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自然资源遥感  2024, Vol. 36 Issue (2): 248-256    DOI: 10.6046/zrzyyg.2022485
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
重大工程建设中地质灾害综合遥感监测技术方法应用——以北京2022冬奥会延庆赛区为例
马晓雪(), 焦润成(), 曹颖, 南赟, 王晟宇, 郭学飞, 赵丹凝, 闫驰, 倪璇
北京市地质灾害防治研究所,北京 100120
Application of integrated remote sensing monitoring technology for geological hazards in major engineering construction:A case study of the Yanqing competition area of the Beijing 2022 Olympic Winter Games
MA Xiaoxue(), JIAO Runcheng(), CAO Ying, NAN Yun, WANG Shengyu, GUO Xuefei, ZHAO Danning, YAN Chi, NI Xuan
Beijing Institute of Geological Hazard Prevention,Beijing 100120, China
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摘要 

随着我国经济社会发展,工程建设成为地质灾害的主要诱因之一。天-空-地一体化综合遥感监测技术能够实现不同尺度、不同规模的立体监测,为重大工程建设中地质灾害隐患提供丰富的监测手段。在阐述天-空-地一体化综合遥感监测技术的基础上,以北京2022年冬奥会延庆赛区为例,针对赛区发育的多类型、多灾种的地质灾害隐患,综合利用高分辨率光学遥感、时序合成孔径雷达干涉测量技术(interferometric synthetic aperture Radar,InSAR)、无人机航空摄影测量、激光雷达(light detection and ranging,LiDAR)和地基干涉雷达测量对赛区地质灾害隐患开展动态监测,查明了泥石流沟内物源变化特征以及工程边坡、雪道的变形区域和时序变形特征,总结了重大工程建设中地质灾害综合遥感监测方法,并提出多手段、多平台、多灾种、全流程的灾害监测应用设想。

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马晓雪
焦润成
曹颖
南赟
王晟宇
郭学飞
赵丹凝
闫驰
倪璇
关键词 综合遥感监测冬奥会延庆赛区天-空-地一体化地质灾害    
Abstract

With the economic and social advancement in China, engineering construction has become a primary cause of geologic hazards. The space-air-ground integrated remote sensing monitoring technology can achieve three-dimensional monitoring at different scales, thus providing rich monitoring methods for geological hazards in major engineering construction. Based on the technology, this study investigated the Yanqing competition area of the Beijing 2022 Olympic Winter Games. Considering the various types of geological hazards in the Yanqing competition area, this study conducted dynamic monitoring of geological hazards in the area by integrating high-resolution optical remote sensing, time-series interferometric synthetic aperture radar (InSAR), unmanned aerial vehicle (UAV) photogrammetry, light detection and ranging (LiDAR), and ground-based InSAR. The dynamic monitoring results reveal the sedimentary source variations in the debris flow gully as well as the deformation zones and time-series deformation characteristics of engineering slopes and ski tracks. This study summarized the integrated remote sensing monitoring methods for geological hazards in major engineering construction, proposing an application assumption of multi-means, multi-platform, multi-disaster, and whole-process hazard monitoring.

Key wordsintegrated remote sensing monitoring    Yanqing competition area of Olympic Winter Games    space-air-ground integration    geologic hazard
收稿日期: 2022-12-12      出版日期: 2024-06-14
ZTFLH:  TP79  
基金资助:北京市规划和自然资源委员会项目“北京2022年冬奥会延庆赛区地质灾害隐患监测”(ZHDZ20200901);北京市地质矿产勘查院项目“北京西山典型地质灾害早期识别与监测预警示范研究”(ZHQT20220201)
通讯作者: 焦润成(1986-),男,硕士,高级工程师,主要从事遥感地质应用研究。Email: tanner-doll@126.com
作者简介: 马晓雪(1991-),女,硕士,工程师,主要从事遥感地质应用研究。Email: mxx120591@sina.com
引用本文:   
马晓雪, 焦润成, 曹颖, 南赟, 王晟宇, 郭学飞, 赵丹凝, 闫驰, 倪璇. 重大工程建设中地质灾害综合遥感监测技术方法应用——以北京2022冬奥会延庆赛区为例[J]. 自然资源遥感, 2024, 36(2): 248-256.
MA Xiaoxue, JIAO Runcheng, CAO Ying, NAN Yun, WANG Shengyu, GUO Xuefei, ZHAO Danning, YAN Chi, NI Xuan. Application of integrated remote sensing monitoring technology for geological hazards in major engineering construction:A case study of the Yanqing competition area of the Beijing 2022 Olympic Winter Games. Remote Sensing for Natural Resources, 2024, 36(2): 248-256.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/zrzyyg.2022485      或      https://www.gtzyyg.com/CN/Y2024/V36/I2/248
Fig.1  研究区泥石流隐患和斜坡类灾害隐患影像特征
Fig.2  研究区重点地质灾害隐患分布位置
影像类型 时相 空间分辨率/m 作用
光学影像(BJ-2) 2020年10月—2022年3月 0.8 具有大面积重复观测的特点,可对赛区泥石流物源冲淤、威胁对象等变化监测
无人机影像 2019年 0.05 影像空间分辨率更高,是卫星光学影像的有效补充,能够实现重点区域的精细化监测
雷达影像(Sentinel-1) 2021年1月—2022年2月 5×20 能够捕捉缓慢形变信息,可实现赛区人工构筑物和物源稳定性以及开挖区和填方区的形变监测
设备类型 型号 精度/cm 作用
三维激光扫描仪 Optech Polaris(架站式) 1 精度高,可实现斜坡类灾害的高精度形变监测
GeoSLAM(手持式) 1~3 体积小、重量轻、不受架站条件限制,在泥石流沟内等复杂环境中可快速获取数据
边坡雷达 S-SAR <0.1 具有全天候、连续性的实时在线监测功能,可实现边坡的实时监测和预警
Tab.1  研究区数据源及选用设备一览表
Fig.3  天-空-地一体化的冬奥延庆赛区地质灾害综合遥感监测体系
Fig.4  N01东侧支沟工程切坡堆积物冲淤2020年6—9月BJ-2光学影像和现场照片
Fig.5  延庆赛区建设中的航飞数据
Fig.6  N02上游沟道2期模型对比(GeoSLAM)
Fig.7  工程边坡BP01三维激光扫描监测结果
Fig.8  延庆赛区时序InSAR形变结果
Fig.9  雪道顶部时序形变曲线
Fig.10  监测区域累计形变云图
Fig.11  A4区域形变曲线
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