Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1249-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-1249-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Apr 2024
Research article |
| 08 Apr 2024
| 08 Apr 2024
A dense micro-electromechanical system (MEMS)-based seismic network in populated areas: rapid estimation of exposure maps in Trentino (NE Italy)
Dipartimento di Scienze della Terra, dell'Ambiente e della Vita, University of Genoa, Corso Europa 26, 16132 Genoa, Italy
Alfio Viganò
Servizio Geologico, Provincia autonoma di Trento, Via Zambra 42, 38121 Trento, Italy
Jacopo Boaga
Dipartimento di Geoscienze, University of Padua, Via Gradenigo 6, 35131 Padua, Italy
Valeria Cascone
Dipartimento di Geoscienze, University of Padua, Via Gradenigo 6, 35131 Padua, Italy
Simone Barani
Dipartimento di Scienze della Terra, dell'Ambiente e della Vita, University of Genoa, Corso Europa 26, 16132 Genoa, Italy
Daniele Spallarossa
Dipartimento di Scienze della Terra, dell'Ambiente e della Vita, University of Genoa, Corso Europa 26, 16132 Genoa, Italy
Gabriele Ferretti
Dipartimento di Scienze della Terra, dell'Ambiente e della Vita, University of Genoa, Corso Europa 26, 16132 Genoa, Italy
Mauro Carli
AD.EL s.r.l., via Sandro Pertini 5, 30030 Martellago (VE), Italy
Giancarlo De Marchi
AD.EL s.r.l., via Sandro Pertini 5, 30030 Martellago (VE), Italy
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Short summary
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.
Our paper concerns the use of a dense network of low-cost seismic accelerometers in populated...
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