2016 Central Italy Earthquakes Recorded by Low‐Cost MEMS‐Distributed Arrays

Boaga, Jacopo; Casarin, Filippo; Marchi, Giancarlo De; Valluzzi, María Rosa; Cassiani, Giorgio

doi:10.1785/0220180198

Cited by 10 publications

(9 citation statements)

References 23 publications

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“… This dataset stands apart from conventional earthquake waveform datasets that include data from networks or databases managed by national monitoring agencies with higher-quality instrumentation, such as [ 1 , 2 ]. While other works have evaluated MEMS devices for structural monitoring [3] , seismology [4] , and analysis of Italian seismicity [5] , [6] , [7] , [8] , this dataset has been tailored for the development of ML applications. It can be utilized to develop models and algorithms based on carefully annotated, low-cost sensor data acquired during seismic events.…”

Section: Value Of the Datamentioning

confidence: 99%

Low-cost MEMS accelerometers for earthquake early warning systems: A dataset collected during seismic events in central Italy

Esposito,

Marzorati,

Belli

et al. 2024

Data in Brief

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Section: Value Of the Datamentioning

confidence: 99%

Low-cost MEMS accelerometers for earthquake early warning systems: A dataset collected during seismic events in central Italy

Esposito,

Marzorati,

Belli

et al. 2024

Data in Brief

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“…In fact, rougher information about the arrivals or about the amplitude of seismic waves would result in relevant uncertainties in the estimation of the location of a given earthquake or into a weak assessment of its energy release (i.e., earthquake magnitude) although some results are encouraging [65,66,67]. However, MEMS stations could contribute for temporary network tightening in case of seismic crisis when a fast monitoring enhancement around the epicentral area is desirable, also with the help of local citizens [43,44,68]. Moreover, in the cases when a certain degree of redundancy is required (e.g., diversification of the instruments or of the transmission protocols), then a mixed traditional-MEMS network could represent a proper solution in terms of cost–benefit ratio [28,67,69,70,71].…”

Section: Application Of Capacitive Mems Accelerometers To Seismologymentioning

confidence: 99%

A Review of the Capacitive MEMS for Seismology

D’Alessandro

Scudero

Vitale

2019

Sensors

104

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MEMS (Micro Electro-Mechanical Systems) sensors enable a vast range of applications: among others, the use of MEMS accelerometers for seismology related applications has been emerging considerably in the last decade. In this paper, we provide a comprehensive review of the capacitive MEMS accelerometers: from the physical functioning principles, to the details of the technical precautions, and to the manufacturing procedures. We introduce the applications within seismology and earth sciences related disciplines, namely: earthquake observation and seismological studies, seismic surveying and imaging, structural health monitoring of buildings. Moreover, we describe how the use of the miniaturized technologies is revolutionizing these fields and we present some cutting edge applications that, in the very last years, are taking advantage from the use of MEMS sensors, such as rotational seismology and gravity measurements. In a ten-year outlook, the capability of MEMS sensors will certainly improve through the optimization of existing technologies, the development of new materials, and the implementation of innovative production processes. In particular, the next generation of MEMS seismometers could be capable of reaching a noise floor under the lower seismic noise (few tenths of ng/ H z ) and expanding the bandwidth towards lower frequencies (∼0.01 Hz).

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“…Over the past decade, several authors (Avallone et al, 2009(Avallone et al, , 2012Bock et al, 2004;Cheloni et al, 2016;Wang et al, 2007;Xiang et al, 2019) demonstrated that the GPS instruments are able to infer the dynamic features of fault rupture processes, when they are set up with an high frequency sampling interval (≤ 1 Hz). These dynamic observations are several orders of magnitude less sensitive than the common high quality seismometers readings, but do not suffer from drift, clipping, or instrument tilting (Avallone et al, 2009).…”

Section: Comparison Between Low-cost Mems Sensor and Gps Signalsmentioning

confidence: 99%

2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays

Cenni

Boaga

Casarin³

et al. 2019

Adv. Geosci.

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Abstract. 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.

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2016 Central Italy Earthquakes Recorded by Low‐Cost MEMS‐Distributed Arrays

Cited by 10 publications

References 23 publications

Low-cost MEMS accelerometers for earthquake early warning systems: A dataset collected during seismic events in central Italy

Low-cost MEMS accelerometers for earthquake early warning systems: A dataset collected during seismic events in central Italy

A Review of the Capacitive MEMS for Seismology

2016 Central Italy Earthquakes: comparison between GPS signals and low-cost distributed MEMS arrays

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