首页|南水北调中线焦作采空区地表沉降DS-InSAR监测与风险分析

南水北调中线焦作采空区地表沉降DS-InSAR监测与风险分析

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南水北调中线工程是优化水资源配置和促进区域协调发展的国家战略性工程,为及时发现和评估沿线煤炭开采沉陷对南水北调中线干渠的威胁,本文基于Sentinel-1A数据和分布式散射体合成孔径雷达干涉测量(DS-InSAR)技术,通过同质像元识别和相位优化将分布式目标融入时序InSAR处理,获取了焦作采空区2019年-2020年地表形变时空分布,在此基础上结合形变和距离要素构建了一种南水北调沿线形变风险评估指标,并依据指标实现了研究区形变风险分级.结果显示,焦作采空区内存在多个沉降盆地,其中最大沉降量达到180 mm,最大形变速率约为-125 mm/a;南水北调干渠沿线以无风险区和低风险区为主,伴随有少量中高风险区.研究表明南水北调中线干渠焦作段整体受开采沉降影响较小,但在张屯矿西北侧、白庄矿和中马村矿内存在较高形变风险区域,需要对其进行持续监测以预防潜在沉陷灾害.本文提出的基于形变信息的风险指标具有良好的指示性,能够为南水北调灾害风险评估提供科学依据.
Monitoring and risk analysis of surface subsidence in the Jiaozuo Goaf along the middle route of the South-to-North Water Diversion Project based on the DS-InSAR method
As a national strategic project,the middle route of the South-to-North Water Diversion Project(SNWDP)is important for optimizing water resource allocation and promoting regional coordinated development in China.Unfortunately,the main canal of the middle route traverses a mining area in Jiaozuo.The massive surface subsidence caused by goafs left by coal mining has destroyed surrounding infrastructure and led to national economic losses.Deformation monitoring of the Jiaozuo section along the middle route of the SNWDP must be performed,and the threat of mining subsidence to the main channel should be assessed.The land surface of the Jiaozao Goaf is mostly covered with farmland and bare soil.Thus,obtaining a sufficient number of high coherence measurement points via traditional time series InSAR(TS-InSAR)is difficult.Consequently,TS-InSAR,which integrates PS and DS data(DS-InSAR),was used in this study.The TS-InSAR method benefits from homogeneous identification given its two-sample T-hypotheses and interferometric phase optimization based on an"eigen-decomposition-based maximum likelihood estimator"(EMI).The integration can efficiently improve the gathering of the spatial distribution density of measurement points with the help of a large number of scattered points.Particularly for this research,the spatiotemporal distribution of surface deformation in the Jiaozuo Goaf region from 2019 to 2020 was obtained from 54 Sentinel-1A images.Then,on the basis of the deformation monitoring results,a risk assessment indicator of deformation along the SNWDP that considers deformation and distance factors was developed.The index calculation results indicate that the study area can be divided into four grades according to the threat level of surface deformation to the main channel of the middle route of the SNWDP.The results further revealed several subsidence basins in the Jiaozuo Goaf that are distributed along the main canal of the middle route of the SNWDP.The maximum subsidence is 180 mm,and the maximum deformation rate is approximately-125 mm/a.The deformation of most subsidence centers has a continuous subsidence trend,but no evidence can prove that the boundaries of the subsidence basins would expand to the main channel of the SNWDP.The results of risk grading based on risk assessment indicators also revealed the presence of no-risk and low-risk areas along the main canal of the SNWDP,accompanied by a small number of medium-to high-risk areas.Overall,DS-InSAR can obtain sufficient observation points and realize fine deformation monitoring of mining areas within the SNWDP and Jiaozuo.The Jiaozuo section of the middle route of the SNWDP is less affected by mining subsidence,while high-deformation risk areas exist in the northwestern mines in Zhangtun,Baizhuang,and Zhongmacun.High-risk areas need to be continuously monitored to prevent potential subsidence hazards.The spatial distribution of medium-to high-risk areas is in good agreement with the results of the deformation analysis.Therefore,the risk indicator based on deformation and distance factors proposed in this study has good research value and can provide a scientific basis for disaster risk assessment of the SNWDP.Future research may include exploring hydrogeological factors and optimizing risk assessment indicators to improve the accuracy of deformation risk evaluation results under complex geological conditions.

remote sensinggoafDS-InSARsurface deformation monitoringmiddle route of South-North Water Diversion Projectrisk indicator

张子彦、张敬凯、张豪磊、杜玉玲、闫世勇

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中国矿业大学 自然资源部国土环境与灾害监测重点实验室,徐州 221116

河南省资源环境调查五院,郑州 450053

遥感 采空区 DS-InSAR 地表形变监测 南水北调中线 风险指标

国家重点研发计划国家自然科学基金国家自然科学基金

2022YFE01026004200401141876226

2024

遥感学报
中国地理学会环境遥感分会 中国科学院遥感应用研究所

遥感学报

CSTPCD北大核心
影响因子:2.921
ISSN:1007-4619
年,卷(期):2024.28(4)
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