Detection Ground Deformation Characteristics of Reclamation Land with Time-Series Interferometric Synthetic Aperture Radar in Tianjin Binhai New Area, China
Abstract
:1. Introduction
2. Study Area
3. Data and Methodology
3.1. Datasets
3.2. Methodology
4. Results and Disscussion
4.1. SBAS-InSAR Results and Validation
4.2. Land Reclamation Spatial Evolution at Tianjin Binhai New Area
4.3. Responsive Relationship between Reclamation Time and Surface Deformation
4.4. Relationship between Land-Use Types and Deformation
4.5. Disscussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Zhao, Q.; Pepe, A.; Gao, W.; Lu, Z.; Bonano, M.; He, M.; Wang, J.; Tang, X. A DInSAR Investigation of the Ground Settlement Time Evolution of Ocean-Reclaimed Lands in Shanghai. IEEE Sel. Top. Appl. Earth Obs. Remote Sens. 2015, 8, 1763–1781. [Google Scholar] [CrossRef]
- Pepe, A.; Bonano, M.; Zhao, Q.; Yang, T.; Wang, H. The use of C-/X-band time-gapped SAR data and geotechnical models for the study of Shanghai’s ocean-reclaimed lands through the SBAS-DInSAR technique. Remote Sens. 2016, 8, 911. [Google Scholar] [CrossRef]
- Wali, M.K. Practices and Problems of Land Reclamation in Western North America; University of North Dakota Press: Grand Forks, ND, USA, 1975. [Google Scholar]
- Douglas, I.; Lawson, N. Airport construction: Materials use and geomorphic change. J. Air Transp. Manag. 2003, 9, 177–185. [Google Scholar] [CrossRef]
- De Mulder, E.; Van Bruchem, A.; Claessen, F.; Hannink, G.; Hulsbergen, J.; Satijn, H. Environmental impact assessment on land reclamation projects in the Netherlands: A case history. Eng. Geol. 1994, 37, 15–23. [Google Scholar] [CrossRef]
- Breber, P.; Povilanskas, R.; Armaitiene, A. Recent evolution of fishery and land reclamation in curonian and lesina lagoons. Hydrobiologia 2008, 611, 105–114. [Google Scholar] [CrossRef]
- Kooir, H. Land subsidence due to compaction in the coastal area of The Netherlands: The role of lateral fluid flow and constraints from well-log data. Glob. Planet. Change 2000, 27, 207–222. [Google Scholar]
- Li, D.; Hou, X.; Song, Y.; Zhang, Y.; Wang, C. Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods. Appl. Sci. 2020, 10, 5514. [Google Scholar] [CrossRef]
- Gao, L. Engineering Problems and Countermeasures of Land Reclamation in Tianjin Nangang Industrial Zone; Tianjin University: Tianjin, China, 2015. [Google Scholar]
- Jiang, L.; Lin, H. Integrated analysis of SAR interferometric and geological data for investigating long-term reclamation settlement of Chek Lap Kok Airport, Hong Kong. Eng Geol. 2010, 110, 77–92. [Google Scholar] [CrossRef]
- Liu, X.; Zhao, C.; Zhang, Q.; Yang, C.; Zhang, J. Characterizing and monitoring ground settlement of marine reclamation land of Xiamen New Airport, China with Sentinel-1 SAR datasets. Remote Sens. 2019, 11, 585. [Google Scholar] [CrossRef]
- Yu, Q.; Wang, Q.; Yan, X.; Yang, T.; Song, S.; Yao, M.; Zhou, K.; Huang, X. Ground deformation of the Chongming East Shoal Reclamation Area in Shanghai based on SBAS-InSAR and laboratory tests. Remote Sens. 2020, 12, 1016. [Google Scholar] [CrossRef]
- Yang, M.; Yang, T.; Zhang, L.; Lin, J.; Qin, X.; Liao, M. Spatio-temporal characterization of a reclamation settlement in the Shanghai coastal area with time series analyses of X-, C-, and L-band SAR datasets. Remote Sens. 2018, 10, 329. [Google Scholar] [CrossRef]
- Zhou, L.; Shi, X.; Ren, C.; Huang, Y.; Zhu, Z. Monitoring of Land Subsidence in Shenzhen Reclamation Area Based on Sentinel-1A Interferometric Synthetic Aperture Radar. Sci. Technol. Eng. 2021, 21, 8765–8769. [Google Scholar]
- Chen, G.; Zhang, Y.; Zeng, R.; Yang, Z.; Chen, X.; Zhao, F.; Meng, X. Detection of land subsidence associated with land creation and rapid urbanization in the Chinese Loess Plateau using time series InSAR: A case study of Lanzhou New District. Remote Sens. 2018, 10, 270. [Google Scholar] [CrossRef]
- Zhang, Y.; Liu, Y.; Jin, M.; Jing, Y.; Liu, Y.; Liu, Y.; Chen, Y. Monitoring land subsidence in Wuhan city (China) using the SBAS-InSAR method with radarsat-2 imagery data. Remote Sens. 2019, 19, 743. [Google Scholar] [CrossRef] [PubMed]
- Jiang, Y.; Liao, M.; Wang, H.; Zhang, L.; Balz, T. Monitoring land subsidence in Wuhan city (China) using the SBAS-InSAR method with radarsat-2 imagery data. Sensors 2016, 8, 1021. [Google Scholar]
- Cai, F.; Su, X.; Liu, J.; Li, B.; Lei, G. Coastal erosion in China under the condition of global climate change and measures for its prevention. Prog. Nat. Sci. 2009, 19, 415–426. [Google Scholar] [CrossRef]
- Ma, J.; Zhou, Z.; Guo, Q.; Zhu, S.; Dai, Y.; Shen, Q. Spatial characterization of seawater intrusion in a coastal Aquifer of Northeast Liaodong Bay, China. Sustainability 2019, 11, 7013. [Google Scholar] [CrossRef]
- Dongmeia, H.; Currellc, M. Delineating multiple salinization processes in a coastal plain aquifer, northern China:Hydrochemical and isotopic evidence. Hydrol. Earth Syst Sci. 2018, 22, 3473–3491. [Google Scholar]
- Zhu, L.; Jiang, C.; Wang, Y.; Peng, Y.; Zhang, P. A risk assessment of water salinization during the initial impounding period of a proposed reservoir in Tianjin, China. Sustainability 2013, 15, 1743–1751. [Google Scholar] [CrossRef]
- Bai, L.; Jiang, L.; Wang, H.; Sun, Q. Spatiotemporal Characterization of Land Subsidence and Uplift (2009–2010) over Wuhan in Central China Revealed by TerraSAR-X InSAR Analysis. Remote Sens. 2016, 8, 350. [Google Scholar] [CrossRef]
- Liu, P.; Li, Q.; Li, Z.; Hoey, T.; Liu, G.; Wang, C.; Hu, Z.; Zhou, Z.; Singleton, A. Anatomy of Subsidence in Tianjin from Time Series InSAR. Remote Sens. 2016, 8, 45–49. [Google Scholar] [CrossRef]
- Chen, Y. Study on a Long Sequence of Groundwater Level Dynamic in Tianjin; China University of Geosciences (Beijing): Beijing, China, 2015. [Google Scholar]
- Wang, K.; Wang, W.; Li, Q.; Yu, M.; Li, P. Characteristics of changes of groundwater buried depth and influencing factors in Tianjin plain area over past 21 years. Water Resour. Prot. 2014, 30, 45–49. [Google Scholar]
- Guo, L.; Gong, H.; Li, X.; Zhu, L.; Lv, W.; Lyu, M. Analysis of land subsidence changes on the Beijing Plain from 2004 to 2015. Proc. Int. Assoc. Hydrol. Sci. 2020, 382, 291–296. [Google Scholar] [CrossRef]
- Ha, D.; Zheng, G.; Loaiciga, H.A.; Guo, W.; Zhou, H.; Chai, J. Long-term groundwater level changes and land subsidence in Tianjin, China. Acta Geotech. 2021, 16, 1303–1314. [Google Scholar] [CrossRef]
- Tang, W.; Zhan, W.; Jin, B.; Motagh, M.; Xu, Y. Spatial Variability of Relative Sea-Level Rise in Tianjin, China: Insight from InSAR, GPS, and Tide-Gauge Observations. Remote Sens. 2021, 14, 2621–2633. [Google Scholar] [CrossRef]
- Du, Q.; Li, G.; Chen, D.; Zhou, Y.; Qi, S.; Wu, G.; Chai, M.; Tang, L.; Jia, H.; Peng, W. SBAS-InSAR-Based Analysis of Surface Deformation in the Eastern Tianshan Mountains, China. Front. Earth Sci. 2021, 9, 729454. [Google Scholar] [CrossRef]
- Li, B.; Wang, Z.; An, J.; Zhou, C.; Ma, Y. Time-Series Analysis of Subsidence in Nanning, China, Based on Sentinel-1A Data by the SBAS InSAR Method. J. Photogramm. Remote. Sens. Geoinf. Sci. 2020, 88, 291–304. [Google Scholar] [CrossRef]
- Tao, Q.; Wang, F.; Guo, Z.; Hu, L.; Yang, C.; Liu, T. Accuracy verification and evaluation of small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) for monitoring mining subsidence. Int. J. Remote Sens. 2021, 54, 641–662. [Google Scholar] [CrossRef]
- Zhu, C.; Zhang, Y.; Zhang, J.; Zhang, L.; Long, S.; Wu, H. Recent subsidence in Tianjin, China: Observations from multi-looking TerraSAR-X InSAR from 2009 to 2013. Int. J. Remote Sens. 2019, 36, 5869–5886. [Google Scholar] [CrossRef]
- Liu, L.; Yuan, C. Analysis of ground subsidence in Tianjin Beijiang, Nanjiang and Dongjiang Port. J. Waterw. Harb. 2019, 40, 338–343. [Google Scholar]
- Hu, B.; Zhou, J.; Wang, J.; Chen, Z.; Wang, D.; Xu, S. Risk assessment of land subsidence at Tianjin coastal area in China. Environ. Earth Sci. 2009, 59, 269–276. [Google Scholar] [CrossRef]
- Liu, S.P.; Shi, B.; Gu, K.; Zhang, C.C.; Yang, J.L.; Zhang, S.; Yang, P. Land subsidence monitoring in sinking coastal areas using distributed fiber optic sensing: A case study. Nat. Hazards 2020, 103, 3043–3061. [Google Scholar] [CrossRef]
- Yang, A.W.; Liu, Q.; Li, Z.L. Experimental Study on the Effect of Inherent Anisotropy on Strength and Deformation of Soft Soil. J. Wuhan Univ. Technol. 2012, 34, 87–91. [Google Scholar]
- Li, X.Y.; Cheng, L.; Sha, H.L. Remote sensing analysis of tidal flat utilization characteristic of Tianjin Binhai New Area. Mar. Sci. Bull. 2021, 40, 379–386. [Google Scholar]
- Zhu, G.; Xu, X. Annual Processes of Land Reclamation from the Sea along the Northwest Coast of Bohai Bay during 1974 to 2010. Sci. Geogr. Sin. 2012, 32, 1006–1012. [Google Scholar]
- Xu, B.; Feng, G.; Li, Z.; Wang, Q.; Wang, C.; Xie, R. Coastal subsidence monitoring associated with land reclamation using the point target based SBAS-InSAR method: A case study of Shenzhen, China. Remote Sens. 2016, 8, 1006–1652. [Google Scholar] [CrossRef]
- Chen, Y.; Yu, S.; Tao, Q.; Liu, G.; Wang, L.; Wang, F. Accuracy verification and correction of D-InSAR and SBAS-InSAR in monitoring mining surface subsidenc. Remote Sens. 2021, 13, 4365. [Google Scholar] [CrossRef]
- Yao, J.; Yao, X.; Liu, X. Landslide detection and mapping based on SBAS-InSAR and PS-InSAR: A case study in Gongjue County, Tibet, China. Remote Sens. 2022, 14, 4728. [Google Scholar] [CrossRef]
- Chen, D.; Chen, H.; Zhang, W.; Cao, C.; Zhu, K.; Yuan, X.; Du, Y. Characteristics of the residual surface deformation of multiple abandoned mined-out areas based on a field investigation and SBAS-InSAR: A case study in Jilin, China. Remote Sens. 2020, 12, 3752. [Google Scholar] [CrossRef]
- Festa, D.; Bonano, M.; Casagli, N.; Confuorto, P.; De Luca, C.; Del Soldato, M.; Casu, F. Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study. ISPRS J. Photogramm. Remote. Sens. 2022, 189, 1–22. [Google Scholar] [CrossRef]
- Wu, Q.; Jia, C.; Chen, S.; Li, H. SBAS-InSAR based deformation detection of urban land, created from mega-scale mountain excavating and valley filling in the Loess Plateau: The case study of Yan’an City. Remote Sens. 2019, 11, 1673. [Google Scholar] [CrossRef]
- Costantini, M. A novel phase unwrapping method based on network programming. IEEE Trans. Geosci. Remote. 1998, 36, 813–821. [Google Scholar] [CrossRef]
- Zhang, Y.; Meng, X.; Jordan, C.; Novellino, A.; Dijkstra, T.; Chen, G. Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series. Remote Sens. 2018, 15, 1299–1315. [Google Scholar] [CrossRef]
- Zhao, X.; Wang, L.; Ma, Y.; Wang, J.; Yang, X.; Yang, X.; Xing, J.; Jin, B. Monitoring and analysis of surface deformation in land reclamation area based on SBAS-InSAR technology: Take Tianjin port for example. Mar. Sci. Bull. 2022, 2, 17–30. [Google Scholar]
- Hu, R.L.; Wang, S.J.; Lee, C.F.; Li, M.L. Characteristics and trends of land subsidence in Tanggu, Tianjin, China. Bull. Eng. Geol. Environ. 2002, 61, 213–225. [Google Scholar]
- Zhang, T.; Shen, W.B.; Wu, W.; Zhang, B.; Pan, Y. Recent surface deformation in the Tianjin area revealed by Sentinel-1A data. Remote Sens. 2019, 11, 130. [Google Scholar] [CrossRef]
- Li, J.; Tang, H.; Rao, W.L.; Zhang, L.; Sun, W.K. Influence of South-to-North Water Transfer Project on the changes of terrestrial water storage in North China Plain. J. Univ. Chin. Acad. Sci. 2020, 37, 775–783. [Google Scholar]
- Yu, W.; Gong, H.; Chen, B.; Zhou, C.; Zhang, Q. Combined GRACE and MT-InSAR to Assess the Relationship between Groundwater Storage Change and Land Subsidence in the Beijing-Tianjin-Hebei Region. Remote Sens. 2021, 13, 3773. [Google Scholar] [CrossRef]
- Samieie-Esfahany, S.; Hanssen, R.F.; van Thienen-Visser, K.; Muntendam-Bos, A. On the effect of horizontal deformation on InSAR subsidence estimates. ESA-SP 2010, 39, 677. [Google Scholar]
Parameters | Description |
---|---|
Orbit direction | Ascending |
Track | 69 |
Band | C |
Wavelength (cm) | 5.6 |
Incidence angle (°) | 36.14 |
Azimuth and Range resolution (m) | 5 × 20 |
Temporal coverage | 3 January 2017–27 December 2022 |
Revisit time (day) | 12 |
Number of images | 159 |
Image | Temporal Coverage (Year) | Number of Images | Resolution (m) | Purpose |
---|---|---|---|---|
Landsat-5 | 1995–2011 | 35 | 30 | Coastline Change Identification |
Landsat-7 | 2012 | 5 | 30 | Coastline Change Identification |
Landsat-8 | 2013–2022 | 29 | 30 | Coastline Change Identification |
GF-1 | 2019–2022 | 23 | 2 | Land-Use Type Identification |
GF-2 | 2018–2019 | 4 | 0.8 | Land-Use Type Identification |
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Chen, Y.; Yan, F.; Chen, J.; Fan, X. Detection Ground Deformation Characteristics of Reclamation Land with Time-Series Interferometric Synthetic Aperture Radar in Tianjin Binhai New Area, China. Remote Sens. 2023, 15, 5303. https://doi.org/10.3390/rs15225303
Chen Y, Yan F, Chen J, Fan X. Detection Ground Deformation Characteristics of Reclamation Land with Time-Series Interferometric Synthetic Aperture Radar in Tianjin Binhai New Area, China. Remote Sensing. 2023; 15(22):5303. https://doi.org/10.3390/rs15225303
Chicago/Turabian StyleChen, Yanan, Fuli Yan, Jian Chen, and Xiangtao Fan. 2023. "Detection Ground Deformation Characteristics of Reclamation Land with Time-Series Interferometric Synthetic Aperture Radar in Tianjin Binhai New Area, China" Remote Sensing 15, no. 22: 5303. https://doi.org/10.3390/rs15225303
APA StyleChen, Y., Yan, F., Chen, J., & Fan, X. (2023). Detection Ground Deformation Characteristics of Reclamation Land with Time-Series Interferometric Synthetic Aperture Radar in Tianjin Binhai New Area, China. Remote Sensing, 15(22), 5303. https://doi.org/10.3390/rs15225303