Assessment and mapping of debris-flow risk in a small catchment in eastern Sicily through integrated numerical simulations and GIS

Aronica, Giuseppe Tito; Biondi, Giovanni; Brigandì, Giuseppina; Cascone, Ernesto; Lanza, Stefania; Randazzo, Giovanni

doi:10.1016/j.pce.2012.04.002

Cited by 22 publications

(17 citation statements)

References 37 publications

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“…The soil is characterized by a high content of gravel and sand, with minimum amounts of silt and clay. As far as the mechanical properties is concerned, it is important to emphasize that the resulting internal friction angle (36.3°), obtained through drained triaxial tests on three large reconstituted specimens (H = 200 mm, D = 100 mm) by assuming a null cohesion, substantially agrees with the values reported by other authors (Aronica et al, 2012;Penna et al, 2014;Peres and Cancelliere, 2014) for the same material (i.e. friction angle varying from 30°to 40°and cohesion varying from 0 to 5 kN m −2 ).…”

Section: Parameterization Of the Modelsupporting

confidence: 87%

Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study

Schilirò

Montrasio

Mugnozza

2016

Science of The Total Environment

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Section: Parameterization Of the Modelsupporting

confidence: 87%

Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study

Schilirò

Montrasio

Mugnozza

2016

Science of The Total Environment

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“…There are several factors that can trigger the occurrence of landslide disaster, such as heavy rain, sloped mountain slopes and fragile rocks and unstable soil conditions make these lands unable to hold water in the event of heavy rains. However, landslides can also be generated by volcanic or earthquake activity [1]. Through the events that have occurred in some time ago, it takes an understanding that can be used as input for local governments to give special attention to any areas that are at risk of landslides.…”

Section: Introductionmentioning

confidence: 99%

Landslide Hazard Maplies using Anbalagan Method and TOPSIS

Umbaran¹,

Isnanto²,

Nurhayati³

2018

IJCA

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Landslide disaster is the biggest disaster that can cause many casualties. to anticipate the lending land disaster that often occur in Indonesia made a public web bebasis application that can inform the area prone to landslides. The problem often faced is the identification of landslide-prone areas so that when landslide disaster occurs there are still many casualties. The purpose of this application is to determine the location of landslide-prone areas by using Anbalagan method and ranking based on TOPSIS as well as providing information to the public about areas prone to landslides. The method used in this research is anbalgan method with tehkni overlay and ranking method for TOPSIS. Making this Application using PHP programming language (Hypertext Prepocessor) and MySQL database. The results of this study is a public web that is useful to provide information to the public about avalanches that are prone to landslides.. General TermsMapping of landslide prone areas.

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“…All these characteristics make these catchment areas prone to flash flood formation as demonstrated by events that occurred around Messina in recent years. The events that took place on 25 October 2007 in the Mastroguglielmo catchment area, which is located on the Ionic sea coast, on 11 December 2008 in the Elicona catchment on the Tyrrhenian sea coast and on 1 October 2009 in the Racinazzi and Giampilieri catchments on the Ionic sea coast are examples of flash floods and debris flow events that caused not only significant economic damage to property, buildings, roads and bridges but also, in the case of the latter flash flood, the loss of human life (Aronica et al ., ). During this last event, a devastating flood was caused by very intense rainfall concentrated over eastern Sicily.…”

Section: Introductionmentioning

confidence: 99%

Debris flow damage incurred to buildings: an in situ back analysis

Jalayer

Aronica

Recupero

et al. 2016

J Flood Risk Management

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In an attempt to conduct a back analysis of the damage caused to a 19th century masonry structure due to the October 2009 flash flood/debris flow event in Scaletta Zanclea, a flood discharge hydrograph is reconstructed in the ungauged conditions. The hydrograph for the solid discharge is then estimated by scaling up the liquid volume to the estimated debris volume. The debris flow diffusion is simulated by solving the differential equations for a single-phase twodimensional (2D) flow that employs triangular mesh elements, also taking into account the channelling of the flow through the buildings. The damage to the building is modelled using 2D finite shell elements and is based on the maximum hydraulic action caused by the debris flow. The boundary conditions provided by the openings, floor slabs, orthogonal wall panels and the foundations are also modelled. The reconstruction of the event and the damage to the case-study building confirm the location of the damage induced by the event.

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Assessment and mapping of debris-flow risk in a small catchment in eastern Sicily through integrated numerical simulations and GIS

Cited by 22 publications

References 37 publications

Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study

Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study

Landslide Hazard Maplies using Anbalagan Method and TOPSIS

Debris flow damage incurred to buildings: an in situ back analysis

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