Daniela Piacentini

Prof. Daniela Piacentini

Department of Pure and Applied Sciences (DiSPeA), University of Urbino, Urbino, Italy
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2012 in Geomorphology
Verified
Journal Article
Closed access
DPDaniela Piacentini
Daniela Piacentini
FTFrancesco Troiani
Francesco Troiani
Mauro SoldatiMauro Soldati
Mauro Soldati
CNClaudia Notarnicola
Claudia Notarnicola
DSDaniele Savelli
Daniele Savelli
CSClaudia Strada
Claudia Strada

31 July 2012 in Landslides
Verified
Journal Article
Closed access
PDF file
Matteo MantovaniMatteo Mantovani
Matteo Mantovani
Stefano DevotoStefano Devoto
Stefano Devoto
Emanuele ForteEmanuele Forte
Emanuele Forte
AMArianna Mocnik
Arianna Mocnik
APAlessandro Pasuto
Alessandro Pasuto
Mauro SoldatiMauro Soldati
Mauro Soldati

8 April 2019 in Landslides
Verified
Journal Article
Closed access
PDF file
Salvatore MartinoSalvatore Martino
Salvatore Martino
FBF. Bozzano
F. Bozzano
PCP. Caporossi
P. Caporossi
DDD. D’aNgiò
D. D’aNgiò
MSM. Della Seta
M. Della Seta
CVC. Varone
C. Varone

1 June 2014 in Geomorphology
Verified
Journal Article
Closed access
FTFrancesco Troiani
Francesco Troiani
Jorge Pedro GalveJorge Pedro Galve
Jorge Pedro Galve
DPDaniela Piacentini
Daniela Piacentini
MSMarta Della Seta
Marta Della Seta
JGJesús Guerrero
Jesús Guerrero

21 May 2015 in Natural Hazards
Verified
Journal Article
Open access
PDF file
DPDaniela Piacentini
Daniela Piacentini
Stefano DevotoStefano Devoto
Stefano Devoto
Matteo MantovaniMatteo Mantovani
Matteo Mantovani
APAlessandro Pasuto
Alessandro Pasuto
Mariacristina PrampoliniMariacristina Prampolini
Mariacristina Prampolini
Mauro SoldatiMauro Soldati
Mauro Soldati
Persistent Scatterers Interferometry (PSI) techniques are widely employed in geosciences to detect and monitor landslides with high accuracy over large areas, but they also suffer from physical and technological constraints that restrict their field of application. These limitations prevent us from collecting information from several critical areas within the investigated region. In this paper, we present a novel approach that exploits the results of PSI analysis for the implementation of a statistical model for landslide susceptibility. The attempt is to identify active mass movements by means of PSI and to avoid, as input data, time-/cost-consuming and seldom updated landslide inventories. The study has been performed along the northwestern coast of Malta (central Mediterranean Sea), where the peculiar geological and geomorphological settings favor the occurrence of a series of extensive slow-moving landslides. Most of these consist in rock spreads, evolving into block slides, with large limestone blocks characterized by scarce vegetation and proper inclination, which represent suitable natural radar reflectors for applying PSI. Based on geomorphometric analyses and geomorphological investigations, a series of landslide predisposing factors were selected and a susceptibility map created. The result was validated by means of cross-validation technique, field surveys and global navigation satellite system in situ monitoring activities. The final outcome shows a good reliability and could represent an adequate response to the increasing demand for effective and low-cost tools for landslide susceptibility assessment.

1 August 2008 in Geodinamica Acta
Verified
Journal Article
Open access
FGFrancisco Gutiérrez
Francisco Gutiérrez
MOMaria Ortuño
Maria Ortuño
PLPedro Lucha
Pedro Lucha
JGJesús Guerrero
Jesús Guerrero
EAEnrique Acosta
Enrique Acosta
Mauro SoldatiMauro Soldati
Mauro Soldati
A sackung scarp has been investigated by trenching in the central Spanish Pyrenees. This feature is located 18 km to the SW of the North Maladeta Fault, which is the most probable source of the Mw 5.3 Vielha earthquake of 1923. Three displacement events have been inferred for the trenched sackung based on colluvial wedge stratigraphy and fault truncation. The increasing amount of deformation in each successive faulting event may be related to the progressive weakening of the slope through time. A minimum vertical slip rate of 0.19 mm/yr has been calculated for the sackung scarp. Several arguments suggest that the episodic displacement of the analysed sackung is controlled by strong seismic shaking: (a) Spatial association of the sackung features with the North Maladeta Fault; (b) Episodic displacement with a millennial recurrence (5.6 kyr) consistent with the expectable earthquake recurrence interval for a low slip rate fault, like the neighbouring North Maladeta Fault. Demonstrating in future investigati...