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Monitoring reclaimed lands subsidence in Hong Kong with InSAR technique by persistent and distributed scatterers

Author

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  • Mingzhou Wang

    (Wuhan University)

  • Tao Li

    (Wuhan University)

  • Liming Jiang

    (Chinese Academy of Sciences)

Abstract

This paper introduced an advanced SBAS algorithm to investigate the subsidence time-series of reclaimed lands. A new method for fusing persistent and distributed scatterers in time-series images was presented in this algorithm. Moreover, nonlocal filter based on DS was employed for the interferometric phase which improved results quality with high spatial resolution. The reclaimed lands near Hong Kong Science Park and Hong Kong Disneyland (HKD) were selected for the investigation by high-resolution TerraSAR-X images. The reclaimed lands area was classified into three types labeled as undeveloped area, developing area and developed area. The results showed that: Undeveloped area had significant subsidence due to soft soil consolidation, especially in HKD’s reclaimed lands with deformation rate up to −459 mm/year; developing and developed area also had subsidence phenomenon due to building pressure caused by mass constructions of infrastructure. In particular, in the preliminary stage after construction, there was a dramatic subsidence trend, which easily threatened the security and stability of infrastructure facilities such as underground pipes and drainage system.

Suggested Citation

  • Mingzhou Wang & Tao Li & Liming Jiang, 2016. "Monitoring reclaimed lands subsidence in Hong Kong with InSAR technique by persistent and distributed scatterers," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 531-543, May.
    • Handle: RePEc:spr:nathaz:v:82:y:2016:i:1:d:10.1007_s11069-016-2196-1
    DOI: 10.1007/s11069-016-2196-1
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    References listed on IDEAS

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    1. Minsi Ao & Changcheng Wang & Rongan Xie & Xingqing Zhang & Jun Hu & Yanan Du & Zhiwei Li & Jianjun Zhu & Wujiao Dai & Cuilin Kuang, 2015. "Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2947-2964, February.
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    Cited by:

    1. Yongyong Li & Huili Gong & Lin Zhu & Xiaojuan Li & Rong Wang & Gaoxuan Guo, 2017. "Characterizing land displacement in complex hydrogeological and geological settings: a case study in the Beijing Plain, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 323-343, May.
    2. Bangyan Zhu & Zhengwei Chu & Fei Shen & Wei Tang & Bin Wang & Xiao Wang, 2019. "Land subsidence (2004–2013) in Changzhou in Central Yangtze River delta revealed by MT-InSAR," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(1), pages 379-394, May.

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