多源遥感揭示公路边坡变形与裂缝的耦合机制OA

[Purposes]In view of the low efficiency and limited coverage of traditional methods in identifying landslides on highway slopes in complex mountainous areas,an efficient and accurate method for identification and mechanism analysis was explored in this paper.[Methods]By taking the typical landslide at K2643+617 on the G357 line in Huaning County,Yunnan Province as the research object,multi-source technologies including persistent scatterer interferometric synthetic aperture radar(PS-InSAR),airborne light detection and ranging(LiDAR),and high-resolution optical remote sensing were integrated to form a technical pathway of collaborative interpretation.The advantages of PS-InSAR in millimeter-level deformation monitoring,airborne LiDAR in vegetation penetration and fine characterization of micro-topography,and optical remote sensing in rapid boundary interpretation were fully leveraged.[Results]The landslide body is in a continuous movement state,with a maximum cumulative deformation of-20 mm and an annual average deformation rate of-8 mm·a-1.Based on airborne LiDAR data,three main landslide cracks at the rear and front edges of the landslide,as well as two engineering deformation boundaries spatially coinciding with the existing anti-slide piles,are accurately identified.The spatial overlay analysis of deformation and cracks shows that the high deformation rate zone(deformation rate of[-8,-4.8)mm·a-1)highly coincides with the dense crack development zone;the main parts of two major cracks are both located in the high deformation rate zone(accounting for 66.7%),and the main part of one major crack is located in the medium deformation rate zone(deformation rate of[1.6,4.8)and[-4.8,-1.6)mm·a-1).The main parts of the two engineering deformation boundaries are both located in the high deformation rate zone(accounting for 100%),which reveals that the middle and front parts of the landslide are the critical areas for deformation accumulation and stress concentration.[Conclusions]This landslide is a traction-type reactivated landslide triggered by anti-slide engineering failure and rainfall,and multi-source remote sensing collaborative technology can provide key technical support for the early identification,mechanism analysis,and risk prevention and control of landslide hazards.It also demonstrates that multi-source remote sensing collaboration can provide crucial technical support for early identification,mechanism analysis,and risk prevention and control of landslide hazards.