Journal of Jilin University(Earth Science Edition) ›› 2024, Vol. 54 ›› Issue (4): 1326-1338.doi: 10.13278/j.cnki.jjuese.20230046

Previous Articles     Next Articles

Land Subsidence Characteristics and Impact in Chaoyang-Tongzhou Area of Beijing Plain Under New Hydrological Background

Han Hongshan 1, 2, 3, Zhu Lin 1, 2, 3, 4, 5, Guo Gaoxuan 6, Li Binghua 7, Lu Can 1, 2, 3   

  1. 1. College of Resource Environment and Tourism, Capital Normal University , Beijing 100048, China
    2. Laboratory Cultivation Base of Environment Process and Digital Simulation , Capital Normal University, Beijing 100048, China
    3. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
    4. Key Laboratory of Land Subsidence Mechanism, Prevention and Control (Capital Normal University)，
    Ministry of Education，Beijing 100048, China
    5. Hebei Cangzhou Groundwater and Land Subsidence National Observation and Research Station, Cangzhou 061000, Hebei, China
    6. Beijing Institute of Geo-Environment Monitoring, Beijing 100195, China 
    7. Beijing Water Science and Technology Institute, Beijing 100048, China
  • Received:2023-03-06 Online:2024-07-26 Published:2024-07-26
  • Supported by:
    the National Natural Science Foundation of China （42271082）

PDF (PC)

319

Abstract: Land subsidence is a prominent geological hazard in the Beijing area, posing a serious threat to the sustainable development of the economy, environment and society. This paper takes the Chaoyang-Tongzhou area, which is a severely subsiding region of the Beijing Plain, as the research object. Based on Sentinel-1 A/B satellite track data and using PS-InSAR (persistent scatters InSAR） technology, the characteristics of land subsidence in the study area from 2019 to 2021 was obtained. The dynamic time warping (DTW) algorithm was used to quantitatively analyze the response relationship between land subsidence and groundwater levels at different depths, and then the contribution rate of groundwater at different depths to subsidence was quantified. The results show as follows: 1) From 2019 to 2021, land subsidence in the Chaoyang-Tongzhou area developed continuously. The most severe subsidence areas with an annual subsidence rate exceeding 50 mm/a were mainly distributed in the east of Chaoyang and the north of Tongzhou, and the maximum subsidence rate of 91 mm/a. 2) The difference in regional distribution of compressible layer thickness in the Chaoyang-Tongzhou area provids favorable geological conditions for the occurrence and development of land subsidence. On the whole, the thickness of the compressible layer is positively proportional to the land subsidence rate. The thickness of compressible layer at the location of PS points with a land subsidence rate greater than 80 mm/a in the study area was greater than 180 m, mainly in areas with a compressible layer thickness of 200-220 m. 3) Land subsidence responds differently to groundwater level time series at different depths. The water level in the confined aquifer with a burial depth of 50-180 m has a relatively high response degree to land subsidence, with the groundwater level at depths of 92.00 m and 121.42 m showing the highest response degree to land subsidence time series, reflecting that the groundwater level changes at this depth are the main inducing factors for subsidence.

Key words: land subsidence, PS-InSAR, DTW, Chaoyang-Tongzhou area, groundwater level, influence factors；Beijing

CLC Number: 

  • P642.26
[1] Shu Longcang, Wei Shujing, Che Limuge, Wen Zhongqi, Liu Bo.

Quantification of Groundwater Response and Uncertainty Related to Ecological Water Conveyance in Xiliaohe Plain [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(2): 647-660.

[2] Liu Gang, Peng Yiqun, Xu Hao, Pei Jiangtao, Luo Zujiang.

Optimization Design of Land Subsidence Monitoring Network Based on Statistics [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(4): 1240-1255.

[3] Liu Bo , Li Shinong, Li Wei, Wang Wenpeng, Lu Chengpeng, Shu Longcang. Risk Assessment of Regional Land Subsidence Based on Raster Information Quantity Method： Case Study in Cangzhou City of Hebei Province [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(3): 919-929.
[4] Yan Baizhong, Gai Junbai, Wang Xinzhou, Zhan Xinkai, Ma Miaomiao. Characteristics of Groundwater Level Dynamic Evolution and Influence Factors in Mountain-Front Alluvial Plain of   Hutuo River in Shijiazhuang [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(6): 1880-1891.
[5] Luo Zujiang, Cheng Lei, Zhang Xingwang, Yu Dandan, Xu Chenghua. Simulation and Optimization of Dewatering Scheme for Suspended Impervious Curtain in Deep Foundation Pit#br# [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(6): 1946-1956.
[6] Meng Shihao, Cui Yali, Tian Fang, Luo Yong, Shi Honglei . Modeling of Groundwater Flow-Land Subsidence with Variable Hydraulic Conductivity Based on MODFLOW-SUB [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(2): 550-559.
[7] Pan Weiqiang, Zhang Liming, Cong Yu. Relationship Between Shaft Failure with Stress-Relief Groove and Groundwater Level in Thick Loose Strata [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(5): 1578-1586.
[8] Cheng Rui, Zhu Lin, Zhou Jiahui, Guo Gaoxuan, Guo Lin, Li Huijun, Chen Beibei. Spatio-Temporal Heterogeneity and Driving Factors of Land Subsidence in Middle-Lower Part of Chaobai River Alluvial Fan [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(4): 1182-1192.
[9] Yan Baizhong, Sun Jian, Wang Xinzhou, Han Na, Liu Bo. Multivariable LSTM Neural Network Model for Groundwater Levels Prediction [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(1): 208-216.
[10] Xu Junqiang, Ma Tao, Lu Yikai, Bai Weiming, Zhao Shuai. Land Subsidence Monitoring in North Henan Plain Based on SBAS-InSAR Technology [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(4): 1182-1191.
[11] Luo Zujiang, Ning Di, Du Jingjing, Lu Wei. Influence of Building Load and Groundwater Exploitation on Land Subsidence in Shengze,Wujiang [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(2): 514-525.
[12] Wang Jie, Gong Huili, Chen Beibei, Gao Mingliang, Zhou Chaofan, Liang Yue, Chen Wenfeng. Periodical Analysis of Land Subsidence in Beijing Plain Based on Morlet Wavelet Technology [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(3): 836-845.
[13] Zhou Chaofan, Gong Huili, Chen Beibei, Jia Xu, Zhu Feng, Guo Lin. Assessment to Ground Subsidence Traffic Load in Beijing Area Using Data Field Mode [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(5): 1511-1520.
[14] Fu Yanling, Luo Zujiang, Liao Xiang, Zhang Jianmang. A Three-Dimensional Full Coupling Model to Simulate and Predict Land Subsidence Caused by High-Rise Building [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(6): 1781-1789.
[15] Liu Bo, Xiao Changlai, Liang Xiujuan. Application of Combining SOM and RBF Neural Network Model for Groundwater Levels Prediction [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(1): 225-231.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] Wu Yuankun, Liu Chenglin, Yu Chunyong.. Main Controlling Factors and Accumulation Mode of Deep Oil in Shuangcheng Fault Depression of Songliao Basin[J]. Journal of Jilin University(Earth Science Edition), 2024, 54(5): 1443 -1456 .
[2] Ma Rong, Shi Jiansheng, Liu Jichao. Application of Artificial Endocrine Network Model in Studying of Hydrogeology Parameter[J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3): 914 -921 .
[3] Li Ning, Wang Chengwen. Formation and Evolution of Jiamusi-Mongolia Block and Contact Relationship of Late Paleozoic Strata in Northeast China and Adjacent Region[J]. Journal of Jilin University(Earth Science Edition), 2017, 47(5): 1331 -1340 .
[4] HU Da-qian, CHU Feng-you, YAO Jie. The Mineral Composition and Element Geochimestry of CoEnriched Crust from the YJA Sea Mount in the Central Pacific Ocean[J]. J4, 2006, 36(01): 32 -0037 .
[5] JIANG Xue, CHENG Ri-hui, YU Min-feng. Climate and Tectonic Controls on the Rift Stratigraphy:Analysis of Zscape Model and its Application in the BeianFaulting Depression of the Songliao Basin[J]. J4, 2006, 36(01): 54 -0059 .
[6] LI Chun-bai，ZHANG Xin-tao，LIU Li，REN Yan-guang,MENG Peng. The Thermal Fluid Activities and Their Modification on Volcaniclastic Rock in Budate Group-An Example from the Beier Sag of Hailaer Basin[J]. J4, 2006, 36(02): 221 -0226 .
[7] Meng Xiangang, Bo Wanju, Liu Zhiguang, LiuYong, Chang Liu, Li Chaozhu, Wang Ziping. Activity in the Middle East of Bayan Har Block with Lushan MS 7.0 Earthquake[J]. Journal of Jilin University(Earth Science Edition), 2014, 44(5): 1705 -1711 .
[8] Chen Huanqing, Liang Shuxian, Shu Zhirui, Deng Xiaojuan, Peng Shouchang. Characteristics of Conglomerate Reservoir Architecture of Alluvial Fan and Its Controlling Effects to Reservoir Development:Taking Alluvial Fan Reservoir in Some Area of Northwest Margin of Junggar Basin as an Example[J]. Journal of Jilin University(Earth Science Edition), 2015, 45(1): 13 -24 .
[9] JIA Dacheng, XING Lixin, PAN Jun, M. J. van Bergen, H. van Roermund. Geochemical Characteristics of the AluminumEnriched Spinels in Xenoliths from the Upper Mantle Shear Belt in Yitong，Northeastern China[J]. J4, 2006, 36(04): 497 -502 .
[10] XIE Zhong-lei, YANG Bai-ling, BAO Guo-zhang,DONG De-ming. Fractionation and Its Affecting Factors of Nickel in Tea Garden Soils[J]. J4, 2006, 36(04): 599 -604 .
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd