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Advisor(s)
Abstract(s)
The two main events occurred during the 2012 seismic sequence on the
Po Plain in Northern Italy (May 20 Mw 5.9 and May 29 Mw 5.8) induced
widespread coseismic surface effects (CSEs), mostly liquefaction
phenomena, which caused severe damages. To prevent risks related to
CSE, an important non-structural measure is to assess locations
susceptible to liquefaction, which is usually done at site scale by means of
deterministic approaches in micro-zonation studies. This paper brings a
novel methodological contribution in the field of CSE susceptibility
mapping at regional scale, by testing and comparing bivariate (Weights of
Evidence) and multivariate (Logistic Regression) methods that, so far, have
not yet been used for such purpose. In a study area of 1480 km2
, the
computation used an inventory of CSE as supporting evidence and a set of
maps with geologic, geomorphic, hydrogeological and topographic
factors as causal variables. Both methods provided susceptibility maps
with a significant predictive capability and a fairly good spatial agreement
between each other. In conclusion, this application of data-driven spatial
modelling approaches indicates that such methods can be effectively
used for liquefaction susceptibility zonation at regional scale, which can
be of significant support for spatial planning over large areas.
Description
Keywords
Coseismic surface effects Liquefaction Susceptibility Bivariate statistical methods Emilia seismic sequence Multivariate statistical methods
Pedagogical Context
Citation
Lanfredi, Sofia, C., Oliveira, Sérgio, Pereira, Susana, Zêzere, José, & Corsini, A. (2018). A comparison between bivariate and multivariate methods to assess susceptibility to liquefactionrelated coseismic surface effects in the Po Plain (Northern Italy). Geomatics, Natural Hazards and Risk, 9(1), 108-126. https://doi.org/10.1080/19475705.2017.1411401
Publisher
Taylor & Francis