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甘东南地区基于射线追踪面波频散三维成像

郭瑛霞 张元生 颜文华 魏从信 秦满忠

地震工程学报2017,Vol.39Issue(2):268-277,10.
地震工程学报2017,Vol.39Issue(2):268-277,10.DOI:10.3969/j.issn.1000-0844.2017.02.0268

甘东南地区基于射线追踪面波频散三维成像

Direct Inversion of Surface Wave Dispersion for Three-dimensionalShallow Crustal Structure Based on Ray Tracing inSoutheastern Area of Gansu Province

郭瑛霞 1张元生 1颜文华 1魏从信 1秦满忠1

作者信息

  • 1. 中国地震局兰州地震研究所,甘肃 兰州 730000
  • 折叠

摘要

Abstract

We used the vertical component of data from 62 flow stations recording continuous background noise to determine the possible interaction of surface-wave-related functions and Rayleigh-wave-phase velocity dispersion curves in southeastern Gansu (32.2°~33.5°N, 102.7°~105.5°E).We used the ray-tracing surface-wave-dispersion direct inversion method for five observation stations within a 20-km shear wave velocity distribution image depth range.The results show that there is a correlation between shear wave velocity corresponding to a 5-km depth and lateral variations in the thickness distribution of the deposited layer in the surface fault zone.In addition, the northern West Qinling fault zone is mostly a low-speed zone.Also, the Zhangxian and Lintao Basins belong to one type of characterization of the deposited thick layer (the last a few kilometres).About a 10-km depth corresponds to the shear wave velocity in the south margin fault of Lingbei Xiqin.The Lintan-Dangchang fault in the Lixian-Luojiabao area is between the low-fracture velocity zone, with light covered mountains-stacked high speed around the Northern Piedmont fault zone.There is a block structure of high and low rendering features near the Diebu-Bailong River Ling fault at about a 15-km depth.At about a 10~18-km depth range, the speed gradually increases with depth and the magnitude of the change is about 0.2 km/s.

关键词

背景噪声/互相关函数/射线追踪/瑞利面波层析成像

Key words

ambient noise/cross correlation function/ray tracing/rayleigh wave tomography

分类

建筑与水利

引用本文复制引用

郭瑛霞,张元生,颜文华,魏从信,秦满忠..甘东南地区基于射线追踪面波频散三维成像[J].地震工程学报,2017,39(2):268-277,10.

地震工程学报

OA北大核心CSCDCSTPCD

1000-0844

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