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

Related authors

MUDA: dynamic geophysical and geochemical MUltiparametric DAtabase
Marco Massa, Andrea Luca Rizzo, Davide Scafidi, Elisa Ferrari, Sara Lovati, Lucia Luzi, and the MUDA working group
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-185,https://doi.org/10.5194/essd-2024-185, 2024
Preprint under review for ESSD
Short summary
Evaluation of liquefaction triggering potential in Italy: a seismic-hazard-based approach
Simone Barani, Gabriele Ferretti, and Davide Scafidi
Nat. Hazards Earth Syst. Sci., 23, 1685–1698, https://doi.org/10.5194/nhess-23-1685-2023,https://doi.org/10.5194/nhess-23-1685-2023, 2023
Short summary

Related subject area

Earthquake Hazards
Modelling seismic ground motion and its uncertainty in different tectonic contexts: challenges and application to the 2020 European Seismic Hazard Model (ESHM20)
Graeme Weatherill, Sreeram Reddy Kotha, Laurentiu Danciu, Susana Vilanova, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 24, 1795–1834, https://doi.org/10.5194/nhess-24-1795-2024,https://doi.org/10.5194/nhess-24-1795-2024, 2024
Short summary
Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data
Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 24, 1401–1413, https://doi.org/10.5194/nhess-24-1401-2024,https://doi.org/10.5194/nhess-24-1401-2024, 2024
Short summary
Exploring inferred geomorphological sediment thickness as a new site proxy to predict ground-shaking amplification at regional scale: application to Europe and eastern Türkiye
Karina Loviknes, Fabrice Cotton, and Graeme Weatherill
Nat. Hazards Earth Syst. Sci., 24, 1223–1247, https://doi.org/10.5194/nhess-24-1223-2024,https://doi.org/10.5194/nhess-24-1223-2024, 2024
Short summary
Surface rupture kinematics of the 2020 Mw 6.6 Masbate (Philippines) earthquake determined from optical and radar data
Khelly Shan Sta. Rita, Sotiris Valkaniotis, and Alfredo Mahar Francisco Lagmay
Nat. Hazards Earth Syst. Sci., 24, 1135–1161, https://doi.org/10.5194/nhess-24-1135-2024,https://doi.org/10.5194/nhess-24-1135-2024, 2024
Short summary
The influence of aftershocks on seismic hazard analysis: a case study from Xichang and the surrounding areas
Qing Wu, Guijuan Lai, Jian Wu, and Jinmeng Bi
Nat. Hazards Earth Syst. Sci., 24, 1017–1033, https://doi.org/10.5194/nhess-24-1017-2024,https://doi.org/10.5194/nhess-24-1017-2024, 2024
Short summary

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. 
Download
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.
Altmetrics
Final-revised paper
Preprint