ISSN 1003-8035 CN 11-2852/P

    微动探测在砂卵石地层地面塌陷地质灾害识别中的应用以成都地区为例

    Application of microtremor survey to ground-collapse hazard identification in sand-pebble strata: A case study in Chengdu

    • 摘要: 针对成都市砂卵石地层中地面塌陷灾害隐蔽性强、传统探测方法对潜在空洞与松散区识别能力不足的问题,基于微动探测与瑞利波频散理论,开展城市地质灾害精细探测方法研究。首先,结合成都平原冲洪积砂卵石地层结构特征及塌陷形成机理,阐明了地下水扰动与工程活动作用下颗粒骨架劣化与空洞演化过程;其次,基于瑞利波频散反演获取剪切波速(Vs)剖面,构建了以Vs为主控参数的地层结构识别方法,并引入多源信息约束,建立了砂卵石地层疏松区与空洞的综合判别模型;最后,通过典型工程实例开展对比分析与开挖验证。结果表明:(1)微动探测可有效获取0~10 m范围内地层瑞利波速结构,低速异常区与松散区及空洞发育区具有良好对应关系;(2)提出了适用于成都地区的砂卵石密实度分级标准及地面塌陷风险分级阈值;(3)通过工程验证,低速异常区与实际空洞空间展布一致性较高,验证了方法的可靠性。研究成果可为城市道路塌陷隐患识别与地下空间安全评价提供有效技术手段。

       

      Abstract:
      Ground-collapse hazards in the sand-pebble strata of Chengdu are highly concealed, and conventional detection methods are often insufficient for identifying potential cavities and loosened zones. To address this issue, this study investigates an advanced urban geohazard detection approach based on microtremor survey techniques and Rayleigh wave dispersion theory. First, considering the depositional characteristics of alluvial sand-pebble strata in the Chengdu Plain and the mechanisms of ground collapse, the evolution of particle-skeleton degradation and cavity development under groundwater disturbance and engineering activities is analyzed. Second, shear-wave velocity (Vs) profiles are obtained by inverting Rayleigh wave dispersion curves, and a subsurface characterization method using Vs as the controlling parameter is established. Furthermore, a comprehensive identification model for loosened zones and cavities in sand-pebble strata is developed by incorporating multi-source constraints. Finally, typical engineering cases are analyzed and verified by excavation.
      The results indicate that: (1) the microtremor method can effectively characterize subsurface shear-wave velocity structures within 0~10 m depth, and low-velocity anomalies correspond well to loosened zones and cavity-developed areas; (2) classification criteria for sand-pebble soil density and ground-collapse risk thresholds applicable to the Chengdu area are proposed; and (3) field validation demonstrates strong consistency between detected low-velocity anomalies and the actual spatial distribution of subsurface cavities, confirming the reliability of the proposed method.

       

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