Engineering Geology

Engineering Geology

Determining land subsidence rate and its relationship with groundwater level decline using satellite data in the Damghan aquifer

Authors
Akramalsadad Ghadami 1
Houshang Khairy 2
Ebrahim Rahimi 2
1 Damghan University
2 amghan University
10.22034/JEG.2026.20.1.1020151
Abstract
Land subsidence is one of the major geomorphological hazards in arid and semi-arid regions. It is primarily caused by excessive groundwater extraction. In such areas, a decline in groundwater levels can lead to the irreversible compaction of fine-grained layers, a reduction in storage capacity, and damage to critical infrastructure. This study aims to monitor the rate of land subsidence in the Damghan aquifer and analyse its relationship with groundwater decline, using satellite data, piezometric information and field evidence. The study area covers part of the Damghan aquifer in Semnan Province, spanning approximately 1,522 km². It contains an unconfined aquifer within heterogeneous alluvial deposits. The dataset includes Sentinel-1A images from 2017 to 2021, records from 38 observation wells from 2017 to 2022, and drilling logs from 13 exploitation boreholes. The results indicated that the decline in groundwater levels in the central and south-eastern parts of the aquifer reached 5 metres, with an average annual rate of approximately 0.33 metres. Radar interferometry maps confirmed an average Analysis of soil texture and saturated thickness revealed that zones with higher percentages of clay and silt are more sensitive to groundwater decline. Even small drawdowns in boreholes containing fine-grained sediments resulted in noticeable subsidence, whereas boreholes containing coarse-grained sediments showed limited deformation. Field evidence, including casing protrusion in piezometer wells of up to 27 cm, the formation of initial sinkholes and changes in natural drainage patterns, highlights the practical implications of this phenomenon. The findings of this study demonstrate that, in interaction with geological characteristics and soil texture, groundwater decline is the main driver of subsidence in the Damghan aquifer. Therefore, continuous groundwater monitoring and targeted management of exploitation are essential to mitigate risks and ensure the region's environmental and economic sustainability.
Keywords
Damghan aquifer
groundwater depletion
Land subsidence
SNAP
Sentinel-1A
Abidin, H. Z., Andreas, H., Gumilar, I., Fukuda, Y., Pohan, Y. E., & Deguchi, T. (2011). Land subsidence of Jakarta (Indonesia) and its relation with urban development. Natural Hazards, 59(3), 1753–1771. https://doi.org/10.1007/s11069-011-9866-9
Ashuri, R., Emamgholizadeh, S., Haji Kandy, H., Mehdizadeh, S. S., & Jamali, S. (2023). Estimation of land subsidence using coupled particle swarm optimization and genetic algorithm: The case of Damghan aquifer. Water Supply, 24(2), 416–435. https://doi.org/10.2166/ws.2024.002
Bagheri-Gavkosh, M., Hosseini, S. M., Ataie-Ashtiani, B., Sohani, Y., Ebrahimian, H., & Morovat, F. (2021). Land subsidence: A global challenge. Science of the Total Environment, 786, 146193. https://doi.org/10.1016/j.scitotenv.2021.146193
Bianchini, S., Ashuri, R., Emamgholizadeh, S., & Jamali, S. (2023). Study of the spatial changes of subsidence in Damghan plain and its prediction using artificial neural network model. Arid and Tropical Water and Environment, 13(1), 1–18. https://doi.org/10.22126/atwe.2023.9801.1065
Bianchini, S., Ciampalini, A., Raspini, F., & Moretti, S. (2019). Ground Subsidence Susceptibility (GSS) Mapping in Grosseto Plain Using Remote Sensing and GIS Techniques. Remote Sensing, 11(3), 1–18.
Chaussard, E., Amelung, F., Abidin, H., & Hong, S. H. (2013). Sinking cities in Indonesia: ALOS-based InSAR analysis of urban subsidence. Remote Sensing of Environment, 128, 150–161.
Faunt, C. C., Traum, J. A., Boyce, S. E., Seymour, W. A., Jachens, E. R., Brandt, J. T., Sneed, M., Bond, S., & Marcelli, M. F. (2024). Groundwater sustainability and land subsidence in California’s Central Valley. Water, 16(8), 1189. https://doi.org/10.3390/w16081189
Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39(1), 8–20.
Ghorbani, Z., Khosravi, A., Maghsoudi, Y., Mojtahedi, F. F., Javadnia, E., & Nazari, A. (2022). Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran. Scientific Reports, 12(1), 13998.
Motagh, M., Walter, T. R., Sharifi, M. A., Fielding, E. J., Schurr, B., & Nahavandchi, H. (2008). Land subsidence in Iran caused by widespread water reservoir overexploitation revealed by satellite radar interferometry. Geophysical Research Letters, 35(16), L16403. https://doi.org/10.1029/2008GL033814
Peng, M., Lu, Z., Zhao, C., Motagh, M., Bai, L., & Conway, B. D. (2022). Mapping land subsidence and aquifer system properties of the Willcox Basin, Arizona from InSAR observations and independent component analysis. Remote Sensing of Environment, 280, 113179. https://doi.org/10.1016/j.rse.2022.113179
Qin, M., Yang, J., Bai, Y., & Bai, Y. (2025). The subsidence–distance relationship for land subsidence induced by groundwater abstraction. Hydrogeology Journal, 33, 205–217. https://doi.org/10.1007/s10040-024-02847-2.
Sadeghi, H., Darzi, A. G., Voosoghi, B., Garakani, A. A., Ghorbani, Z., & Mojtahedi, S. F. F. (2023). Assessing the vulnerability of Iran to subsidence hazard using a hierarchical FUCOM-GIS framework, Remote Sens. Appl.: Soc. Environ., 31, 100989.