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
[41]   Surface Subsidence over a Coastal City Using SBAS-InSAR with Sentinel-1A Data: A Case of Nansha District, China [J].
Yu, Huanghao ;
Li, Binquan ;
Xiao, Yang ;
Sun, Jinyan ;
Chen, Cheng ;
Jin, Gaoyang ;
Liu, Huanyu .
REMOTE SENSING, 2024, 16 (01)
[42]   Non-differential water vapor estimation from SBAS-InSAR [J].
Duan, Meng ;
Xu, Bing ;
Li, Zhiwei ;
Cao, Yunmeng ;
Hu, Jun ;
Xu, Wenbin ;
Wei, Jianchao ;
Feng, Guangcai .
JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2020, 204
[43]   Identification of Landslides in Mountainous Area with the Combination of SBAS-InSAR and Yolo Model [J].
Guo, Haojia ;
Yi, Bangjin ;
Yao, Qianxiang ;
Gao, Peng ;
Li, Hui ;
Sun, Jixing ;
Zhong, Cheng .
SENSORS, 2022, 22 (16)
[44]   Monitoring of surface deformation in mining area integrating SBAS InSAR and Logistic Function [J].
Wang, Fengyun ;
Tao, Qiuxiang ;
Liu, Guolin ;
Chen, Yang ;
Han, Yu ;
Guo, Zaijie ;
Liu, Xiaoshuai .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (12)
[45]   Analysis of the Deformation Behavior and Sinkhole Risk in Kerdabad, Iran Using the PS-InSAR Method [J].
Azar, Mahdi Khoshlahjeh ;
Hamedpour, Amir ;
Maghsoudi, Yasser ;
Perissin, Daniele .
REMOTE SENSING, 2021, 13 (14)
[46]   Land Subsidence Monitoring by SBAS-InSAR Technique with the Conversion to Horizontal-Vertical Displacements in Semarang [J].
Takami, Jumpei .
2021 7TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2021,
[47]   A New Method to Predict Gully Head Erosion in the Loess Plateau of China Based on SBAS-InSAR [J].
Jiang, Chengcheng ;
Fan, Wen ;
Yu, Ningyu ;
Nan, Yalin .
REMOTE SENSING, 2021, 13 (03)
[48]   Research on Land-Based Wind/Solar Power Station Site Deformation Monitoring Based on SBAS-InSAR Technology [J].
Guo J. ;
Liu L. ;
Zheng Y. ;
Cai W. ;
Wang Z. ;
Wang S. .
EAI Endorsed Transactions on Energy Web, 2024, 11 :1-10
[49]   Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations [J].
Wang, Shunyao ;
Zhang, Guo ;
Chen, Zhenwei ;
Cui, Hao ;
Zheng, Yuzhi ;
Xu, Zixing ;
Li, Qihan .
GISCIENCE & REMOTE SENSING, 2022, 59 (01) :295-309
[50]   THE XIONG'AN NEW AREA DEFORMATION MONITORING USING SENTINEL-1 SAR DATA BASED ON SBAS-INSAR TECHNIQUE [J].
Wang, Xiaoqing ;
Zhang, Peng ;
Wu, Junli ;
Sun, Zhanyi ;
Zhang, Qinglan .
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, 2022, 43-B3 :1385-1391