A new method for coseismic offset detection from GPS coordinate time series  

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作  者:Zhiwei Yang Guangyu Xu Tengxu Zhang Mingkai Chen FeiWu Zhiping Chen 

机构地区:[1]School of Surveying and Geoinformation Engineering,East China University of Technology,Nanchang 330013,China [2]Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources,East China University of Technology,Nanchang 330013,China [3]Key Laboratory for Digital Land and Resources of Jiangxi Province,East China University of Technology,Nanchang 330013,China [4]Hubei Luojia Laboratory,Wuhan 430079,China [5]College of Resources and Environmental Science and Engineering,Hubei University of Science and Technology,Xianning 437100,China

出  处:《Geodesy and Geodynamics》2023年第6期551-558,共8页大地测量与地球动力学(英文版)

基  金:supported by the National Natural Science Foundation of China(No.42104008,42204006,41904031);the Jiangxi Provincial Natural Science Foundation(20232BAB213075);the Key Laboratory for Digital Land and Resources of Jiangxi Province,East China University of Technology(DLLJ202016);Open Fund of Hubei Luojia Laboratory(No.230100020,230100019)。

摘  要:Currently,the extraction of coseismic offset signals primarily relies on earthquake catalog data to determine the occurrence time of earthquakes.This is followed by the process of differencing the average GPS coordinate time series data,with a time interval of 3 to 5 days before and after the earthquake.In the face of the huge amount of GPS coordinate time series data today,the conventional approach of relying on earthquake catalog data to assist in obtaining coseismic offset signals has become increasingly burdensome.To address this problem,we propose a new method for automatically detecting coseismic offset signals in GPS coordinate time series without an extra earthquake catalog for reference.Firstly,we pre-process the GPS coordinate time series data for filtering out stations with significant observations missing and detecting and removing outliers.Secondly,we eliminate other signals and errors in the GPS coordinate time series,such as trend and seasonal signals,leaving the coseismic offset signals as the primary signal.The resulting coordinate time series is then modeled using the first-order difference and data stacking method.The modeling method enables automatic detection of the coseismic offset signals in the GPS coordinate time series.The aforementioned method is applied to automatically detect coseismic offset signals using simulated data and the Searles Valley GPS data in California,USA.The results demonstrate the efficacy of our proposed method,successfully detecting coseismic offsets from vast amounts of GPS coordinate time series data.

关 键 词:GPS Coordinate time series Coseismic offset Signal detection 

分 类 号:P228.4[天文地球—大地测量学与测量工程] P315[天文地球—测绘科学与技术]

 

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