A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide

被引:32
作者
Li, Yuanyao [1 ]
Huang, Jinsong [2 ,3 ]
Jiang, Shui-Hua [2 ]
Huang, Faming [2 ]
Chang, Zhilu [2 ]
机构
[1] China Univ Geosci, Geol Survey, Wuhan 430074, Hubei, Peoples R China
[2] Nanchang Univ, Sch Civil Engn & Architecture, Nanchang 330000, Jiangxi, Peoples R China
[3] Univ Newcastle, ARC Ctr Excellence Geotech Sci & Engn, Callaghan, NSW, Australia
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
基金
中国国家自然科学基金;
关键词
WAVELET; PREDICTION; TRANSFORM; MODEL;
D O I
10.1038/s41598-017-17507-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:13
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