GPS Near-Real-Time Coseismic Displacements for the Great Tohoku-oki Earthquake

Branzanti, Mara; Colosimo, G.; Crespi, Mattia; Mazzoni, Augusto

doi:10.1109/lgrs.2012.2207704

Cited by 53 publications

(30 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean RMSEs of them are 2.4, 2.5, and 3.7 cm in the east, north, and up components, respectively. The RMSEs reveal that the integrated displacements can achieve centimeter‐level accuracy, which are consistent with previous publications such as Colosimo et al () and Branzanti et al ().…”

Section: Resultssupporting

confidence: 91%

“…Displacements can be obtained from a single integration of velocities, which is subject to an induced trend in the displacements due to residual errors in the velocity estimates such as satellite orbit and clock errors, atmospheric errors, and multipath effects. By applying a method of detrending, displacements with centimeter‐level accuracy can be obtained (Benedetti et al, ; Branzanti et al, ; Colosimo et al, ; Geng et al, ; Hung et al, ). The variometric approach has advantages over relative positioning and PPP.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Broadband Velocities and Displacements From Integrated GPS and Accelerometer Data for High‐Rate Seismogeodesy

Shu

Fang

Geng

et al. 2018

Geophysical Research Letters

View full text Add to dashboard Cite

We present a new method of integrating Global Positioning System (GPS) and accelerometer data for high‐rate seismogeodesy. This method is based on the GPS variometric approach which can obtain seismic waves in real time using only the readily available broadcast products and a single receiver. Collocated 1‐Hz GPS and 200‐Hz accelerometer data from the 2016 MW 7.8 Kaikōura earthquake were analyzed to verify the effectiveness of this method. Results reveal that this method can provide broadband and more accurate velocities and displacements qualified to detect P wave arrivals. Moreover, this method can effectively avoid the aliasing problem present in the 1‐Hz GPS waveforms. We therefore conclude that this new method can be a powerful tool to capture seismic waves in real time, which is crucial for the purpose of tsunami early warning and earthquake rapid response.

show abstract

Section: Resultssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Broadband Velocities and Displacements From Integrated GPS and Accelerometer Data for High‐Rate Seismogeodesy

Shu

Fang

Geng

et al. 2018

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…High-rate GNSS has been a hot research topic recently and found a lot of applications in earth sciences and civil engineering (see e.g., Kato et al 2000;Larson et al 2003;Larson 2009;Smalley 2009;Grapenthin and Freymueller 2011;Branzanti et al 2013;Moschas and Stiros 2015;Xu et al 2013Xu et al , 2019. A number of methods have been proposed to ensure high precision high-rate GNSS waveform and displacement measurements.…”

Section: Introductionmentioning

confidence: 99%

A large scale of apparent sudden movements in Japan detected by high-rate GPS after the 2011 Tohoku Mw9.0 earthquake: Physical signals or unidentified artifacts?

Shu

Liu

et al. 2019

Earth Planets Space

View full text Add to dashboard Cite

A moment magnitude Mw9.0 earthquake hit northeastern Japan at 14:46:18 (Japan Standard Time), March 11, 2011. We have obtained 1 s precise point positioning solutions for 1198 GEONET stations. Although GPS position time series have been routinely investigated and used as waveforms for dynamic inversion of earthquakes, we focus on exploring the spatial displacement features of GEONET stations for this earthquake. A movie inspection of high-rate GPS waveforms leads us to find that 76.21% of the GEONET stations in the Japanese islands subsided suddenly within 1 s between 14:59:45 and 14:59:46, Japan local time, with an average displacement of − 2.43 , 2.83 and − 4.75 mm in the east, north and vertical components, respectively, about 15 min after the 2011 Tohoku earthquake. We have performed different types of independent tests, namely measurement error analysis, processing the GEONET data with a different software system, a statistical hypothesis testing under a simple assumption of sign distributions, the test computation of the displacement field outside of the Japanese islands and an independent test with the Japanese strong motion borehole network KiK-net, to see whether these sudden movements actually occurred. The first four independent tests are passed almost without any doubt, and the direction of the average sudden displacements is roughly consistent tectonically with the direction of subduction of the Pacific plate. Because there are only 78 KiK-net borehole stations available for an independent seismic test, the KiK-net results are marginally consistent with those of GEONET. In the daily seismological and geophysical practice, one may then conclude that the sudden movement within the second is real after passing these five independent tests. However, a further epoch-by-epoch check pinpoints a few more seconds with even a higher probability of sudden displacement from the 20-min three-component high-rate GPS waveforms after the main shock, or more precisely, the seconds between 14:59:04 and 14:59:05, 15:01:04 and 15:01:05, and 15:03:39 and 15:03:40 with 80.80, 84.14 and 85.89% of the GEONET stations simultaneously moving upward, southward and westward, respectively. Although these probabilities are very high, it may hardly be imagined that a large scale of sudden movements could occur repeatedly between 14:59:04 and 15:03:40. The highrate GPS results imply that some detected sudden movements after the earthquake could be unidentified artifacts of GPS data processing, though we cannot rule out the possibility that the detected sudden movements in Japan after the 2011 Tohoku Mw9.0 earthquake are real physical signals.

show abstract

“…The ideal solution would be when the data coming from the sensors could be processed immediately and continuously. Classic procession of high volume data result in very bad performance; they require new approach [9] and also traditional SQL queries does not scale well, i.e. : with an increasing data set the SQL queries take more and more time [8] to be processed.…”

Section: Related Workmentioning

confidence: 99%

Supporting smart system applications in scientific gateway environment

Karóczkai

Bánáti

Kacsuk

et al. 2015

2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics

View full text Add to dashboard Cite

Abstract-Smart system application are gaining significant attention especially concerning health monitoring researches. Data captured from sensors are arriving continuously and for an efficient handling of this large volume of data stream processing would give the ideal solution [6]. Stream processing means that without intermediate storage the data should be processed as they are coming from the sensors. Storing and downloading data is a time-consuming mechanism, and during our investigation we have proved that data downloading time has significant impact on the overall execution of our health monitoring smart application. We have investigated the most common science gateway solution to examine the path that data takes from the outer storage to the executor node or the infrastructure and we have defined an execution model for smart system applications where the data movement is minimal. I.INTRODUCTION Smart systems are targeted to collect data from sensors positioned into the observed process, and from the collected data to analyze, operate and control the system in order to gain better efficiency. These systems incorporate functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions. Concerning smart applications the size of the data in most cases are less than a kilobyte, but taking into account the sampling frequency (which can be 600 Hz/source of the digital signal) and the number of the sources which can range up to more thousands, than we face a real-time big data problem. The sensorization of real world processes and most relevantly healthcare applications lead to novel requirements of real-time data analyses. At the beginning of the wide-spread use of smart systems the main issue was the storage of data, but nowadays mainly the real time low latency processing of the high-volume data faces us big challenge. For the execution of compute intensive applications different kind of DCIs (Distributed Computing Infrastructure), clusters, grids and supercomputers are used. The aim of our research is to develop an execution model that can effectively support the data analyses in smart system applications irrespectively from the selected DCI.

show abstract

GPS Near-Real-Time Coseismic Displacements for the Great Tohoku-oki Earthquake

Cited by 53 publications

References 19 publications

Broadband Velocities and Displacements From Integrated GPS and Accelerometer Data for High‐Rate Seismogeodesy

Broadband Velocities and Displacements From Integrated GPS and Accelerometer Data for High‐Rate Seismogeodesy

A large scale of apparent sudden movements in Japan detected by high-rate GPS after the 2011 Tohoku Mw9.0 earthquake: Physical signals or unidentified artifacts?

Supporting smart system applications in scientific gateway environment

Contact Info

Product

Resources

About