Please use this identifier to cite or link to this item:
Authors: Civico, Riccardo* 
Brunori, Carlo Alberto* 
De Martini, Paolo Marco* 
Pucci, Stefano* 
Cinti, Francesca Romana* 
Pantosti, Daniela* 
Title: Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy)
Issue Date: 2015
Series/Report no.: /15(2015)
DOI: 10.5194/nhess-15-2473-2015
Keywords: Liquefaction
Emilia earthquake
Subject Classification04.06. Seismology 
Abstract: We report a case study from the Po River plain region (northern Italy), where significant liquefaction-related land and property damage occurred during the 2012 Emilia seismic sequence.We took advantage of a 1m pixel lidar digital terrain model (DTM) and of the 2012 Emilia coseismic liquefaction data set to (a) perform a detailed geomorphological study of the Po River plain area and (b) quantitatively define the liquefaction susceptibility of the geomorphologic features that experienced different abundance of liquefaction. One main finding is that linear topographic highs of fluvial origin – together with crevasse splays, abandoned riverbeds and very young land reclamation areas – acted as a preferential location for the occurrence of liquefaction phenomena. Moreover, we quantitatively defined a hierarchy in terms of liquefaction susceptibility for an ideal fluvial environment. We observed that a very high liquefaction susceptibility is found in coincidence with fluvial landforms, a high-tomoderate liquefaction susceptibility within a buffer distance of 100 and 200m from mapped fluvial landforms and a low liquefaction susceptibility outside fluvial landforms and relative buffer areas. Lidar data allowed a significant improvement in mapping with respect to conventionally available topographic data and/or aerial imagery. These results have significant implications for accurate hazard and risk assessment as well as for land-use planning. We propose a simple geomorphological approach for liquefaction susceptibility estimation. Our findings can be applied to areas beyond Emilia that are characterized by similar fluvial-dominated environments and prone to significant seismic hazard.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat 
nhess-15-2473-2015.pdf8.97 MBAdobe PDFView/Open
Show full item record

Page view(s)

Last Week
Last month
checked on May 27, 2019


checked on May 27, 2019

Google ScholarTM