2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays
<p>Modern seismic ground-motion sensors have reached an excellent performance quality in terms of dynamic range and bandwidth resolution. The weakest point in the recording of seismic events remains spatial sampling and spatial resolution, due to the limited number of installed sensors. A sign...
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Format: | Article |
Language: | English |
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Copernicus Publications
2019-08-01
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Series: | Advances in Geosciences |
Online Access: | https://www.adv-geosci.net/51/1/2019/adgeo-51-1-2019.pdf |
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author | N. Cenni J. Boaga F. Casarin G. De Marchi M. R. Valluzzi G. Cassiani |
author_facet | N. Cenni J. Boaga F. Casarin G. De Marchi M. R. Valluzzi G. Cassiani |
author_sort | N. Cenni |
collection | DOAJ |
description | <p>Modern seismic ground-motion sensors have reached an excellent
performance quality in terms of dynamic range and bandwidth resolution. The
weakest point in the recording of seismic events remains spatial sampling
and spatial resolution, due to the limited number of installed sensors. A
significant improvement in spatial resolution can be achieved by the use of
non-conventional motion sensors, such as low-cost distributed sensors arrays
or positioning systems, capable of increasing the density of classical
seismic recording networks. In this perspective, we adopted micro-electro
mechanical system (MEMS) sensors to integrate the use of standard
accelerometers for moderate-to-strong seismic events. In addition, we
analyse high-rate distributed positioning system data that also record soil
motion. In this paper, we present data from the 2016 Central Italy
earthquakes as recorded by a spatially dense prototype MEMS array installed
in the proximity of the epicentral area, and we compare the results to the
signal of local 1s GPS stations. We discuss advantages and limitations of
this joint approach, reaching the conclusion that such low-cost sensors and
the use of high rate GPS signal could be an effective choice for integrate
the spatial density of stations providing strong-motion parameters.</p> |
first_indexed | 2024-04-13T02:52:32Z |
format | Article |
id | doaj.art-a7b768aa45bc478fa0153be3e5acf859 |
institution | Directory Open Access Journal |
issn | 1680-7340 1680-7359 |
language | English |
last_indexed | 2024-04-13T02:52:32Z |
publishDate | 2019-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Advances in Geosciences |
spelling | doaj.art-a7b768aa45bc478fa0153be3e5acf8592022-12-22T03:05:48ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592019-08-015111410.5194/adgeo-51-1-20192016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arraysN. Cenni0J. Boaga1F. Casarin2G. De Marchi3M. R. Valluzzi4G. Cassiani5Department of Geosciences, University of Padova, Padova, 35130, ItalyDepartment of Geosciences, University of Padova, Padova, 35130, ItalyEXPIN srl, Spin-off University of Padova, Padova, 35130, ItalyAD.EL srl, Venice, 30100, ItalyDepartment of Cultural Heritage DBC, University of Padova, Padova, 35130, ItalyDepartment of Geosciences, University of Padova, Padova, 35130, Italy<p>Modern seismic ground-motion sensors have reached an excellent performance quality in terms of dynamic range and bandwidth resolution. The weakest point in the recording of seismic events remains spatial sampling and spatial resolution, due to the limited number of installed sensors. A significant improvement in spatial resolution can be achieved by the use of non-conventional motion sensors, such as low-cost distributed sensors arrays or positioning systems, capable of increasing the density of classical seismic recording networks. In this perspective, we adopted micro-electro mechanical system (MEMS) sensors to integrate the use of standard accelerometers for moderate-to-strong seismic events. In addition, we analyse high-rate distributed positioning system data that also record soil motion. In this paper, we present data from the 2016 Central Italy earthquakes as recorded by a spatially dense prototype MEMS array installed in the proximity of the epicentral area, and we compare the results to the signal of local 1s GPS stations. We discuss advantages and limitations of this joint approach, reaching the conclusion that such low-cost sensors and the use of high rate GPS signal could be an effective choice for integrate the spatial density of stations providing strong-motion parameters.</p>https://www.adv-geosci.net/51/1/2019/adgeo-51-1-2019.pdf |
spellingShingle | N. Cenni J. Boaga F. Casarin G. De Marchi M. R. Valluzzi G. Cassiani 2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays Advances in Geosciences |
title | 2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays |
title_full | 2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays |
title_fullStr | 2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays |
title_full_unstemmed | 2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays |
title_short | 2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays |
title_sort | 2016 central italy earthquakes comparison between gps signals and low cost distributed mems arrays |
url | https://www.adv-geosci.net/51/1/2019/adgeo-51-1-2019.pdf |
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