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A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide
It is important to monitor the displacement time series and to explore the failure mechanism of reservoir landslide for early warning. Traditionally, it is a challenge to monitor the landslide displacements real-timely and automatically. Globe Position System (GPS) is considered as the best real-tim...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719357/ https://www.ncbi.nlm.nih.gov/pubmed/29215051 http://dx.doi.org/10.1038/s41598-017-17507-7 |
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author | Li, Yuanyao Huang, Jinsong Jiang, Shui-Hua Huang, Faming Chang, Zhilu |
author_facet | Li, Yuanyao Huang, Jinsong Jiang, Shui-Hua Huang, Faming Chang, Zhilu |
author_sort | Li, Yuanyao |
collection | PubMed |
description | It is important to monitor the displacement time series and to explore the failure mechanism of reservoir landslide for early warning. Traditionally, it is a challenge to monitor the landslide displacements real-timely and automatically. Globe Position System (GPS) is considered as the best real-time monitoring technology, however, the accuracies of the landslide displacements monitored by GPS are not assessed effectively. A web-based GPS system is developed to monitor the landslide displacements real-timely and automatically in this study. And the discrete wavelet transform (DWT) is proposed to assess the accuracy of the GPS monitoring displacements. Wangmiao landslide in Three Gorges Reservoir area in China is used as case study. The results show that the web-based GPS system has advantages of high precision, real-time, remote control and automation for landslide monitoring; the Root Mean Square Errors of the monitoring landslide displacements are less than 5 mm. Meanwhile, the results also show that a rapidly falling reservoir water level can trigger the reactivation of Wangmiao landslide. Heavy rainfall is also an important factor, but not a crucial component. |
format | Online Article Text |
id | pubmed-5719357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57193572017-12-08 A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide Li, Yuanyao Huang, Jinsong Jiang, Shui-Hua Huang, Faming Chang, Zhilu Sci Rep Article It is important to monitor the displacement time series and to explore the failure mechanism of reservoir landslide for early warning. Traditionally, it is a challenge to monitor the landslide displacements real-timely and automatically. Globe Position System (GPS) is considered as the best real-time monitoring technology, however, the accuracies of the landslide displacements monitored by GPS are not assessed effectively. A web-based GPS system is developed to monitor the landslide displacements real-timely and automatically in this study. And the discrete wavelet transform (DWT) is proposed to assess the accuracy of the GPS monitoring displacements. Wangmiao landslide in Three Gorges Reservoir area in China is used as case study. The results show that the web-based GPS system has advantages of high precision, real-time, remote control and automation for landslide monitoring; the Root Mean Square Errors of the monitoring landslide displacements are less than 5 mm. Meanwhile, the results also show that a rapidly falling reservoir water level can trigger the reactivation of Wangmiao landslide. Heavy rainfall is also an important factor, but not a crucial component. Nature Publishing Group UK 2017-12-07 /pmc/articles/PMC5719357/ /pubmed/29215051 http://dx.doi.org/10.1038/s41598-017-17507-7 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Yuanyao Huang, Jinsong Jiang, Shui-Hua Huang, Faming Chang, Zhilu A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide |
title | A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide |
title_full | A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide |
title_fullStr | A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide |
title_full_unstemmed | A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide |
title_short | A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide |
title_sort | web-based gps system for displacement monitoring and failure mechanism analysis of reservoir landslide |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719357/ https://www.ncbi.nlm.nih.gov/pubmed/29215051 http://dx.doi.org/10.1038/s41598-017-17507-7 |
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