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厄瓜多尔现今地壳速度场的 cGPS 位置时间序列。

Present-Day Crustal Velocity Field in Ecuador from cGPS Position Time Series.

机构信息

Departamento de Ingeniería Cartográfica, Geodésica y Fotogrametría, Campus de las Lagunillas, Universidad de Jaén, 23071 Jaén, Spain.

Centro de Estudios Avanzado en Ciencias de la Tierra, Energía y Medio Ambiente (CEACTEMA), Campus de las Lagunillas, Universidad de Jaén, 23071 Jaén, Spain.

出版信息

Sensors (Basel). 2023 Mar 21;23(6):3301. doi: 10.3390/s23063301.

DOI:10.3390/s23063301
PMID:36992014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10054471/
Abstract

The present study analyzes the GNSS time series obtained between the years 2017 and 2022 for the calculation of absolute and residual rates of Ecuador in 10 stations (ABEC, CUEC, ECEC, EPEC, FOEC, GZEC, MUEC, PLEC, RIOP, SEEC, TPC) of the continuous monitoring REGME network. Considering that the latest studies refer to periods 2012-2014 and Ecuador is located in an area of high seismic activity, it is important to update the GNSS rates. The RINEX data were provided by the Military Geographic Institute of Ecuador, the governing institution of geoinformation in that country; for processing, GipsyX scientific software was used with a PPP mode, considering 24 h sessions, and high precision was achieved. For the analysis of time series, the SARI platform was used. The series was modeled using a least-squares adjustment, which delivered the velocities for each station in the three local topocentric components. The results were contrasted with other studies, obtaining interesting conclusions as the presence of abnormal post-seismic rates stands out due to the high rate of seismic occurrence in Ecuador, and reaffirms the idea of a constant update of velocities for the Ecuadorian territory and the inclusion of the stochastic factor in the analysis of GNSS time series, since it can affect the ability to obtain the final GNSS velocities.

摘要

本研究分析了 2017 年至 2022 年期间获得的 GNSS 时间序列,以计算厄瓜多尔 10 个连续监测 REGME 网络站(ABEC、CUEC、ECEC、EPEC、FOEC、GZEC、MUEC、PLEC、RIOP、SEEC、TPC)的绝对和残差速度。考虑到最新的研究涉及 2012-2014 年期间,且厄瓜多尔位于地震活动高发地区,更新 GNSS 速度非常重要。RINEX 数据由厄瓜多尔军事地理研究所提供,该研究所是该国地理信息的管理机构;为了进行处理,使用了 GipsyX 科学软件,采用 PPP 模式,考虑 24 小时会话,实现了高精度。对于时间序列的分析,使用了 SARI 平台。使用最小二乘调整对该序列进行建模,为每个站在三个局部天心地心坐标分量中提供了速度。结果与其他研究进行了对比,得出了有趣的结论,因为厄瓜多尔地震频发,存在异常余震速度,这再次证实了对厄瓜多尔领土的速度进行不断更新的想法,并在 GNSS 时间序列分析中纳入随机因素,因为它可能会影响最终获得 GNSS 速度的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/550724d9741b/sensors-23-03301-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/5246b9a5f01d/sensors-23-03301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/8652df878151/sensors-23-03301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/4adfc53f0b09/sensors-23-03301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/e5e25c6f594a/sensors-23-03301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/fbcf928aa4db/sensors-23-03301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/df853178ef29/sensors-23-03301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/b94484c7845d/sensors-23-03301-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/f8432f6b88a0/sensors-23-03301-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/7d623e319dd6/sensors-23-03301-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/550724d9741b/sensors-23-03301-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/5246b9a5f01d/sensors-23-03301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/8652df878151/sensors-23-03301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/4adfc53f0b09/sensors-23-03301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/e5e25c6f594a/sensors-23-03301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/fbcf928aa4db/sensors-23-03301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/df853178ef29/sensors-23-03301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/b94484c7845d/sensors-23-03301-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/f8432f6b88a0/sensors-23-03301-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/7d623e319dd6/sensors-23-03301-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9329/10054471/550724d9741b/sensors-23-03301-g010.jpg

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