Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake

Peak ground displacement (PGD) and peak ground velocity (PGV) are critical parameters during earthquake early warning, as they can provide rapid magnitude estimation before rupture end. In this study, we used the high-rate Global Navigation Satellite System (GNSS) data from 55 continuous stations to...

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Autores principales:	Zhiyu Gao, Yanchuan Li, Xinjian Shan, Chuanhua Zhu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	earthquake magnitude estimation high-rate GNSS PGD PGV Maduo earthquake Science Q
Acceso en línea:	https://doaj.org/article/ff551e96d0ab443487beec702ff26664
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spelling	oai:doaj.org-article:ff551e96d0ab443487beec702ff266642021-11-11T18:58:49ZEarthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake10.3390/rs132144782072-4292https://doaj.org/article/ff551e96d0ab443487beec702ff266642021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4478https://doaj.org/toc/2072-4292Peak ground displacement (PGD) and peak ground velocity (PGV) are critical parameters during earthquake early warning, as they can provide rapid magnitude estimation before rupture end. In this study, we used the high-rate Global Navigation Satellite System (GNSS) data from 55 continuous stations to estimate the magnitude of the 2021 Maduo earthquake in western China. We used the relative positioning method and variometric approach to acquire real-time GNSS displacement and velocity waveforms, respectively. The results showed the amplitude of displacement and velocity waveforms gradually decreased with increasing hypocentral distance. Our results showed that the fluctuation of PGD magnitudes over time is smaller than that of PGV magnitudes. Nonetheless, the earthquake magnitudes estimated from both methods were consistent with their counterparts (Mw 7.3) reported by the United States Geological Survey (USGS). The final magnitude estimated from the PGD and PGV methods were Mw 7.25 and Mw 7.31, respectively. In addition, our results highlighted how the number of high-rate GNSS stations could influence the stability and convergence time of magnitude estimation.Zhiyu GaoYanchuan LiXinjian ShanChuanhua ZhuMDPI AGarticleearthquake magnitude estimationhigh-rate GNSSPGDPGVMaduo earthquakeScienceQENRemote Sensing, Vol 13, Iss 4478, p 4478 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	earthquake magnitude estimation high-rate GNSS PGD PGV Maduo earthquake Science Q
spellingShingle	earthquake magnitude estimation high-rate GNSS PGD PGV Maduo earthquake Science Q Zhiyu Gao Yanchuan Li Xinjian Shan Chuanhua Zhu Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake
description	Peak ground displacement (PGD) and peak ground velocity (PGV) are critical parameters during earthquake early warning, as they can provide rapid magnitude estimation before rupture end. In this study, we used the high-rate Global Navigation Satellite System (GNSS) data from 55 continuous stations to estimate the magnitude of the 2021 Maduo earthquake in western China. We used the relative positioning method and variometric approach to acquire real-time GNSS displacement and velocity waveforms, respectively. The results showed the amplitude of displacement and velocity waveforms gradually decreased with increasing hypocentral distance. Our results showed that the fluctuation of PGD magnitudes over time is smaller than that of PGV magnitudes. Nonetheless, the earthquake magnitudes estimated from both methods were consistent with their counterparts (Mw 7.3) reported by the United States Geological Survey (USGS). The final magnitude estimated from the PGD and PGV methods were Mw 7.25 and Mw 7.31, respectively. In addition, our results highlighted how the number of high-rate GNSS stations could influence the stability and convergence time of magnitude estimation.
format	article
author	Zhiyu Gao Yanchuan Li Xinjian Shan Chuanhua Zhu
author_facet	Zhiyu Gao Yanchuan Li Xinjian Shan Chuanhua Zhu
author_sort	Zhiyu Gao
title	Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake
title_short	Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake
title_full	Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake
title_fullStr	Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake
title_full_unstemmed	Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake
title_sort	earthquake magnitude estimation from high-rate gnss data: a case study of the 2021 mw 7.3 maduo earthquake
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ff551e96d0ab443487beec702ff26664
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Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake

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