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作 者:李孟 李晓光 杨洋 赵普志 赵蓂冠 王红霞 LI Meng;LI Xiaoguang;YANG Yang;ZHAO Puzhi;ZHAO Liankuan;WANG Hongxia(Research Institute of Electric Power Science,State Grid Xinjiang Power Company Limited,Urumqi 830001,China;Xinjiang Key Laboratory of Extreme Environment Operation and Detection Technology for Power Transmission and Substation Equipment,Urumqi 830001,China;State Grid Xinjiang Power Company Limited,Urumqi 830001,China)
机构地区:[1]国网新疆电力有限公司电力科学研究院,新疆乌鲁木齐830001 [2]新疆输变电设备极端环境运行与检测技术重点实验室,新疆乌鲁木齐830001 [3]国网新疆电力有限公司,新疆乌鲁木齐830001
出 处:《粘接》2025年第5期135-138,共4页Adhesion
基 金:国网新疆电力有限公司科技项目(项目编号:SGXJDK00GYJS2200274)。
摘 要:地面沉降是一个全球性的地质环境问题,严重威胁了地面及地下基础设施建设安全性。为探明地面沉降影响因子,以天山山脉东段为研究对象,基于永久散射体干涉测量(Persistent Scatterer Interferometric Synthetic Aperture Radar, PS-InSAR)沉降数据和其他7个影响因子数据,利用极端随机树分析地面沉降影响因素。结果表明,2022年研究区整体沉降量较小,区域内零星分布有沉降区,最大沉降量为75 mm;高程、地形起伏度、坡度、断裂和降水对沉降影响较大,重要性占比达93.3%,建筑和矿区开采未造成显著影响。Land subsidence is a global geological and environmental problem,which seriously threatens the safety of surface and underground infrastructure construction.In order to find out the influencing factors of land subsidence,the eastern section of the Tianshan Mountains was taken as the research object,and based on the sedimentation data of Persistent Scatterer Interferometric Synthetic Aperture Radar(PS-InSAR)and seven other influencing factors,the extreme random tree was used to analyze the influencing factors of land subsidence.The results showed that the overall subsidence in the study area in 2022 was small,and there were sporadic subsidence areas in the area,with a maximum subsidence of 75 mm.Elevation,topographic relief,slope,fault and precipitation had a great impact on subsidence,accounting for 93.3%of the importance,and construction and mining had no significant impact.
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