The Mechanical Characterization of Pyroclastic Deposits for Landslide Early Warning Systems

Author:

Damiano Emilia1ORCID,de Cristofaro Martina1ORCID,Brunzo Antonia1,Carrieri Goffredo2,Iavazzo Luisa1,Netti Nadia3,Olivares Lucio1ORCID

Affiliation:

1. Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy

2. Italian Air Force, Viale dell’Università, 00118 Rome, Italy

3. Department of Economics, Management and Institutions, University of Napoli “Federico II”, 80138 Naples, Italy

Abstract

Broad mountainous areas in the western Campania (southern Italy), where young pyroclastic deposits extensively outcrop, frequently experience rainfall-induced slope movements of different degrees of mobility, causing heavy damage and fatalities. Such landslides cannot be easily mitigated, and the implementation of physically based early warning systems is still not able to predict the post-failure evolution of slope movements and the exposed areas at risk. This paper is devoted to overcoming this limit. To this end, the mechanical characterization of pyroclastic soil, carried out through an extensive laboratory testing program, is presented and compared with those of two other ashy soils of different depositional mechanisms. The results show that the depositional mode influences soil properties; to begin with, it affects the unsaturated shear strength, whose intercept of cohesion is up to 5 kPa higher in ashes of flow deposition than in airfall ash deposits. The saturated undrained soil response allowed for the identification of different levels of susceptibility to the liquefaction of pyroclastic deposits, which is one of the main factors governing the post-failure evolution of landslides. Gathering all the acquired information, including saturated and unsaturated soil shear strength, permeability function, and water retention curves, into a soil database, it was possible to present all data under a unitary framework. Finally, the implementation of the proposed flowchart for a simplified assessment of post-failure evolution to be employed in regional early warning systems can enhance our knowledge of the areas at risk.

Funder

Program VALERE

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference35 articles.

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