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

Geophysical fingerprint of the 4–11 July 2024 eruptive activity at Stromboli volcano, Italy
Luciano Zuccarello, Duccio Gheri, Silvio De Angelis, Riccardo Civico, Tullio Ricci, and Piergiorgio Scarlato
EGUsphere, https://doi.org/10.5194/egusphere-2024-3773,https://doi.org/10.5194/egusphere-2024-3773, 2024
Short summary

Related subject area

Earthquake Hazards
Towards a harmonized operational earthquake forecasting model for Europe
Marta Han, Leila Mizrahi, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 25, 991–1012, https://doi.org/10.5194/nhess-25-991-2025,https://doi.org/10.5194/nhess-25-991-2025, 2025
Short summary
Modeling seismic hazard and landslide occurrence probabilities in northwestern Yunnan, China: exploring complex fault systems with multi-segment rupturing in a block rotational tectonic zone
Jia Cheng, Chong Xu, Xiwei Xu, Shimin Zhang, and Pengyu Zhu
Nat. Hazards Earth Syst. Sci., 25, 857–877, https://doi.org/10.5194/nhess-25-857-2025,https://doi.org/10.5194/nhess-25-857-2025, 2025
Short summary
Development of a regional probabilistic seismic hazard model for Central Asia
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, Marco Santulin, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci., 25, 817–842, https://doi.org/10.5194/nhess-25-817-2025,https://doi.org/10.5194/nhess-25-817-2025, 2025
Short summary
Computing the time-dependent activity rate using non-declustered and declustered catalogues – a first step towards time-dependent seismic hazard calculations for operational earthquake forecasting
David Montiel-López, Sergio Molina, Juan José Galiana-Merino, Igor Gómez, Alireza Kharazian, Juan Luis Soler-Llorens, José Antonio Huesca-Tortosa, Arianna Guardiola-Villora, and Gonzalo Ortuño-Sáez
Nat. Hazards Earth Syst. Sci., 25, 515–539, https://doi.org/10.5194/nhess-25-515-2025,https://doi.org/10.5194/nhess-25-515-2025, 2025
Short summary
Analysis of borehole strain anomalies before the 2017 Jiuzhaigou Ms 7.0 earthquake based on a graph neural network
Chenyang Li, Changfeng Qin, Jie Zhang, Yu Duan, and Chengquan Chi
Nat. Hazards Earth Syst. Sci., 25, 231–245, https://doi.org/10.5194/nhess-25-231-2025,https://doi.org/10.5194/nhess-25-231-2025, 2025
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
Share
Altmetrics
Final-revised paper
Preprint