Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1249-2024
https://doi.org/10.5194/nhess-24-1249-2024
Research article
 | 
08 Apr 2024
Research article |  | 08 Apr 2024

A dense micro-electromechanical system (MEMS)-based seismic network in populated areas: rapid estimation of exposure maps in Trentino (NE Italy)

Davide Scafidi, Alfio Viganò, Jacopo Boaga, Valeria Cascone, Simone Barani, Daniele Spallarossa, Gabriele Ferretti, Mauro Carli, and Giancarlo De Marchi

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Cited articles

Akaike, H.: Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average process, Ann. I. Stat. Math., 26, 363–387, 1974. 
Boaga, J., Casarin, F., De Marchi, G., Valluzzi, M. R., and Cassiani, G.: 2016 Central Italy earthquakes recorded by low-cost MEMS-distributed arrays, Seismol. Res. Lett., 90, 672–682, https://doi.org/10.1785/0220180198, 2018. 
Cascone, V., Boaga, J., and Cassiani, G.: Small locale earthquake detection using low-cost MEMS accelerometers: examples in Northern and Central Italy, The Seismic Record, 1, 20–26, 2021. 
Cochran, E. S.: To catch a quake, Nat. Commun., 9, 2508, https://doi.org/10.1038/s41467-018-04790-9, 2018. 
Cochran, E. S., Lawrence, J. F., Christensen, C., and Jakka, R. S.: The quake-catcher network: citizen science expanding seismic horizons, Seismol. Res. Lett., 80, 26–30, https://doi.org/10.1785/gssrl.80.1.26, 2009. 
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Our paper concerns the use of a dense network of low-cost seismic accelerometers in populated areas to achieve rapid and reliable estimation of exposure maps in Trentino (northeast Italy). These additional data, in conjunction with the automatic monitoring procedure, allow us to obtain dense measurements which only rely on actual recorded data, avoiding the use of ground motion prediction equations. This leads to a more reliable picture of the actual ground shaking.
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