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New approach for earthquake/tsunami monitoring using dense GPS networks
In recent times increasing numbers of high-rate GPS stations have been installed around the world and set-up to provide data in real-time. These networks provide a great opportunity to quickly capture surface displacements, which makes them important as potential constituents of earthquake/tsunami m...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3775310/ https://www.ncbi.nlm.nih.gov/pubmed/24045328 http://dx.doi.org/10.1038/srep02682 |
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author | Li, Xingxing Ge, Maorong Zhang, Yong Wang, Rongjiang Xu, Peiliang Wickert, Jens Schuh, Harald |
author_facet | Li, Xingxing Ge, Maorong Zhang, Yong Wang, Rongjiang Xu, Peiliang Wickert, Jens Schuh, Harald |
author_sort | Li, Xingxing |
collection | PubMed |
description | In recent times increasing numbers of high-rate GPS stations have been installed around the world and set-up to provide data in real-time. These networks provide a great opportunity to quickly capture surface displacements, which makes them important as potential constituents of earthquake/tsunami monitoring and warning systems. The appropriate GPS real-time data analysis with sufficient accuracy for this purpose is a main focus of the current GPS research. In this paper we propose an augmented point positioning method for GPS based hazard monitoring, which can achieve fast or even instantaneous precise positioning without relying on data of a specific reference station. The proposed method overcomes the limitations of the currently mostly used GPS processing approaches of relative positioning and global precise point positioning. The advantages of the proposed approach are demonstrated by using GPS data, which was recorded during the 2011 Tohoku-Oki earthquake in Japan. |
format | Online Article Text |
id | pubmed-3775310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-37753102013-09-18 New approach for earthquake/tsunami monitoring using dense GPS networks Li, Xingxing Ge, Maorong Zhang, Yong Wang, Rongjiang Xu, Peiliang Wickert, Jens Schuh, Harald Sci Rep Article In recent times increasing numbers of high-rate GPS stations have been installed around the world and set-up to provide data in real-time. These networks provide a great opportunity to quickly capture surface displacements, which makes them important as potential constituents of earthquake/tsunami monitoring and warning systems. The appropriate GPS real-time data analysis with sufficient accuracy for this purpose is a main focus of the current GPS research. In this paper we propose an augmented point positioning method for GPS based hazard monitoring, which can achieve fast or even instantaneous precise positioning without relying on data of a specific reference station. The proposed method overcomes the limitations of the currently mostly used GPS processing approaches of relative positioning and global precise point positioning. The advantages of the proposed approach are demonstrated by using GPS data, which was recorded during the 2011 Tohoku-Oki earthquake in Japan. Nature Publishing Group 2013-09-17 /pmc/articles/PMC3775310/ /pubmed/24045328 http://dx.doi.org/10.1038/srep02682 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Article Li, Xingxing Ge, Maorong Zhang, Yong Wang, Rongjiang Xu, Peiliang Wickert, Jens Schuh, Harald New approach for earthquake/tsunami monitoring using dense GPS networks |
title | New approach for earthquake/tsunami monitoring using dense GPS networks |
title_full | New approach for earthquake/tsunami monitoring using dense GPS networks |
title_fullStr | New approach for earthquake/tsunami monitoring using dense GPS networks |
title_full_unstemmed | New approach for earthquake/tsunami monitoring using dense GPS networks |
title_short | New approach for earthquake/tsunami monitoring using dense GPS networks |
title_sort | new approach for earthquake/tsunami monitoring using dense gps networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3775310/ https://www.ncbi.nlm.nih.gov/pubmed/24045328 http://dx.doi.org/10.1038/srep02682 |
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