基于聚类算法的路径频散曲线拾取方法  

A Path Dispersion Curve Picking Method Based on Clustering Algorithm

作　　者：何建 张建中[1,2] 黄忠来[1,2] He Jian;Zhang Jianzhong;Huang Zhonglai(College of Marine Geosciences,Ocean University of China,Qingdao 266100,China;Key Laboratory of Seabed Science and Exploration Technology,Ministry of Education,Ocean University of China,Qingdao 266100,China)

机构地区：[1]中国海洋大学海洋地球科学学院,山东青岛266100 [2]中国海洋大学海底科学与探测技术教育部重点实验室,山东青岛266100

出　　处：《中国海洋大学学报（自然科学版）》2025年第1期149-157,共9页Periodical of Ocean University of China

基　　金：国家自然科学基金项目(42174154);山东省自然科学基金项目(ZR2020MD047)资助。

摘　　要：多道地震资料面波分析方法是目前确定近地表横波速度的有效工具,但由于反演的一维横波速度模型仅反映了检波器排列中点垂直方向上的横波速度变化,因此其横向分辨率较差。与面波分析方法相比,面波层析反演方法具有更大的潜力来提高近地表特征的横向分辨率。但是面波层析反演方法需要从大量检波器对之间(路径)的平均频散能量谱中拾取频散曲线,人工拾取将耗费大量的时间成本。针对这个问题,本文进行了聚类算法自动从路径平均频散能量谱中拾取相速度频散曲线的研究。理论模型正演数据以及实际资料面波数据的实验结果都验证了本文方法的正确性。The multichannel analysis of surface waves(MASW)method is an effective tool to determine the near-surface shear wave velocity,but its reversion resolution is poor because the inverted one-dimensional shear wave velocity model only reflects the shear wave velocity change in the vertical direction of the receiver array midpoint.In comparison to the MASW method,surface wave tomography holds significant potential for enhancing the lateral resolution of near-surface features.In the surface wave tomography inversion method,it takes a lot of time and cost to manually pick up the dispersion curve from the average dispersion energy spectrum between a large number of receiver pairs(paths).Therefore,the clustering algorithm is carried out to automatically pick up the phase velocity dispersion curve from the path average dispersion energy spectrum to solve this problem.The experimental results of both synthetic data and actual surface wave data have verified the correctness of the method proposed in this paper.

关 键 词：聚类算法 频散曲线 面波层析反演 横波速度 

分 类 号：P631.4[天文地球—地质矿产勘探]