Spatiotemporal Evolution Analysis of the 3-D Deformation Field of Land Subsidence in Beijing after the South-to-North Water Diversion Project — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Spatiotemporal Evolution Analysis of the 3-D Deformation Field of Land Subsidence in Beijing after the South-to-North Water Diversion Project
Heilongjiang General Institute of Ecological Survey and Research, Harbin, China
,
College of Resource Environment and Tourism, Capital Normal University, Beijing, China
,
College of Resource Environment and Tourism, Capital Normal University, Beijing, China
,
Key Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, China
1 Heilongjiang General Institute of Ecological Survey and Research, Harbin, China
2 College of Resource Environment and Tourism, Capital Normal University, Beijing, China
3 College of Resource Environment and Tourism, Capital Normal University, Beijing, China
4 Key Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, China
The implementation of the South-to-North Water Diversion Project (SNWDP) has alleviated groundwater resource pressure in North China to some extent, resulting in a gradual deceleration of land subsidence and even rebound in some areas. To investigate the spatiotemporal evolution characteristics of land subsidence in the eastern plain of Beijing following the SNWDP, this study employs Ascending (ASC) and Descending (DES) InSAR data combined with a Strain Model (SM) to obtain a Three-Dimensional (3-D) deformation field from 2016 to 2018. Through analysis of the 3-D deformation characteristics and spatiotemporal evolution of land subsidence in this region from 2016 to 2018, the results reveal a shift in the distribution of subsiding areas after the South-to-North Water Diversion, with a marked decrease in subsidence rates in certain areas. The maximum subsidence rate in the Beijing area has decreased to 110 mm/yr, accompanied by horizontal deformation at a rate of 12 mm/yr. Additionally, by examining the spatial relationship between major active faults and subsidence deformation in this region, the study further elucidates the influence of fault activity on the spatial distribution of subsidence deformation.
Bagheri-Gavkosh, M., Hosseini, S.M., Ataie-Ashtiani, B., Sohani, Y., Ebrahimian, H., Morovat, F., et al . (2021) Land Subsidence: A Global Challenge. Science of the Total Environment , 778, Article ID: 146193. https://doi.org/10.1016/j.scitotenv.2021.146193
Chaussard, E., Amelung, F., Abidin, H. and Hong, S. (2013) Sinking Cities in Indonesia: ALOS PALSAR Detects Rapid Subsidence Due to Groundwater and Gas Extraction. Remote Sensing of Environment , 128, 150-161. https://doi.org/10.1016/j.rse.2012.10.015
Riel, B., Simons, M., Ponti, D., Agram, P. and Jolivet, R. (2018) Quantifying Ground Deformation in the Los Angeles and Santa Ana Coastal Basins Due to Groundwater Withdrawal. Water Resources Research , 54, 3557-3582. https://doi.org/10.1029/2017wr021978
Chen, B., Gong, H., Chen, Y., Li, X., Zhou, C., Lei, K., et al . (2020) Land Subsidence and Its Relation with Groundwater Aquifers in Beijing Plain of China. Science of the Total Environment , 735, Article ID: 139111. https://doi.org/10.1016/j.scitotenv.2020.139111
Zhao, Q., Ma, G., Wang, Q., Yang, T., Liu, M., Gao, W., et al . (2019) Generation of Long-Term InSAR Ground Displacement Time-Series through a Novel Multi-Sensor Data Merging Technique: The Case Study of the Shanghai Coastal Area. ISPRS Journal of Photogrammetry and Remote Sensing , 154, 10-27. https://doi.org/10.1016/j.isprsjprs.2019.05.005
Nicholls, R.J., Lincke, D., Hinkel, J., Brown, S., Vafeidis, A.T., Meyssignac, B., et al . (2021) A Global Analysis of Subsidence, Relative Sea-Level Change and Coastal Flood Exposure. Nature Climate Change , 11, 338-342. https://doi.org/10.1038/s41558-021-00993-z
Chen, B., Gong, H., Chen, Y., Lei, K., Zhou, C., Si, Y., et al . (2021) Investigating Land Subsidence and Its Causes along Beijing High-Speed Railway Using Multi-Platform InSAR and a Maximum Entropy Model. International Journal of Applied Earth Observation and Geoinformation , 96, Article ID: 102284. https://doi.org/10.1016/j.jag.2020.102284
Abidin, H.Z., Andreas, H., Gumilar, I., Fukuda, Y., Pohan, Y.E. and Deguchi, T. (2011) Land Subsidence of Jakarta (Indonesia) and Its Relation with Urban Development. Natural Hazards , 59, 1753-1771. https://doi.org/10.1007/s11069-011-9866-9
Abidin, H.Z., Andreas, H., Djaja, R., Darmawan, D. and Gamal, M. (2007) Land Subsidence Characteristics of Jakarta between 1997 and 2005, as Estimated Using GPS Surveys. GPS Solutions , 12, 23-32. https://doi.org/10.1007/s10291-007-0061-0
Guo, H., et al . (2017) The Evolution Characteristics and Mechanism of the Land Subsidence in Typical Areas of the North China Plain. Geology in China , 44, 1115-1127.
Xu, Y., Shen, S., Cai, Z. and Zhou, G. (2007) The State of Land Subsidence and Prediction Approaches Due to Groundwater Withdrawal in China. Natural Hazards , 45, 123-135. https://doi.org/10.1007/s11069-007-9168-4
Guo, H., Wang, L., Cheng, G. and Zhang, Z. (2015) Groundwater-Abstraction Induced Land Subsidence and Groundwater Regulation in the North China Plain. Proceedings of the International Association of Hydrological Sciences , 372, 17-21. https://doi.org/10.5194/piahs-372-17-2015
Su, G., Wu, Y., Zhan, W., Zheng, Z., Chang, L. and Wang, J. (2021) Spatiotemporal Evolution Characteristics of Land Subsidence Caused by Groundwater Depletion in the North China Plain during the Past Six Decades. Journal of Hydrology , 600, Article ID: 126678. https://doi.org/10.1016/j.jhydrol.2021.126678
Guo, C., Nie, J., Tian, J., Wang, W., Cheng, C., Wang, B., et al . (2019) Vertical Ground Displacements in the Shandong Province Derived from Long-Term GNSS and Leveling Surveying. Advances in Space Research , 64, 1388-1397. https://doi.org/10.1016/j.asr.2019.06.035
Jia, C., Di, S., Sun, X., Zhang, S., Ding, P. and Liu, Z. (2021) Spatiotemporal Evolution Characteristics and Transfer Law of Land Subsidence in Sand-Clay Interbed Caused by Exploiting the Groundwater. Arabian Journal for Science and Engineering , 46, 5733-5753. https://doi.org/10.1007/s13369-020-05149-3
Peltier, A., Froger, J., Villeneuve, N. and Catry, T. (2017) Assessing the Reliability and Consistency of InSAR and GNSS Data for Retrieving 3D-Displacement Rapid Changes, the Example of the 2015 Piton De La Fournaise Eruptions. Journal of Volcanology and Geothermal Research , 344, 106-120. https://doi.org/10.1016/j.jvolgeores.2017.03.027
Komac, M., Holley, R., Mahapatra, P., van der Marel, H. and Bavec, M. (2014) Coupling of GPS/GNSS and Radar Interferometric Data for a 3D Surface Displacement Monitoring of Landslides. Landslides , 12, 241-257. https://doi.org/10.1007/s10346-014-0482-0
Zhang, S., Chen, B., Gong, H., Lei, K., Shi, M. and Zhou, C. (2021) Three-Dimensional Surface Displacement of the Eastern Beijing Plain, China, Using Ascending and Descending Sentinel-1a/b Images and Leveling Data. Remote Sensing , 13, Article No. 2809. https://doi.org/10.3390/rs13142809
Furst, S.L., Doucet, S., Vernant, P., Champollion, C. and Carme, J. (2021) Monitoring Surface Deformation of Deep Salt Mining in Vauvert (France), Combining InSAR and Leveling Data for Multi-Source Inversion. Solid Earth , 12, 15-34. https://doi.org/10.5194/se-12-15-2021
Ruppert, D. and Wand, M.P. (1994) Multivariate Locally Weighted Least Squares Regression. The Annals of Statistics , 22, 1346-1370. https://doi.org/10.1214/aos/1176325632
Kumar, V., Venkataramana, G. and Høgda, K.A. (2011) Glacier Surface Velocity Estimation Using SAR Interferometry Technique Applying Ascending and Descending Passes in Himalayas. International Journal of Applied Earth Observation and Geoinformation , 13, 545-551. https://doi.org/10.1016/j.jag.2011.02.004
Fan, H., Wang, L., Wen, B. and Du, S. (2021) A New Model for Three-Dimensional Deformation Extraction with Single-Track InSAR Based on Mining Subsidence Characteristics. International Journal of Applied Earth Observation and Geoinformation , 94, Article ID: 102223. https://doi.org/10.1016/j.jag.2020.102223
Chen, B., Li, Z., Yu, C., Fairbairn, D., Kang, J., Hu, J., et al . (2020) Three-Dimensional Time-Varying Large Surface Displacements in Coal Exploiting Areas Revealed through Integration of SAR Pixel Offset Measurements and Mining Subsidence Model. Remote Sensing of Environment , 240, Article ID: 111663. https://doi.org/10.1016/j.rse.2020.111663
Wang, Y., Yang, Z., Li, Z., Zhu, J. and Wu, L. (2020) Fusing Adjacent-Track InSAR Datasets to Densify the Temporal Resolution of Time-Series 3-D Displacement Estimation over Mining Areas with a Prior Deformation Model and a Generalized Weighting Least-Squares Method. Journal of Geodesy , 94, Article No. 47. https://doi.org/10.1007/s00190-020-01374-8
Chang, Z., Yu, W., Wang, W., Zhang, J., Liu, X. and Zhu, J. (2017) An Approach for Accurately Retrieving the Vertical Deformation Component from Two-Track InSAR Measurements. International Journal of Remote Sensing , 38, 1702-1719. https://doi.org/10.1080/01431161.2017.1285448
Chang, Z., Wang, Y., Qian, S., Zhu, J., Wang, W., Liu, X., et al . (2020) An Approach for Retrieving Complete Three-Dimensional Ground Displacement Components from Two Parallel-Track InSAR Measurements. Journal of Geodesy , 94, Article No. 111. https://doi.org/10.1007/s00190-020-01425-0
Yang, Z., Zhu, J., Xie, J., Li, Z., Wu, L. and Ma, Z. (2022) Resolving 3-D Mining Displacements from Multi-Track InSAR by Incorporating with a Prior Model: The Dynamic Changes and Adaptive Estimation of the Model Parameters. IEEE Transactions on Geoscience and Remote Sensing , 60, 1-10. https://doi.org/10.1109/tgrs.2021.3093058
Hu, J., Liu, J., Li, Z., Zhu, J., Wu, L., Sun, Q., et al . (2021) Estimating Three-Dimensional Coseismic Deformations with the SM-VCE Method Based on Heterogeneous SAR Observations: Selection of Homogeneous Points and Analysis of Observation Combinations. Remote Sensing of Environment , 255, Article ID: 112298. https://doi.org/10.1016/j.rse.2021.112298
Liu, J., Hu, J., Xu, W., Li, Z., Zhu, J., Ding, X., et al . (2019) Complete Three‐Dimensional Coseismic Deformation Field of the 2016 Central Tottori Earthquake by Integrating Left‐ and Right‐Looking InSAR Observations with the Improved SM‐VCE Method. Journal of Geophysical Research : Solid Earth , 124, 12099-12115. https://doi.org/10.1029/2018jb017159
Zheng, W., Hu, J., Liu, J., Sun, Q., Li, Z., Zhu, J., et al . (2021) Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic. Remote Sensing , 13, Article No. 643. https://doi.org/10.3390/rs13040643
Liu, J., Hu, J., Li, Z., Ma, Z., Shi, J., Xu, W., et al . (2022) Three-Dimensional Surface Displacements of the 8 January 2022 Mw6.7 Menyuan Earthquake, China from Sentinel-1 and ALOS-2 SAR Observations. Remote Sensing , 14, Article No. 1404. https://doi.org/10.3390/rs14061404
Liu, J., Hu, J., Bürgmann, R., Li, Z., Sun, Q. and Ma, Z. (2021) A Strain‐Model Based In-SAR Time Series Method and Its Application to the Geysers Geothermal Field, California. Journal of Geophysical Research : Solid Earth , 126, e2021JB021939. https://doi.org/10.1029/2021jb021939
Zhang, R. (2012) Modeling and Deformation Estimating with Multi-Platform Persistent Scatterer Radar Interferometry Based on Multi-Level Networking. Vol. 123, Southwest Jiaotong University.
Vaníček, P., Grafarend, E.W. and Berber, M. (2007) Short Note: Strain Invariants. Journal of Geodesy , 82, 263-268. https://doi.org/10.1007/s00190-007-0175-8
Liu, J., Hu, J., Li, Z., Zhu, J., Sun, Q. and Gan, J. (2018) A Method for Measuring 3-D Surface Deformations with InSAR Based on Strain Model and Variance Component Estimation. IEEE Transactions on Geoscience and Remote Sensing , 56, 239-250. https://doi.org/10.1109/tgrs.2017.2745576
Jolivet, R., Lasserre, C., Doin, M.-P., Guillaso, S., Peltzer, G., Dailu, R., et al . (2012) Shallow Creep on the Haiyuan Fault (Gansu, China) Revealed by SAR Interferometry. Journal of Geophysical Research : Solid Earth , 117, B06401. https://doi.org/10.1029/2011jb008732
Jung, H.-S., Won, J.-S. and Kim, S.-W. (2009) An Improvement of the Performance of Multiple-Aperture SAR Interferometry (Mai). IEEE Transactions on Geoscience and Remote Sensing , 47, 2859-2869. https://doi.org/10.1109/tgrs.2009.2016554
Yi, Z., Wang, H., Duan, G. and Wang, Z. (2020) An Airborne LiDAR Building-Extraction Method Based on the Naive Bayes-RANSAC Method for Proportional Segmentation of Quantitative Features. Journal of the Indian Society of Remote Sensing , 49, 393-404. https://doi.org/10.1007/s12524-020-01222-4
Wang, X., Liu, G., Yu, B., Dai, K., Zhang, R., Ma, D., et al . (2015) An Integrated Method Based on DInSAR, MAI and Displacement Gradient Tensor for Mapping the 3D Coseismic Deformation Field Related to the 2011 Tarlay Earthquake (Myanmar). Remote Sensing of Environment , 170, 388-404. https://doi.org/10.1016/j.rse.2015.09.024
Guglielmino, F., Nunnari, G., Puglisi, G. and Spata, A. (2011) Simultaneous and Integrated Strain Tensor Estimation from Geodetic and Satellite Deformation Measurements to Obtain Three-Dimensional Displacement Maps. IEEE Transactions on Geoscience and Remote Sensing , 49, 1815-1826. https://doi.org/10.1109/tgrs.2010.2103078
Muller, C., del Potro, R., Biggs, J., Gottsmann, J., Ebmeier, S.K., Guillaume, S., et al . (2014) Integrated Velocity Field from Ground and Satellite Geodetic Techniques: Application to Arenal Volcano. Geophysical Journal International , 200, 863-879. https://doi.org/10.1093/gji/ggu444
Cigna, F., Esquivel Ramírez, R. and Tapete, D. (2021) Accuracy of Sentinel-1 PSI and SBAS InSAR Displacement Velocities against GNSS and Geodetic Leveling Monitoring Data. Remote Sensing , 13, Article No. 4800. https://doi.org/10.3390/rs13234800
Wright, T.J., Parsons, B.E. and Lu, Z. (2004) Toward Mapping Surface Deformation in Three Dimensions Using In-SAR. Geophysical Research Letters , 31, L01607. https://doi.org/10.1029/2003gl018827
Ji, P., Lv, X. and Wang, R. (2022) Deriving 3-D Surface Deformation Time Series with Strain Model and Kalman Filter from GNSS and InSAR Data. Remote Sensing , 14, Article No. 2816. https://doi.org/10.3390/rs14122816
Liu, J., Hu, J., Li, Z., Sun, Q., Ma, Z., Zhu, J., et al . (2022) Dynamic Estimation of Multi-Dimensional Deformation Time Series from InSAR Based on Kalman Filter and Strain Model. IEEE Transactions on Geoscience and Remote Sensing , 60, 1-16. https://doi.org/10.1109/tgrs.2021.3125574
Samsonov, S. and d’Oreye, N. (2012) Multidimensional Time-Series Analysis of Ground Deformation from Multiple InSAR Data Sets Applied to Virunga Volcanic Province. Geophysical Journal International , 191, 1095-1108.
Oliver, M.A. and Webster, R. (1990) Kriging: A Method of Interpolation for Geographical Information Systems. International Journal of Geographical Information Systems , 4, 313-332. https://doi.org/10.1080/02693799008941549