Advanced Search
  • Included in CSCD
  • Chinese Core Journals
  • Included in WJCI Report
  • Included in Scopus, CA, DOAJ, EBSCO, JST
  • The Key Magazine of China Technology
Volume 44 Issue 3
Jun.  2025
Turn off MathJax
Article Contents
Article Navigation >  CARSOLOGICA SINICA  > 2025  >  44(3): 621-631, 644
YANG Chen, JIN Yuan, DENG Fei, SHI Xuguo. Monitoring of surface deformation and its spatiotemporal characterization in Tongling City of Anhui Province based on time-series InSAR of Sentinel-1 data[J]. CARSOLOGICA SINICA, 2025, 44(3): 621-631, 644. doi: 10.11932/karst20250310
Citation: YANG Chen, JIN Yuan, DENG Fei, SHI Xuguo. Monitoring of surface deformation and its spatiotemporal characterization in Tongling City of Anhui Province based on time-series InSAR of Sentinel-1 data[J]. CARSOLOGICA SINICA, 2025, 44(3): 621-631, 644. doi: 10.11932/karst20250310
shu

Monitoring of surface deformation and its spatiotemporal characterization in Tongling City of Anhui Province based on time-series InSAR of Sentinel-1 data

doi: 10.11932/karst20250310
  • 1.

    Institute of karst geology, CAGS/ Key Laboratory of Karst Dynamics, MNR & GZAR, Guilin, Guangxi 541004, China

  • 2.

    Pingguo Guangxi, Karst Ecosystem, National Observation and Research Station, Pingguo, Guangxi 531406, China

  • 3.

    School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei 430078, China

  • 4.

    Bureau of Foshan Geological Survey, Guangdong Province, Foshan, Guangdong 528000, China

  • Received Date: 2023-04-27
  • Accepted Date: 2024-09-13
  • Rev Recd Date: 2024-02-20
    • Available Online: 2025-09-03
    Abstract
  • Tongling City, located in the south-central part of Anhui Province on the southern bank of the middle and lower reaches of the Yangtze River, lies within the hilly region of the riverine plain and experiences a subtropical humid monsoon climate. With a total area of 2,991.87 square kilometers, it is a crucial region within the Wanjiang Economic Belt. Renowned as the "Ancient Copper Capital of China", Tongling is abundant in natural resources, particularly minerals, including copper, sulfur, iron, gold, silver, coal, and limestone. As a significant mining area in China, there are currently 220 licensed mines in Tongling, which are extracting 30 million cubic meters of ore annually, with a total mining and processing output exceeding two billion yuan. The carbonate rock strata in Tongling are highly developed, with a cumulative thickness of over 1,500 m. These strata are primarily concentrated in the Middle-Upper Carboniferous to Lower Permian and Middle-Lower Triassic geological periods. Due to factors such as mining dewatering and groundwater pumping, Tongling has been vulnerable to geological hazards such as karst collapses.The sites with potential geological hazards are typically found in regions exhibiting clear signs of surface deformation. Real-time monitoring of surface deformation allows for comprehensive identification of the sites with potential geological hazards and timely early warnings. The simple monitoring methods, such as pile-embedding and painting to observe known hazard sites, have been employed; however, these techniques cannot capture large-scale subsidence data, making it difficult to detect and monitor unknown hazards. In recent years, Interferometric Synthetic Aperture Radar (InSAR) has been widely used as a large-scale, high-precision deformation monitoring tool. It offers several advantages over traditional methods, including all-weather capability, continuous operation, extensive spatial coverage, and high accuracy. With the development of time-series InSAR techniques like Persistent Scatterers InSAR (PSI) and Small Baseline InSAR (SBAS-InSAR), high-precision surface deformation monitoring using coherent pixels within InSAR data has become increasingly important in identifying and monitoring geological hazards.This study focuses on Tongguan District and Yi’an District in Tongling City, situated in the south-central part of Anhui Province, along the southern bank of the middle and lower reaches of the Yangtze River. The study area boasts extensive soluble rock distributions and rich mineral resources like gold, silver, copper, iron, and sulfur, with a mining history spanning over 3,500 years. Consequently, geological hazards like karst collapses and mining collapses are prevalent. Fig.1 marks 130 locations of historical karst collapse, primarily concentrated near Shizishan in Tongguan District. Fig.1a illustrates the terrain and karst development within the study area, while Fig.1b depicts the landform, characterized by higher terrain in the south and lower, flat terrain in the north (the Yangtze River alluvial plain, with elevations ranging from 6.5 to 20 m) and hilly terrain in the south (with significant topographic relief and elevations generally between 50 and 250 m, peaking at 493 meters at Tongguan Mountain).This study utilizes SBAS-InSAR technology to process Sentinel-1 data covering Tongling City, identifying local deformation zones from 2015 to 2021, including the Xinqiao Mining Area, Laoyaling, Bijia Mountain, and Liuguo Chemical Plant. The maximum deformation rate, observed in the Xinqiao Mining Area, is approximately 118 mm/yr. Analysis of these deformation zones indicates that the combined effects of karst geological conditions and human activities like mining have contributed to the observed deformation characteristics. Notably, deformation in the Laoyaling tailings pond is also influenced by rainfall. Our findings demonstrate that InSAR technology can be effectively employed for large-scale geological hazard identification and monitoring, providing vital information for disaster prevention and control. For areas with significant deformation, it is recommended to install corresponding ground monitoring measures to assess risks in detail. With the launch of China’s land exploration satellites and future satellite missions, abundant SAR satellite data will become available for more detailed analysis of deformation characteristics, enabling more precise monitoring and assessment of hazard sites. InSAR technology will play an increasingly critical role in disaster monitoring in this region.

     

    • FullText(HTML)
  • loading
    • References(20)
  • [1]
    汪庆玖, 叶小华, 孟艨, 罗娇, 吕传忠. 安徽省沿江地区典型岩溶塌陷区盖层-岩溶组合特征[J]. 中国岩溶, 2017, 36(6): 859-866.

    WANG Qingjiu, YE Xiaohua, MENG Meng, LUO Jiao, LYU Chuanzhong. Characteristics of caprock-karst combination in typical karst collapse area along the Yangtze River in Anhui Province[J]. Carsologica Sinica, 2017, 36(6): 859-866.
    [2]
    雷柱平, 许丹, 蒋艳娇, 等. 铜陵市幅H50E007016岩溶地面塌陷调查说明书[DS]. 全国地质资料馆, 2016. DOI: 10.35080/n01.c.148733.
    [3]
    雷柱平. 安徽省铜陵地区岩溶地面塌陷发育现状[J]. 安徽地质, 2018, 28(2): 131-135. doi: 10.3969/j.issn.1005-6157.2018.02.012

    LEI Zhuping. Current situation of the development of karst ground collapses In Tongling, Anhui province[J]. Geology of Anhui, 2018, 28(2): 131-135. doi: 10.3969/j.issn.1005-6157.2018.02.012
    [4]
    武奕立. 铜陵地区矿山地质灾害调查技术与方法应用[J]. 化工矿产地质, 2018, 40(2): 114-119. doi: 10.3969/j.issn.1006-5296.2018.02.009

    WU Yili. Technology and method application of mining geological disaster survey in Tongling area, Anhui[J]. Geology of Chemical Minerals, 2018, 40(2): 114-119. doi: 10.3969/j.issn.1006-5296.2018.02.009
    [5]
    汪璐. 铜陵市地质灾害特征及发育规律[J]. 现代矿业, 2022, 38(11): 22-26. doi: 10.3969/j.issn.1674-6082.2022.11.005

    WANG Lu. Characteristics and Development Regularity of Geological Disasters in Tongling City[J]. Modern Mining, 2022, 38(11): 22-26. doi: 10.3969/j.issn.1674-6082.2022.11.005
    [6]
    查甫生, 刘从民, 苏晶文, 吴长贵, 崔可锐. 铜陵市朝山地区岩溶塌陷形成条件与地面稳定性评价分析[J]. 地质论评, 2020, 66(1): 246-254.

    ZHA Pusheng, LIU Congmin, SU Jingwen, WU Changgui, CUI Kerui. Formation conditions of karst collapse and evaluation of ground stability in Chaoshan area of Tongling City[J]. Geological Review, 2020, 66(1): 246-254.
    [7]
    代志宏, 卢鹏, 张志芳, 汪晓龙, 许国, 董建明. 基于PS-InSAR技术的南宁地表沉降监测与分析[J]. 大地测量与地球动力学, 2021, 41(5): 491-496,519.

    DAI Zhihong, LU Peng, ZHANG Zhifang, WANG Xiaolong, XUGuo, DONG Jianming. Surface Subsidence Monitoring and Analysis of Nanning Based on PS-InSAR Technology[J]. Journal of Geodesy and Geodynamics, 2021, 41(5): 491-496,519.
    [8]
    铜陵市人民政府办公室. 铜陵市人民政府办公室关于印发铜陵市2021年度地质灾害防治方案的通知[EB]. https://www.ahtlyaq.gov.cn/zwgk/yaq_zczxdx/202112/t20211231_1740305.html.
    [9]
    杨辰, 邓飞, 史绪国. 利用2015-2019年Sentinel-1数据监测武汉白沙洲岩溶区地表沉降特征[J]. 中国岩溶2023,42(3): 558-564.

    YANG Chen, DENG Fei, SHI Xuguo. Monitoring subsidence characteristics of Baishazhou karst area in Wuhan with Sentinel-1 images from 2015 to 2019[J].Carsologica Sinica, 2023, 42(3):558-564.
    [10]
    Berardino P, Fornaro G, Lanari R. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2375-2383.
    [11]
    朱同同, 史绪国, 周超, 蒋厚军, 张路, 廖明生. 利用2016—2020年Sentinel-1数据监测与分析三峡库区树坪滑坡稳定性[J]. 武汉大学学报(信息科学版), 2021, 46(10): 1560-1568. doi: 10.13203/j.whugis20210247

    ZHU Tongtong, SHI Xuguo, ZHOU Chao, JIANG Houjun, ZHANG Lu, LIAO Mingsheng. Stability Monitoring and Analysis of the Shuping Landslide in the Three Gorges Area with Sentinel-1 Images from 2016 to 2020[J]. Geomatics and Information Science of Wuhan University, 2021, 46(10): 1560-1568. doi: 10.13203/j.whugis20210247
    [12]
    史绪国, 徐金虎, 蒋厚军, 张路, 廖明生. 时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新[J]. 地球科学, 2019, 44(12): 4284-4292.

    SHI Xuguo, XU Jinhu, JIANG Houjun, ZHANG Lu, LIAO Mingsheng. Slope Stability State Monitoring and Updating of the Outang Landslide, Three Gorges Area with Time Series InSAR Analysis[J]. Earth Science, 2019, 44(12): 4284-4292.
    [13]
    李闽, 王联军, 罗小利. 铜陵矿区矿山地质环境问题及治理对策[J]. 中国矿业, 2014, 23(5): 67-70. doi: 10.3969/j.issn.1004-4051.2014.05.017

    LI Min, WANG Lianjun, LUO Xiaoli. Mine geological environment problems and countermeasures in Tongling mining area[J]. China Mining Magazine, 2014, 23(5): 67-70. doi: 10.3969/j.issn.1004-4051.2014.05.017
    [14]
    Jiang Mi, Guarnieri Andrea Monti. Distributed Scatterer Interferometry With the Refinement of Spatiotemporal Coherence.[J]. IEEE Transactions on Geoscience & Remote Sensing, 2020, 58(6): 3977-3987.
    [15]
    史绪国, 张路, 许强, 赵宽耀, 董杰, 蒋厚军, 廖明生. 黄土台塬滑坡变形的时序InSAR监测分析[J]. 武汉大学学报(信息科学版), 2019, 44(7): 1027-1034. doi: 10.13203/j.whugis20190056

    SHI Xuguo, ZHANG Lu, XU Qiang, ZHAO Kuanyao, DONG Jie, JIANG Houjun, LIAO Mingsheng. Monitoring Slope Displacements of Loess Terrace Using Time Series InSAR Analysis Technique[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7): 1027-1034. doi: 10.13203/j.whugis20190056
    [16]
    Wang Kang, Yuri Fialko. Observations and Modeling of Coseismic and Postseismic Deformation Due To the 2015 Mw 7.8 Gorkha (Nepal) Earthquake[J]. Journal of Geophysical Research: Solid Earth, 2018, 123(1): 761-779 doi: 10.1002/2017JB014620
    [17]
    汪庆玖. 安徽铜陵新桥矿区岩溶塌陷监测与预警研究[D]. 武汉: 中国地质大学, 2013.
    [18]
    葛建. 铜陵化工集团新桥矿业有限公司新四房排土场优化改造研究[D]. 武汉: 武汉工程大学, 2017.
    [19]
    铜陵化工集团新桥矿业有限公司. 2020年度环境报告书[EB]. http://www.xqmcl.com/huanbaozixun/2021091316558gs2yx.html
    [20]
    徐洁, 钱柏青, 孔祥龙. 老鸦岭水库型尾矿库后期干滩面扬尘分析及防治措施[J]. 有色金属工程, 2013, 3(4): 45-48. doi: 10.3969/j.issn.2095-1744.2013.04.010
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF(10654.0KB)
    XML

    Article Metrics

    Article views (12) PDF downloads(1) Cited by()
    Proportional views
    Related

    Website Copyright © CARSOLOGICA SINICA 桂ICP备05009877号-1

    Sponsor: Chinese Academy of Geological Sciences Sponsored by: Institute of Karst Geology, Chinese Academy of Geological Sciences Address: No.50, Qixing Road, Guilin, Guangxi

    Post Code: 541004 Tel: 0773-5812949 7796657 Email: zgyr@mail.cgs.gov.cn; zgyrbjb@163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return