پژوهشهای دانش زمین

پژوهشهای دانش زمین

Spatial mismatch between recorded groundwater pumping and land subsidence in the alluvial plains of Alborz province, Iran: evidence from SBAS InSAR and multitemporal LULC analysis (2010–2024)

نوع مقاله : مقاله پژوهشی

نویسندگان
Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran
چکیده
Groundwater-related land subsidence is widespread in Iran’s alluvial aquifers, yet the spatial correspondence between groundwater use, land-use/land-cover (LULC) patterns, and surface deformation remains poorly constrained. This study integrated annual Sentinel-1 SBAS-InSAR line-of-sight (LOS) deformation for 2015–2024, Random Forest LULC maps for 2010, 2015, 2020, and 2024, a provincial pumping-well inventory, and temporally resolved groundwater-monitoring records across the Tehran–Karaj, Hashtgerd, and Eshtehard plains of Alborz Province. Direct LULC–deformation comparisons were restricted to exact same-year pairs for 2015, 2020, and 2024, and spatial dependence was addressed using variograms, distance thinning, and 14-km block-level inference. Agricultural land declined by 98.99 km² (14.80%) between 2010 and 2024. Within the valid long-term InSAR footprint, 636.14 km² (19.24%) met the operational active-subsidence criterion of ≤ −20 mm yr⁻¹. Agricultural land had the most-negative mean and median annual LOS deformation in all three matched years, with Kruskal–Wallis ε² values of 0.378, 0.222, and 0.273. This ranking persisted in 42 of 45 spatial-thinning configurations, while the agriculture–bare-land contrast remained supported at the 14-km block scale in all three years. Static well data showed a further spatial mismatch: Tehran–Karaj contained the largest recorded pumping capacity, whereas Hashtgerd exhibited substantially more-negative long-term deformation. The recorded-discharge and subsidence-intensity centroids were separated by 15.16 km, and this distance varied only from 15.00 to 15.28 km across tested LOS thresholds. In contrast, a 23-site temporal monitoring panel showed no robust contemporaneous or 1–2-year lagged association between monitored pumping intensity and annual LOS deformation. The results indicate that groundwater-use environments are persistently associated with stronger subsidence, but recorded pumping capacity alone does not explain its spatial distribution. Hydrogeological heterogeneity and groundwater-head history are therefore critical for interpreting and managing subsidence across the three plains.
کلیدواژه‌ها
موضوعات

Agha alikhani, M., Karam, A., Shayan, S. and Akbary, M., 2021. Prediction of changes in morpho-climatic areas based on climate change scenarios, Alborz Province, Iran. Quantitative Geomorphological Research, v. 10(2), p. 229-247. https://doi.org/10.22034/gmpj.2021.241205.1193
Alborz Plan and Budget Organization. 2024. Deputy of Statistics and Information, [In Persian]. A. P. a. B. Organization.
Asghari Saraskanrood, S., Esfandyari Darabad, F., Faal Nazari, M. and Zeinali, B., 2025. Comparative comparison of the performance of CODAS, MABAC algorithms in zoning the risk of land subsidence using environmental indicators (case study: the boundaries of the cities of Alborz province) [In Persian]. Quantitative Geomorphological Researches, v. 13(4), p. 58-81. https://doi.org/10.22034/gmpj.2024.458189.1504
Berardino, P., Fornaro, G., Lanari, R. and Sansosti, E., 2002. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, v. 40(11), p. 2375-2383. https://doi.org/10.1109/TGRS.2002.803792
Breiman, L., 2001. Random Forests. Machine Learning, v. 45, p. 5-32. https://doi.org/10.1023/A:1010933404324
Cohen, J., 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, v. 20(1), p. 37-46. https://doi.org/10.1177/001316446002000104
Delegido, J., Verrelst, J., Alonso, L. and Moreno, J., 2011. Evaluation of Sentinel-2 red-edge bands for empirical estimation of green LAI and chlorophyll content. Sensors, v. 11(7), p. 7063-7081. https://doi.org/10.3390/s110707063
Ferretti, A., Prati, C. and Rocca, F., 2001. Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, v. 39(1), p. 8-20. https://doi.org/10.1109/36.898661
Galloway, D.L., Jones, D.R. and Ingebritsen, S.E., 1999. Land Subsidence in the United States (Circular 1182). U. S. G. Survey.
Ghanbari, A., Nakhaee, M., Kalani, S. and Azizi, H., 2026. A field-based investigation of land subsidence indicators in Alborz province, (In Persian). Journal of Engineering Geology, v. 20(1), p. 48-67. https://doi.org/10.22034/JEG.2026.20.1.10396
Goorabi, A., Karimi, M. and Allahveisi, A., 2025. Multitemporal Land Use and Land Cover Change Detection via Foundation Model Embeddings (AlphaEarth): A Pixel-Wise Similarity Framework in a Rapidly Urbanizing Semi-Arid Region (Alborz, Iran 2017–2024), (In Persian). Quantitative Geomorphological Research, v. 14(3), p. 124-149. https://doi.org/10.22034/gmpj.2026.566714.1594
Hasan, M.F., Smith, R., Vajedian, S., Pommerenke, R. and Majumdar, S., 2023. Global land subsidence mapping reveals widespread loss of aquifer storage capacity. Nature Communications, v. 14(1), 6192. https://doi.org/10.1038/s41467-023-41933-z
Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X. and Ferreira, L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, v. 83(1-2), p. 195-213. https://doi.org/10.1016/S0034-4257(02)00096-2
Jenks, G.F., 1967. The data model concept in statistical mapping. International Yearbook of Cartography, v. 7, p. 186-190.
Kalantarian, F., Navvar Noveiri, M. and Sheikh, M., 2025. Geological and Hydrogeological Analysis of Land Subsidence in Hashtgerd Plain and Factors Affecting its Aggravation or Mitigation (In Persian). Quaternary Journal of Iran, v. 10(3-4), p. 283-296. https://doi.org/10.22034/irqua.2025.2054321.1041
Kruskal, W.H. and Wallis, W.A., 1952. Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, v. 47(260), p. 583-621. https://doi.org/10.1080/01621459.1952.10483441
Liu, Z., Ng, A.H.M., Wang, H., Chen, J., Du, Z. and Ge, L., 2023. Land subsidence modeling and assessment in the West Pearl River Delta from combined InSAR time series, land use and geological data. International Journal of Applied Earth Observation and Geoinformation, v. 118, 103228. https://doi.org/10.1016/j.jag.2023.103228
Mehrnoor, S., Robati, M., Kheirkhah Zarkesh, M.M., Farsad, F. and Baikpour, S., 2023. Land Subsidence Hazard Zoning in Hashtgerd Plain based on Integrated Multi-Criteria Decision-Making Approach: WOI-BWM. Journal of Geography and Environmental Hazards, v. 11(4), p. 127-148. https://doi.org/10.22067/geoeh.2022.75445.1188
Nakhaei, M., Mohebbi Tafreshi, A. and Saadi, T., 2023. Assessment and spatio-temporal zoning of groundwater drought risk in Hashtgerd aquifer by groundwater resource index, [In Persian]. Journal of Engineering Geology, v. 17(4), p. 444-464. https://doi.org/10.22034/JEG.2023.17.4.1019771
Noori, R., Maghrebi, M., Mirchi, A., Tang, Q., Bhattarai, R., Sadegh, M., Noury, M., Torabi Haghighi, A., Kløve, B. and Madani, K., 2021. Anthropogenic depletion of Iran's aquifers. Proceedings of the National Academy of Sciences, v. 118(25), e2024221118. https://doi.org/10.1073/pnas.2024221118
Norouzi, R., Eftekhari, S.M., Ahmadabadi, A. and Alinoori, K., 2025. Subsidence of Critical Prohibited Well Drilling Plains (Study Area: Eshtehard Plain), [In Persian]. Journal of Applied Research in Geographical Sciences, v. 25(78), p. 66-89. https://doi.org/10.61186/jgs.25.78.24
Payne, J.A., Watson, A.R., Maghsoudi, Y., Ebmeier, S.K., Rigby, R., Lazecký, M., Thomas, M. and Elliott, J.R., 2025. Widespread Extent of Irrecoverable Aquifer Depletion Revealed by Country‐Wide Analysis of Land Surface Subsidence Hazard in Iran. Journal of Geophysical Research: Solid Earth, v. 130(9), e2024JB030367. https://doi.org/10.1029/2024jb030367
Rikimaru, A., Roy, P.S. and Miyatake, S., 2002. Tropical forest cover density mapping. Tropical Ecology, v. 43(1), p. 39-47.
Rostami, A., Entezari, M. and Zakerinejad, R., 2023. Assessment and analysis of subsidence risk in Hashtgerd Plain (In Persian). Quantitative Geomorphological Research, v. 12(3), p. 140-156. https://doi.org/10.22034/gmpj.2023.414731.1454
Roy, D.P., Wulder, M.A., Loveland, T.R., Woodcock, C.E., Allen, R.G., Anderson, M.C., Helder, D., Irons, J.R., Johnson, D.M., Kennedy, R., Scambos, T.A., Schaaf, C.B., Schott, J.R., Sheng, Y., Vermote, E.F., Belward, A. S., Bindschadler, R., Cohen, W.B., Gao, F. and Zhu, Z., 2014. Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, v. 145, p. 154-172. https://doi.org/10.1016/j.rse.2014.02.001
Safdari, Z., Nahavandchi, H. and Joodaki, G., 2022. Estimation of Groundwater Depletion in Iran’s Catchments Using Well Data. Water, v. 14(1), 131 p. https://doi.org/10.3390/w14010131
Shiri, M., Lashkaripour, G.R. and Hafezi Moghadas, N., 2024. Integrated AHP and DInSAR Approach for Land Subsidence Hazard Assessment in Karaj Plain, Iran. Geopersia, v. 14(2), p. 397-418. https://doi.org/10.22059/geope.2024.374588.648751
Terzaghi, K., 1943. Theoretical Soil Mechanics. John Wiley & Sons.
Torres, R., Snoeij, P., Geudtner, D., Bibby, D., Davidson, M., Attema, E., Potin, P., Rommen, B., Floury, N., Brown, M., Traver, I.N., Deghaye, P., Duesmann, B., Rosich, B., Miranda, N., Bruno, C., L'Abbate, M., Croci, R., Pietropaolo, A. and Rostan, F., 2012. GMES Sentinel-1 mission. Remote Sensing of Environment, v. 120, p. 9-24. https://doi.org/10.1016/j.rse.2011.05.028
Tucker, C.J., 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, v. 8(2), p. 127-150. https://doi.org/10.1016/0034-4257(79)90013-0
Xu, H., 2006. Modification of Normalized Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery. International Journal of Remote Sensing, v. 27(14), p. 3025-3033. https://doi.org/10.1080/01431160600589179
Zha, Y., Gao, J. and Ni, S., 2003. Use of Normalized Difference Built-Up Index in Automatically Mapping Urban Areas from TM Imagery. International Journal of Remote Sensing, v. 24(3), p. 583-594. https://doi.org/10.1080/01431160304987
Zhao, F., Miao, F., Wu, Y., Xiong, Y., Gong, S. and Sun, D., 2024. Land subsidence susceptibility mapping in urban settlements using time-series PS-InSAR and random forest model. Gondwana Research, v. 125, p. 406-424. https://doi.org/10.1016/j.gr.2023.09.019