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Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China

The Mufushan-Jiaoshan fault (MJF) is a hidden active fault located on the north side of the Ningzhen Mountain Range and developed along the Yangtze River in Zhenjiang area, China. In this paper, the structure of MJF is detected and studied using group-velocity ambient noise tomography. In the study...

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Autores principales: Zheng, Leiming, Fan, Xiaoping, Zhang, Peng, Hao, Jingrun, Qian, Hao, Zheng, Tuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807081/
https://www.ncbi.nlm.nih.gov/pubmed/33441778
http://dx.doi.org/10.1038/s41598-020-80249-6
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author Zheng, Leiming
Fan, Xiaoping
Zhang, Peng
Hao, Jingrun
Qian, Hao
Zheng, Tuo
author_facet Zheng, Leiming
Fan, Xiaoping
Zhang, Peng
Hao, Jingrun
Qian, Hao
Zheng, Tuo
author_sort Zheng, Leiming
collection PubMed
description The Mufushan-Jiaoshan fault (MJF) is a hidden active fault located on the north side of the Ningzhen Mountain Range and developed along the Yangtze River in Zhenjiang area, China. In this paper, the structure of MJF is detected and studied using group-velocity ambient noise tomography. In the study area (18 km × 25 km), 47 short-period seismic stations were deployed with the average station spacing of about 3 km and 24 days (from 27 February to 22 March 2019) of continuous ambient-noise recordings were collected. And 510 group velocity dispersion curves in the period band 0.5–5 s were extracted using the vertical component data. And then the three-dimensional shear-wave velocity structure was inverted using group dispersion data by the direct surface-wave tomographic method. Our results are consistent with the geological background of the study area, showing that in the depth range of 0.6–1.5 km, the north side of MJF presents a relatively high velocity, and the south side presents a distribution pattern of high and low velocity. While in the depth range of 1.5–2.0 km, the shear-wave velocity (V(s)) model is relatively simple with relatively low velocity on the north side and relatively high velocity on the south side. And the gradient zone of V(s) may be the location of the main fracture surface of MJF. The good correspondence between the V(s) model and the fault structure indicates that the ambient noise tomography method can be used as an effective method for detecting hidden faults in urban environments.
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spelling pubmed-78070812021-01-14 Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China Zheng, Leiming Fan, Xiaoping Zhang, Peng Hao, Jingrun Qian, Hao Zheng, Tuo Sci Rep Article The Mufushan-Jiaoshan fault (MJF) is a hidden active fault located on the north side of the Ningzhen Mountain Range and developed along the Yangtze River in Zhenjiang area, China. In this paper, the structure of MJF is detected and studied using group-velocity ambient noise tomography. In the study area (18 km × 25 km), 47 short-period seismic stations were deployed with the average station spacing of about 3 km and 24 days (from 27 February to 22 March 2019) of continuous ambient-noise recordings were collected. And 510 group velocity dispersion curves in the period band 0.5–5 s were extracted using the vertical component data. And then the three-dimensional shear-wave velocity structure was inverted using group dispersion data by the direct surface-wave tomographic method. Our results are consistent with the geological background of the study area, showing that in the depth range of 0.6–1.5 km, the north side of MJF presents a relatively high velocity, and the south side presents a distribution pattern of high and low velocity. While in the depth range of 1.5–2.0 km, the shear-wave velocity (V(s)) model is relatively simple with relatively low velocity on the north side and relatively high velocity on the south side. And the gradient zone of V(s) may be the location of the main fracture surface of MJF. The good correspondence between the V(s) model and the fault structure indicates that the ambient noise tomography method can be used as an effective method for detecting hidden faults in urban environments. Nature Publishing Group UK 2021-01-13 /pmc/articles/PMC7807081/ /pubmed/33441778 http://dx.doi.org/10.1038/s41598-020-80249-6 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zheng, Leiming
Fan, Xiaoping
Zhang, Peng
Hao, Jingrun
Qian, Hao
Zheng, Tuo
Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China
title Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China
title_full Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China
title_fullStr Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China
title_full_unstemmed Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China
title_short Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China
title_sort detection of urban hidden faults using group-velocity ambient noise tomography beneath zhenjiang area, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807081/
https://www.ncbi.nlm.nih.gov/pubmed/33441778
http://dx.doi.org/10.1038/s41598-020-80249-6
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