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基于功率谱密度筛选的高海拔区背景噪声快速成像技术

刘迪 杨涛 宋华东 李广超 毋光荣 郭良春 张锦想

物探与化探2024,Vol.48Issue(2):437-442,6.
物探与化探2024,Vol.48Issue(2):437-442,6.DOI:10.11720/wtyht.2024.1110

基于功率谱密度筛选的高海拔区背景噪声快速成像技术

A fast imaging technology for screening ambient noise in high-altitude areas based on power spectral density

刘迪 1杨涛 1宋华东 1李广超 1毋光荣 1郭良春 1张锦想1

作者信息

  • 1. 黄河勘测规划设计研究院有限公司,河南 郑州 450003
  • 折叠

摘要

Abstract

Acquiring empirical Green's functions with a real and high signal-to-noise ratio serves as a prerequisite for deriving surface wave dispersion and inverting underground structures.However,the distribution of actual noise sources differs from the theory,and the energy and quantity of noise sources are limited in the high-altitude areas.Acquiring empirical Green's functions with a high signal-to-noise ratio is challenging,apart from a prolonged data acquisition period required.Given these,this study presented a method for screen-ing ambient noise data based on power spectral density.Using this method,this study screened 92-hour ambient noise data from a high-altitude area.Consequently,this method significantly reduced the calculation time of cross-correlation,effectively extracted surface waves with a high signal-to-noise ratio,reduced the interference waves with high apparent velocities,and obtained a high-resolution shallow shear wave velocity structure of shallow parts with burial depths ranging from 0~140 m.This study provides a novel method for chal-lenging,short-term exploration of water conservancy and hydropower generation in high-altitude areas.

关键词

功率谱密度/数据筛选/高海拔区/背景噪声成像/面波

Key words

power spectral density/data selection/high-altitude area/ambient noise imaging/surface wave

分类

天文与地球科学

引用本文复制引用

刘迪,杨涛,宋华东,李广超,毋光荣,郭良春,张锦想..基于功率谱密度筛选的高海拔区背景噪声快速成像技术[J].物探与化探,2024,48(2):437-442,6.

基金项目

黄河勘测规划设计研究院自主科研项目(2021KY050) (2021KY050)

物探与化探

OACSTPCD

1000-8918

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