An investigation of Earth surface deformation by SBAS-InSAR analysis

被引:2
作者
Bidgoli, Reza Dehghani [1 ]
Esfahan, Ehsan Zandi [2 ]
Pirasteh-Anosheh, Hadi [3 ,4 ]
机构
[1] Univ Kashan, Fac Nat Resources & Earth Sci, Dept Nat Engn, Kashan 8731753153, Iran
[2] Agr Res Educ & Extens Org AREEO, Res Inst Forests & Rangelands, Rangeland Res Div, Tehran 1496813111, Iran
[3] AREEO, Natl Salin Res Ctr, Yazd 8917357676, Iran
[4] AREEO, Fars Agr & Nat Resources Res & Educ Ctr, Nat Resources Dept, Shiraz 7155863511, Iran
基金
美国国家科学基金会;
关键词
Aquifer; InSAR; Subsidence; Groundwater; Interferometer; LAND SUBSIDENCE; TIME-SERIES; GROUNDWATER EXPLOITATION; RADAR INTERFEROMETRY; SAR INTERFEROMETRY; BEIJING PLAIN; AREA; PERSISTENT; WITHDRAWAL;
D O I
10.1007/s12210-023-01219-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Land subsidence, whether in its gradual down-settling form, creeping ground fracturing, or sudden sinkholes, is considered one of Iran's most catastrophic environmental challenges. The present study employed interferometric synthetic-aperture radar (InSAR) to detect land displacement in Garmsar City. The output maps reveal significant subsidence at 30 cm year-1 rates. According to the correlated subsidence map and piezometer data, groundwater harvesting for urban, industrial, and agricultural uses is primarily responsible for subsidence. High dependence on underground water resources and the absence of surface water resources in Iran's central regions have led to a radical decline in groundwater heads. For this target, 17 frames of images during 2015-2019 with a small temporal-perpendicular baseline were allocated and analyzed using the small baseline subset (SBAS). After removing unnecessary phases and noise, phase shift due to land deformation was extracted and converted to surface displacement. The InSAR analysis revealed a maximum of 37 cm and at least 33 cm subsidence for the Garmsar plain, and the average annual subsidence is estimated to be 36 cm, which is very close to the subsidence rate of the Tehran and Varamin plains. High-subsidence areas were generally located in the northern part of the Garmsar Plain, and subsidence rates decreased in the Southeast. The temporal and regional relationships between groundwater data and subsidence suggest that the general pattern of subsidence in the Garmsar Plain is caused by groundwater overexploitation, leading to widespread surface deformation. Since Garmsar is close to the capital, water resources are under pressure. By managing water resources in this area, this phenomenon will be reduced.
引用
收藏
页码:213 / 221
页数:9
相关论文
共 50 条
  • [21] Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
    Chen, Yang
    Yu, Shengwen
    Tao, Qiuxiang
    Liu, Guolin
    Wang, Luyao
    Wang, Fengyun
    REMOTE SENSING, 2021, 13 (21)
  • [22] Wuhan Surface Subsidence Analysis in 2015-2016 Based on Sentinel-1A Data by SBAS-InSAR
    Zhou, Lv
    Guo, Jiming
    Hu, Jiyuan
    Li, Jiangwei
    Xu, Yongfeng
    Pan, Yuanjin
    Shi, Miao
    REMOTE SENSING, 2017, 9 (10)
  • [23] Ground Deformation of the Chongming East Shoal Reclamation Area in Shanghai Based on SBAS-InSAR and Laboratory Tests
    Yu, Qingbo
    Wang, Qing
    Yan, Xuexin
    Yang, Tianliang
    Song, Shengyuan
    Yao, Meng
    Zhou, Kai
    Huang, Xinlei
    REMOTE SENSING, 2020, 12 (06)
  • [24] Monitoring and Analysis of Surface Deformation in Mining Area Based on InSAR and GRACE
    Zheng, Meinan
    Deng, Kazhong
    Fan, Hongdong
    Du, Sen
    REMOTE SENSING, 2018, 10 (09)
  • [25] Assessing the Use of GACOS Products for SBAS-InSAR Deformation Monitoring: A Case in Southern California
    Wang, Qijie
    Yu, Wenyan
    Xu, Bing
    Wei, Guoguang
    SENSORS, 2019, 19 (18)
  • [26] Detection and analysis of potential landslides based on SBAS-InSAR technology in alpine canyon region
    Li, Yimin
    Feng, Xianjie
    Li, Yuanting
    Jiang, Wenxue
    Yu, Wenxuan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (04) : 6492 - 6510
  • [27] Monitoring and Analysis of Land Subsidence in Jiaozuo City (China) Based on SBAS-InSAR Technology
    Han, Yong
    Liu, Guangchun
    Liu, Jie
    Yang, Jun
    Xie, Xiangcheng
    Yan, Weitao
    Zhang, Wenzhi
    SUSTAINABILITY, 2023, 15 (15)
  • [28] A ConvLSTM Neural Network Model for Spatiotemporal Prediction of Mining Area Surface Deformation Based on SBAS-InSAR Monitoring Data
    Yao, Sheng
    He, Yi
    Zhang, Lifeng
    Yang, Wang
    Chen, Yi
    Sun, Qiang
    Zhao, Zhan'ao
    Cao, Shengpeng
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [29] 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
    Chen, Donghui
    Chen, Huie
    Zhang, Wen
    Cao, Chen
    Zhu, Kuanxing
    Yuan, Xiaoqing
    Du, Yanyan
    REMOTE SENSING, 2020, 12 (22) : 1 - 17
  • [30] Coal Mining Deformation Monitoring Using SBAS-InSAR and Offset Tracking: A Case Study of Yu County, China
    Chen, Yu
    Tong, Yunxiao
    Tan, Kun
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 6077 - 6087