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基于地脉动观测的花岗岩风化壳边坡结构探查与动力响应研究

郭桢, 毛无卫, 黄雨, 潘龙, 牟旭, 崔寅兵. 基于地脉动观测的花岗岩风化壳边坡结构探查与动力响应研究——以浙江丽水某滑坡为例[J]. 中国地质灾害与防治学报, 2025, 36(2): 54-62. doi: 10.16031/j.cnki.issn.1003-8035.202412049
引用本文: 郭桢, 毛无卫, 黄雨, 潘龙, 牟旭, 崔寅兵. 基于地脉动观测的花岗岩风化壳边坡结构探查与动力响应研究——以浙江丽水某滑坡为例[J]. 中国地质灾害与防治学报, 2025, 36(2): 54-62. doi: 10.16031/j.cnki.issn.1003-8035.202412049
GUO Zhen, MAO Wuwei, HUANG Yu, PAN Long, MOU Xu, CUI Yinbing. Investigation of the structure and dynamic response of granite weathering crust slopes based on microtremor recordings: A case study of a landslide in Lishui, Zhejiang Province[J]. The Chinese Journal of Geological Hazard and Control, 2025, 36(2): 54-62. doi: 10.16031/j.cnki.issn.1003-8035.202412049
Citation: GUO Zhen, MAO Wuwei, HUANG Yu, PAN Long, MOU Xu, CUI Yinbing. Investigation of the structure and dynamic response of granite weathering crust slopes based on microtremor recordings: A case study of a landslide in Lishui, Zhejiang Province[J]. The Chinese Journal of Geological Hazard and Control, 2025, 36(2): 54-62. doi: 10.16031/j.cnki.issn.1003-8035.202412049

基于地脉动观测的花岗岩风化壳边坡结构探查与动力响应研究

  • 基金项目: 国家重点研发计划项目(2024YFC3012601)
详细信息
    作者简介: 郭 桢(1984—),男,山西祁县人,地质工程专业,博士,副教授,博士生导师,主要从事工程地质教学与科研工作。E-mail:zhenguo@tongji.edu.cn
    通讯作者: 黄 雨(1973—),男,江苏南京人,地质工程专业,博士,教授,博士生导师,主要从事工程地质教学与科研工作。E-mail:yhuang@tongji.edu.cn
  • 中图分类号: P642.22

Investigation of the structure and dynamic response of granite weathering crust slopes based on microtremor recordings: A case study of a landslide in Lishui, Zhejiang Province

More Information
  • 花岗岩风化壳边坡在我国东南地区广泛分布,极易在降雨条件下发生群发性滑坡,因此,花岗岩风化壳边坡结构探查和动力响应研究对此类地质灾害防治具有重要的意义。文章以浙江丽水某降雨诱发的花岗岩风化壳滑坡为例,于2019年7月滑坡发生后开展现场调查,结果表明该边坡由粗粒花岗岩风化层和花岗闪长岩风化层组成;2024年11月开展边坡地脉动监测,基于地脉动HVSR法的分析表明边坡坡顶、坡腰、坡脚的卓越频率不同,基于HVSR法的边坡剪切波速反演结果表明边坡由外向内主要由花岗岩风化残积层、全-强-中风化层组成,存在2~3个可能演化为滑面的地下界面,边坡在坡向方位上具有最显著的放大效应,且随高程的增大,3~22 Hz内竖直向和4~60 Hz水平向放大效应显著增强,各台站间同频率上存在放大同步现象,这不利于动力荷载作用下边坡的稳定,但跨频率间放大不同步,这有利于动力荷载作用下边坡的稳定性。

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  • 图 1  2019年浙江丽水降雨型滑坡和本文研究案例位置

    Figure 1. 

    图 2  浙江丽水研究案例边坡

    Figure 2. 

    图 3  研究案例典型全/强风化

    Figure 3. 

    图 4  地脉动HVSR谱随时间的变化

    Figure 4. 

    图 5  各台站的平均HVSR谱及卓越频率

    Figure 5. 

    图 6  根据图5中HVSR谱反演的边坡剪切波速(Vs)剖面

    Figure 6. 

    图 7  台站S1、S2和S3各后方位角上的HVSR谱

    Figure 7. 

    图 8  坡顶台站S1和坡腰台站S2

    Figure 8. 

    图 9  各台站对在各频率对内HVSR谱的Pearson相关系数(CC

    Figure 9. 

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出版历程
收稿日期:  2025-01-02
修回日期:  2025-02-05
录用日期:  2025-03-18
刊出日期:  2025-04-25

目录