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Evaluating Potential Ground Subsidence Geo-Hazard of Xiamen Xiang’an New Airport on Reclaimed Land by SAR Interferometry

Author

Listed:
  • Guanchen Zhuo

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Keren Dai

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
    State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China)

  • Huina Huang

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Shengpeng Li

    (College of Public Administration, Fujian Agriculture and Forestry University, Fuzhou 350028, China)

  • Xianlin Shi

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Ye Feng

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Tao Li

    (Global Navigation Satellite System Research Center, Wuhan University, Wuhan 430079, China)

  • Xiujun Dong

    (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China)

  • Jin Deng

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

Abstract

The land reclaimed from the seaside may have a long-term subsidence trend, which poses a potential geohazard in the future land use. Xiamen Xiang’an New Airport (XXNA) is built on reclaimed land since 2016. Based on the spaceborne Sentinel-1 data between January 2018 to April 2019 and the time series interferometric synthetic aperture radar (InSAR) technique, this paper analyzed the reclaimed land subsidence evolution at XXNA in this period. InSAR measurements show that XXNA is suffering from severe subsidence, mainly in three regions because of the earth and sand compacting. By analyzing the spatial subsidence characterizations of the main subsiding areas combined with historical land reclamation and future land use planning, we find the potential threat of subsidence to future land use. Correlation between subsidence and the period of reclamation was found, indicating that the consolidation and compression in dredger fill is the main cause of subsidence. By combining subsidence monitoring results with different land use types and adopting the Expectation (Ex) and Entropy (En) methods, we analyzed the key area with potential subsidence geo-hazard. This work shows that with SAR interferometry, it is possible to find the large area ground subsidence in the airport reclaimed area. The areas with potential subsidence geo-hazards are consistent with the deep reclaimed earth, which means high subsidence risk in the future.

Suggested Citation

  • Guanchen Zhuo & Keren Dai & Huina Huang & Shengpeng Li & Xianlin Shi & Ye Feng & Tao Li & Xiujun Dong & Jin Deng, 2020. "Evaluating Potential Ground Subsidence Geo-Hazard of Xiamen Xiang’an New Airport on Reclaimed Land by SAR Interferometry," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6991-:d:405009
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    References listed on IDEAS

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    1. Chia-Sheng Hsieh & Tian-Yuan Shih & Jyr-Ching Hu & Hsin Tung & Mong-Han Huang & Jacques Angelier, 2011. "Using differential SAR interferometry to map land subsidence: a case study in the Pingtung Plain of SW Taiwan," 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. 58(3), pages 1311-1332, September.
    2. J.R. Elliott & R.J. Walters & T.J. Wright, 2016. "The role of space-based observation in understanding and responding to active tectonics and earthquakes," Nature Communications, Nature, vol. 7(1), pages 1-16, December.
    3. Keren Dai & Xianlin Shi & Jisong Gou & Leyin Hu & Mi Chen & Liang Zhao & Xiujun Dong & Zhenhong Li, 2020. "Diagnosing Subsidence Geohazard at Beijing Capital International Airport, from High-Resolution SAR Interferometry," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
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    Cited by:

    1. Peilian Ran & Shaoda Li & Guanchen Zhuo & Xiao Wang & Mingjie Meng & Liang Liu & Youdong Chen & Huina Huang & Yu Ye & Xiangqi Lei, 2023. "Early Identification and Influencing Factors Analysis of Active Landslides in Mountainous Areas of Southwest China Using SBAS−InSAR," Sustainability, MDPI, vol. 15(5), pages 1-18, March.

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