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
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.
Xiaoxue MA,Runcheng JIAO,Ying CAO, et al. 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[J]. Remote Sensing for Natural Resources,
2024, 36(2): 248-256.
Fig.1 Image characteristics of debris flow hazards and slope hazards in the study area
Fig.2 Location map of key geological hazards in the study area
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 List of data sources and selected equipment in the study area
Fig.3 Integrated remote sensing monitoring system of geological hazards in Yanqing competition area of Olympic Winter Games based on space-air-ground integration
Fig.4 Optical images and field photo of slope cutting deposits erosion in the east branch of N01
Fig.5 Aerial photographic data in the construction of Yanqing competition area
Fig.6 Comparison diagram of two-period models of debris flow gully at the upstream of N02(GeoSLAM)
Fig.7 3D laser scanning monitoring results of engineering slope BP01
Fig.8 Time series InSAR deformation results of Yanqing competition area
Fig.9 Time series deformation curves of top of snow track
Fig.10 Cloud chart of cumulative deformation in monitoring area
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doi: 10.11947/j.AGCS.2022.20220306
Assessment report on geological hazards in Yanqing competition area of Beijing 2022 Winter Olympic Games[R], Beijing: Beijing Institute of Geological Survey,Beijing Institute of Geological Hazard Prevention, 2020.
2024,
Vol. 36
), JIAO Runcheng(
