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危岩变形自动化监测预警技术与应用——以重庆市江北区唐郭路为例

Application of intelligent monitoring and early warning technoolgy mode of geological disaster:a case study of Tangguo Road in Jiangbei District of Chongqing
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摘要 近年来,重庆市江北区唐郭路多次发生危岩崩塌、滚落事故,严重影响沿途车辆通行和行人出行。本研究采用自动化监测预警技术,对唐郭路沿线危岩变形进行监测。监测分析表明:2022年,监测区内大部分监测点的监测数据及变形曲线正常,部分监测点的水平、垂直位移大于设定限差,但超限幅度不大;通过裂缝监测,成功预报W616南-1危岩变形垮塌;通过监测数据、变形曲线与宏观地质巡查分析,得出部分孤石及附近、15#陡崖带及21#公路边坡地质条件差,裂隙发育,处于基本稳定-欠稳定状态,存在掉块、崩塌、坠落较大风险的结论。 In recent years,there have been many accidents of dangerous rock collapse and rolling on Tangguo Road in Jiangbei District of Chongqing,which seriously affect the traffic of vehicles and pedestrian travel along the road.This study uses an intelligent monitoring and early warning system to monitor dangerous rocks along Tangguo Road.Through the analysis of monitoring data,it is found that during the observation period from January to December in 2022,the monitoring data and deformation curves of most monitoring points in the monitoring area are normal,and the horizontal and vertical displacements of some monitoring points are greater than the set limit,but the exceedance ranges are small.Through fracture monitoring,the W616 south-1 dangerous rock deformation and collapse has been forecast successfully.By monitoring data and the deformation curve and combining the macroscopic geological patrol analysis part,it is concluded that the geological condition of 15#near boulder and steep cliff zone and 21#highway slope is poor,and the fracture is in development,which is in basically stable-unstable state.And there is still a big potential safety hazard of rock falling and collapse.
作者 张志希 陈克勋 侯均洪 李迎 ZHANG Zhixi;CHEN Kexun;HOU Junhong;LI Ying(Chongqing 136 Geological Team,Chongqing 401147,China;Chongqing Jiangbei Planning and Natural Resources Affairs Center,Chongqing 401147,China;Coal Engineering College of Shanxi Datong University,Datong 037009,Shanxi,China)
出处 《自然资源信息化》 2024年第1期35-41,共7页 Natural Resources Informatization
基金 山西大同大学2022年研究生教育创新项目(22CX41)。
关键词 危岩变形 自动化 监测预警 监测区 重庆 dangerous rock collapse intelligent monitoring and early warning monitoring area Chongqing
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