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Titel |
Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy) |
VerfasserIn |
R. Civico, C. A. Brunori, P. M. De Martini, S. Pucci, F. R. Cinti, D. Pantosti |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 11 ; Nr. 15, no. 11 (2015-11-09), S.2473-2483 |
Datensatznummer |
250119772
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Publikation (Nr.) |
copernicus.org/nhess-15-2473-2015.pdf |
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Zusammenfassung |
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 1 m 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-to-moderate liquefaction
susceptibility within a buffer distance of 100 and 200 m 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. |
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