Postconstruction Deformation Characteristics of High-Fill Foundations of Kunming Changshui International Airport Using Time-Series InSAR Technology

被引:0
|
作者
Wen, Mingchun [1 ]
Yang, Mengshi [2 ,3 ]
Zhao, Xin [1 ]
Zhao, Zhifang [2 ,3 ]
机构
[1] Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming 650500, Peoples R China
[2] Yunnan Univ, Sch Earth Sci, Kunming 650500, Peoples R China
[3] Yunnan Int Joint Lab China Laos Bangladesh Myanmar, Kunming 650500, Peoples R China
关键词
Deformation; Airports; Monitoring; Filling; Time series analysis; Earth; Optical interferometry; DEM error correction; high-fill foundation; Mann-Kendall (MK) trend analysis; Pettitt mutation test; time-series InSAR analysis; APERTURE RADAR INTERFEROMETRY; TESTS; POWER;
D O I
10.1109/JSTARS.2023.3328321
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The Kunming Changshui International Airport was built on complex mountainous terrain with significant fluctuations in Southwest China. The site contains large areas of high fill susceptible to uneven ground deformation from filling material consolidation, dynamic loading from aircraft, and other factors. Thus, monitoring and analyzing the causes and characteristics of postconstruction deformation of high-fill foundations are crucial to the airport's safe operation. In this study, we obtained a total of 149 Sentinel-1A ascending SAR images from March 2017 to March 2022. We estimated the elevation error and corrected the topographic phase to mitigate the impact of large topographic fluctuations on monitoring. Then, we extracted ground subsidence results based on time-series InSAR technology. The results show that deformation mainly occurred in the high-fill areas during the monitoring period, whereas settlement was more pronounced when the fill height was over 30 m. The deformation rate is influenced by the height of the fill, ground reinforcement measures, and dynamic loading of aircraft. Using the Mann-Kendall trend analysis and Pettitt mutation test methods to detect temporal information from time-series points, we found that the time required for the foundation to reach a stable state after construction is not directly related to its residual subsidence. Other factors, such as construction measures also influence it.
引用
收藏
页码:206 / 218
页数:13
相关论文
共 48 条
  • [1] High-precision monitoring method for airport deformation based on time-series InSAR technology
    Zhang, Rui
    Zhang, Weiguang
    Huang, Wei
    Ma, Tao
    Wang, Qing
    Fang, Kexin
    Wang, Kangnan
    CONSTRUCTION AND BUILDING MATERIALS, 2023, 366
  • [2] Ground infrastructure monitoring in coastal areas using time-series inSAR technology: the case study of Pudong International Airport, Shanghai
    An, Bei
    Jiang, Yanan
    Wang, Changcheng
    Shen, Peng
    Song, Tianyi
    Hu, Chihao
    Liu, Kui
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 16 (01)
  • [3] Deformation Detection and Attribution Analysis of Urban Areas near Dianchi Lake in Kunming Using the Time-Series InSAR Technique
    Wang, Junyu
    Li, Menghua
    Yang, Mengshi
    Tang, Bo-Hui
    APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [4] Deformation Monitoring of Reservoirs and Dams Using Time-Series InSAR
    Xiao R.
    He X.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2019, 44 (09): : 1334 - 1341
  • [5] STUDY OF LANDSLIDE CHARACTERISTICS USING TIME-SERIES INSAR TECHNIQUE
    Yan, Yan
    Wang, Yong
    Zeng, Zhu
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 4885 - 4888
  • [6] Time-Series InSAR Deformation Monitoring of High Fill Characteristic Canal of South-North Water Diversion Project in China
    Liu, Hui
    Zhao, Wenfei
    Qin, Zhen
    Wang, Tiesheng
    Li, Geshuang
    Zhu, Mengyuan
    APPLIED SCIENCES-BASEL, 2023, 13 (11):
  • [7] Prediction of InSAR time-series deformation using deep convolutional neural networks
    Ma, Peifeng
    Zhang, Fan
    Lin, Hui
    REMOTE SENSING LETTERS, 2020, 11 (02) : 137 - 145
  • [8] Analysis and prediction of ground deformation in Yinxi Industrial Park based on time-series InSAR technology
    Hui Zhang
    Xinghai Dang
    Jianyun Zhao
    Ming Lu
    Environmental Monitoring and Assessment, 2024, 196
  • [9] Analysis and prediction of ground deformation in Yinxi Industrial Park based on time-series InSAR technology
    Zhang, Hui
    Dang, Xinghai
    Zhao, Jianyun
    Lu, Ming
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (04)
  • [10] Temporal and Spatial Analysis of Ground Deformation of Beijing Daxing International Airport before and after Operation Using Time Series InSAR
    Deng, Heming
    Zhang, Zhengjia
    Fan, Peng
    JOURNAL OF SENSORS, 2024, 2024