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北京地面沉降的时空异质性

Spatiotemporal heterogeneity of land subsidence in Beijing.

作者信息

Duan Guangyao, Gong Huili, Chen Beibei, Li Xiaojuan, Pan Xingyao, Shi Min, Zhang Hang

机构信息

Key Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, 100048, China.

College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China.

出版信息

Sci Rep. 2022 Sep 6;12(1):15120. doi: 10.1038/s41598-022-16674-6.

DOI:10.1038/s41598-022-16674-6
PMID:36068247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9448723/
Abstract

Land subsidence induced by groundwater level decline has spatiotemporal variations. Taking the Interferometric Synthetic Aperture Radar (InSAR) results and the groundwater subsidence data acquired by the monitoring stations as the source material, this paper aims to reveal the spatiotemporal heterogeneity of groundwater-land subsidence in Beijing plain by using the Wind Rose Map (WRM) method and the Change Point Analysis (CPA) method. The WRM results show that the amount and variation in subsidence differs in different directions. This method detected the formation of new subsidence centers and the slowdown of land subsidence in 2008. The CPA results show that obvious changes are detected in subsidence development at the Wangsiying (WSY), Tianzhu (TZ) and Wangjing (WJ) stations. However, there is a relatively stable trend of groundwater decline and land subsidence at the Tianzhu (TZ) station. The stages of land subsidence development show a significant response to groundwater. Moreover, changes in land subsidence also show delayed response behind the changes in groundwater level. The time-lag could be affected by the variation in amplitude of the groundwater level.

摘要

地下水位下降引起的地面沉降具有时空变化特征。本文以干涉合成孔径雷达（InSAR）测量结果和监测站获取的地下水沉降数据为源资料，旨在利用风向玫瑰图（WRM）法和变点分析法（CPA）揭示北京平原地区地下水-地面沉降的时空非均质性。WRM结果表明，不同方向的沉降量和变化情况存在差异。该方法检测到2008年新沉降中心的形成以及地面沉降的减缓。CPA结果表明，在王四营（WSY）、天竺（TZ）和望京（WJ）站点的沉降发展过程中检测到明显变化。然而，天竺（TZ）站点的地下水位下降和地面沉降趋势相对稳定。地面沉降发展阶段对地下水有显著响应。此外，地面沉降的变化也滞后于地下水位的变化。时间滞后可能受地下水位变化幅度的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/c28faeaf453b/41598_2022_16674_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/c28faeaf453b/41598_2022_16674_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/ee52ca7c4418/41598_2022_16674_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/20022e93dcca/41598_2022_16674_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/161614d15633/41598_2022_16674_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/6edc0faa8500/41598_2022_16674_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/a1769c222464/41598_2022_16674_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/ed5d15f09003/41598_2022_16674_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/c9bd8eefaa8a/41598_2022_16674_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d7a/9448723/c28faeaf453b/41598_2022_16674_Fig10_HTML.jpg

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本文引用的文献

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Sci Total Environ. 2020 Sep 15;735:139111. doi: 10.1016/j.scitotenv.2020.139111. Epub 2020 May 4.
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Sensors (Basel). 2020 Mar 19;20(6):1720. doi: 10.3390/s20061720.
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Applying probability-weighted incubation period distributions to traditional wind rose methodology to improve public health investigations of Legionnaires' disease outbreaks.
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Epidemiol Infect. 2020 Feb 19;148:e33. doi: 10.1017/S0950268820000230.
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