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2026, 09, v.24 77-80
利用PS-InSAR技术进行地表形变监测与风险评估
基金项目(Foundation): 中国五矿青年科技基金资助项目(2024QNJJA01)
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发布时间: 2026-09-28
出版时间: 2026-09-28
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摘要:

近年来大规模城市建设和特殊地质结构使长沙市出现了明显的地面沉降,严重威胁建筑物和基础设施安全。基于2018年10月—2022年1月获取的32景TerraSAR-X卫星影像,利用PS-InSAR技术精确获取了研究区地表形变分布,展现了沉降区的时间变化趋势。通过建筑物GIS矢量框对PS点进行精准分割,成功获取单体建筑物的形变监测值;再利用风险评估模型,对整个长沙市的建筑物开展全面风险等级评估。结果表明,查出潜在风险建筑物(C级或D级) 9 610栋,多为低矮楼房。研究成果为长沙市防灾减灾工作提供了有力的技术支撑与科学的决策依据,有助于提升城市应对地质灾害的能力,保障城市的可持续发展。

Abstract:

Changsha City, Hunan Province, China has experienced significant surface subsidence in recent years due to extensive urban construction activities and unique geological structures. This phenomenon poses a serious threat to the safety of buildings and infrastructure. In this study,based on 32 TerraSAR-X satellite images acquired from October 2018 to January 2022, we used the PS-InSAR technology to accurately obtain the distribution of surface deformation within the study area, revealing the temporal variation trend of subsidence zone. We successfully extracted the deformation monitoring values of individual buildings by precisely segmenting PS points using GIS vector data corresponding to each building.Furthermore, based on a risk evaluation model, we conducted a comprehensive evaluation of risk levels for all buildings in Changsha City. The results indicate that a total of 9 610 potential risk buildings(classified as grade C or D) are identified, most of which are low-rise buildings. This research provides robust technical support and serves as a scientific basis for disaster prevention and mitigation efforts in Changsha City, enhancing the urban capacity to manage geological disasters while ensuring urban sustainable development.

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基本信息:

中图分类号:P237;P642.2

引用信息:

[1]吴文清,程文,田阔,等.利用PS-InSAR技术进行地表形变监测与风险评估[J].地理空间信息,2026,24(09):77-80.

基金信息:

中国五矿青年科技基金资助项目(2024QNJJA01)

发布时间:

2026-09-28

出版时间:

2026-09-28

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