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百色电网输电通道边坡地灾隐患点识别与风险管控技术 被引量:1

Identification and Risk Control Technology of Slope Hazards in Baise Power Grid Transmission Corridor
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摘要 收集百色市历史地灾点作为地灾易发性评估的灾害基础数据集,优选地形地貌、地质条件、环境条件、人类活动等多项致灾评估因子构建符合百色市地域特征的地灾易发性评估模型。将卫星遥感中的InSAR(合成孔径雷达干涉)技术引入电网输电通道的广域微形变监测中,结合地灾易发性评估模型进行电网边坡的地灾隐患点识别。基于地质灾害风险管控的研究,提出针对电网输电通道边坡的相关地质灾害风险管控措施。该风险评估方法联合微形变动态指标和多项致灾评估因子等静态指标,通过指标优选分析,使模型更具科学性和实用性,能够实现对百色市输电通道边坡地灾隐患点的高精度、高效的风险排查以及提供合理的风险管控措施。 Collecting historical disaster point from Baise City as the basic dataset for disaster susceptibility assessment,multiple disaster assessment factors are selected,including terrain,geological conditions,environmental conditions,human activities,etc.,and a disaster susceptibility assessment model that conforms to the regional characteristics of Baise City is constructed.InSAR(interferometric synthetic aperture radar)technology from satellite remote sensing into the wide area micro deformation monitoring of the power grid transmission corridor is introduced,potential geological hazards on power grid slopes using a vulnerability assessment model is identified.Based on research on geological hazard risk management,relevant geological hazard risk management measures for the slope of power grid transmission corridors are proposed.This risk assessment method combines micro deformation dynamic indicators and multiple static indicators such as disaster assessment factors,and through indicator optimization analysis,makes the model more scientific and practical.It can achieve high-precision and efficient risk identification of potential disaster points on the slopes of the power transmission corridor in Baise City and provide reasonable risk control measures.
作者 刘波 陈刚 谭永殿 张文祥 韩伟 LIU Bo;CHEN Gang;TAN Yongdian;ZHANG Wenxiang;HAN Wei(Baise Bureau of Ultra High Voltage Transmission Company of China Southern Power Grid Co.,Ltd.,Baise 533000,Guangxi,China)
出处 《科技和产业》 2024年第1期260-266,共7页 Science Technology and Industry
关键词 输电通道边坡 InSAR(合成孔径雷达干涉)技术 地灾易发性评估 隐患点识别 风险管控 transmission corridor slope InSAR(interferometric synthetic aperture radar)technology assessment of disaster susceptibility identification of hidden danger points risk control
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