Articles | Volume 15, issue 11
https://doi.org/10.5194/nhess-15-2473-2015
https://doi.org/10.5194/nhess-15-2473-2015
Research article
 | 
09 Nov 2015
Research article |  | 09 Nov 2015

Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy)

R. Civico, C. A. Brunori, P. M. De Martini, S. Pucci, F. R. Cinti, and D. Pantosti

Related authors

New insights into active tectonics and seismogenic potential of the Italian Southern Alps from vertical geodetic velocities
Letizia Anderlini, Enrico Serpelloni, Cristiano Tolomei, Paolo Marco De Martini, Giuseppe Pezzo, Adriano Gualandi, and Giorgio Spada
Solid Earth, 11, 1681–1698, https://doi.org/10.5194/se-11-1681-2020,https://doi.org/10.5194/se-11-1681-2020, 2020
Short summary

Related subject area

Earthquake Hazards
PERL: a dataset of geotechnical, geophysical, and hydrogeological parameters for earthquake-induced hazards assessment in Terre del Reno (Emilia-Romagna, Italy)
Chiara Varone, Gianluca Carbone, Anna Baris, Maria Chiara Caciolli, Stefania Fabozzi, Carolina Fortunato, Iolanda Gaudiosi, Silvia Giallini, Marco Mancini, Luca Paolella, Maurizio Simionato, Pietro Sirianni, Rose Line Spacagna, Francesco Stigliano, Daniel Tentori, Luca Martelli, Giuseppe Modoni, and Massimiliano Moscatelli
Nat. Hazards Earth Syst. Sci., 23, 1371–1382, https://doi.org/10.5194/nhess-23-1371-2023,https://doi.org/10.5194/nhess-23-1371-2023, 2023
Short summary
Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand
Samuel Roeslin, Quincy Ma, Pavan Chigullapally, Joerg Wicker, and Liam Wotherspoon
Nat. Hazards Earth Syst. Sci., 23, 1207–1226, https://doi.org/10.5194/nhess-23-1207-2023,https://doi.org/10.5194/nhess-23-1207-2023, 2023
Short summary
A non-extensive approach to probabilistic seismic hazard analysis
Sasan Motaghed, Mozhgan Khazaee, Nasrollah Eftekhari, and Mohammad Mohammadi
Nat. Hazards Earth Syst. Sci., 23, 1117–1124, https://doi.org/10.5194/nhess-23-1117-2023,https://doi.org/10.5194/nhess-23-1117-2023, 2023
Short summary
Inferring the depth and magnitude of pre-instrumental earthquakes from intensity attenuation curves
Paola Sbarra, Pierfrancesco Burrato, Valerio De Rubeis, Patrizia Tosi, Gianluca Valensise, Roberto Vallone, and Paola Vannoli
Nat. Hazards Earth Syst. Sci., 23, 1007–1028, https://doi.org/10.5194/nhess-23-1007-2023,https://doi.org/10.5194/nhess-23-1007-2023, 2023
Short summary
Tsunami scenario triggered by a submarine landslide offshore of northern Sumatra Island and its hazard assessment
Haekal A. Haridhi, Bor Shouh Huang, Kuo Liang Wen, Arif Mirza, Syamsul Rizal, Syahrul Purnawan, Ilham Fajri, Frauke Klingelhoefer, Char Shine Liu, Chao Shing Lee, Crispen R. Wilson, Tso-Ren Wu, Ichsan Setiawan, and Van Bang Phung
Nat. Hazards Earth Syst. Sci., 23, 507–523, https://doi.org/10.5194/nhess-23-507-2023,https://doi.org/10.5194/nhess-23-507-2023, 2023
Short summary

Cited articles

Aydan, O., Ulusay, R., and Atak, V.O.: Evaluation of ground deformations induced by the 1999 Kocaeli earthquake (turkey) at selected sites on shorelines, Environ. Geol., 54, 165–182, 2008.
Bertolini, G. and Fioroni C.: Aerial inventory of surficial geological effects induced by the recent Emilia earthquake (Italy): preliminary report, Ann. Geophys., 55, 705–711, https://doi.org/10.4401/ag-6113, 2012.
Boccaletti, M and Martelli, L.: Carta sismo-tettonica della Regione Emilia-Romagna scala 1:250.000 e note illustrative, S.EL.CA, Firenze, 2004.
Bozzoni, F., Lai, C.G., and Scandella, L.: Preliminary results of ground-motion characteristics, Ann. Geophys, 55, 609–614, https://doi.org/10.4401/ag-6121, 2012.
Castiglioni, G. B., Biancotti, A., Bondesan, M., Cortemiglia, G. C., Elmi, C., Favero, V., Gasperi, G., Marchetti, G., Orombelli, G., Pellegrini, G. B., and Tellini, C.: Geomorphologic map of the Po Plain, Italy, at a scale of 1:250000, Earth Surf. Proc. Land., 24, 1115–1120, 1999.
Download
Short summary
The 2012 Emilia seismic sequence (Italy) caused significant liquefaction-related damage. We used a lidar DTM and the 2012 liquefaction data to (a) perform a geomorphological study of the Po River plain and (b) define the liquefaction susceptibility of the geomorphologic features. Results indicate that fluvial landforms acted as a preferential location for the occurrence of liquefaction. We quantitatively defined a hierarchy in terms of liquefaction susceptibility for an ideal fluvial environment
Altmetrics
Final-revised paper
Preprint