of-Sight (LOS) mean velocity accounting for -4.08 and -4.3 cm/year for ascending and descending tracks, respectively. High correlation coefficient of 0.75 and the low RMSE of 0.60 cm/year suggest that the two measurements are consistent. To overcome the inherent limitation of InSAR- measurements being made in LOS direction only, multi-geometry data fusion was employed by combining two independent LOS measurements to estimate vertical and horizontal components of displacement. &#160;We delineated four subsidence bowls with highly variable spatial extent and deformation magnitudes in four aquifers present within the city boundaries, the largest of which is detected in Upper Kabul basin area with the vertical component reaching -5.3 cm/year and horizontal motion accounting for 1 cm/year. &#160;</p> <p>The InSAR-derived subsidence time-series results were interpreted in relation to the spatio-temporal variations of hydrological and geotechnical conditions of the study area to identify the triggering factors of subsidence. The trend observed in the deformation time-series and groundwater level change shows a good agreement, suggesting that groundwater drawdown is largely a function of groundwater level change. &#160;Wavelet analysis analysis allowed to distinguish long-term subsidence from recurring clay shrink-swell hazard in the region. &#160;Furthermore, the susceptibility of the aquifers to consolidation was found to be largely caused by the prevalence of fine-grained sediments in the subsurface, such as clay and silt, thus differential consolidation in the area is a function of variation in thickness and types of the lithology of the base sediment. &#160;</p> <p>In the context of climate change and increasing urban sprawl in Kabul, monitoring ground deformation using the satellite InSAR is an invaluable tool that provides new opportunities to inform not only subsidence hazard mitigation plans, but also approaches for sustainable management of groundwater resources and for improved planning of operations such as Managed Artificial Recharge (MAR) of aquifers.</p>
<p>Strata&#160;deformation&#160;associated with&#160;underground longwall&#160;coal&#160;mining&#160;can induce large magnitudes of ground surface subsidence. The Karagandy basin, one of the largest coal mining regions in Kazakhstan, is located in close proximity to urban areas and critical infrastructure, necessitating detailed investigation into the spatial distribution and temporal dynamics of subsidence. Synthetic aperture radar interferometry (InSAR) is recognised as a powerful tool to detect, map and quantify ground deformation. In this research, C-band Sentinel-1 products were used to implement interferometric and time-series analysis using the Small BAseline Subset (SBAS) algorithm. Subsidence bowls were detected over eight mining sites. The maximum annual velocity along line-of-sight, some &#8209;82&#160;mm/year, &#160;was detected at the Kostenko mine, whilst cumulative subsidence reached a maximum of 350&#160;mm in five years.&#160; Wavelet transform analysis was used to inspect the non-linear nature of the signal and confirmed the annual periodicity of ground deformation. Spatio-temporal analysis of subsidence patterns revealed the different drivers of deformation, with sites clustered accordingly. Results from the research offer considerable insight for facilitating decision-making in forward sustainable mining operations, both in Kazakhstan and further afield.</p>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.