Simulations of flow-like landslides invading urban areas: a cellular automata approach with SCIDDICA

Lupiano, Valeria; Machado, Guillermo; Molina, Lorena; Crisci, Gino Mirocle; Gregorio, Salvatore Di

doi:10.1007/s11047-017-9632-3

Cited by 8 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 LLUNPIY/3r model for lahar simulation LLUNPIY (Lahar modelling by Local rules based on an UNderlying PIck of Yoked processes; llunp'iy means flood in the Quechua language) is a model for simulating secondary and primary lahars according to MCA methodology applied to a complex system, whose evolution may be mainly specified in terms of local interaction. MCA features of SCIDDICA-SS3 (Avolio et al, 2013) and SCIDDICA-SS2 (Avolio et al, 2008;Lupiano et al, 2016Lupiano et al, , 2017 are inherited by LLUN-PIY; LLUNPIY for secondary lahars is extensively defined in Machado et al (2015b). Here only the features of the model, which were applied in the study cases, are reported (reduced version LLUNPIY/3r from SCIDDICA-SS2).…”

Section: The 2005 and 2008 Secondary Lahars Of Vascún Valleymentioning

confidence: 99%

See 1 more Smart Citation

From examination of natural events to a proposal for risk mitigation of lahars by a cellular-automata methodology: a case study for Vascún valley, Ecuador

Lupiano

Chidichimo

Machado

et al. 2020

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. Lahars are erosive floods, mixtures of water and pyroclastic detritus, known for being the biggest environmental disaster and causing a large number of fatalities in volcanic areas. Safety measures have been recently adopted in the threatened territories by constructing retaining dams and embankments in key positions. More disastrous events could be generated by the difficulty of maintaining these works in efficiency and for the changed risk conditions originating from their presence and the effects of their functioning. LLUNPIY/3r, a version of the cellular-automaton model LLUNPIY for lahar simulations, is presented. The growing frequency of lahars in the Vascún valley of Tungurahua volcano (Ecuador), probably due to the effects of the climatic change, has recently produced smaller and less dangerous events, sometimes favored by the collapse of ponds generated by small landslides. An investigation is performed here in order to reproduce such situations in a controlled way by the use of LLUNPIY/3r simulations. Using precise field data, points are individuated where dams by backfill, which are easy to collapse, can produce the formation of ponds; LLUNPIY/3r simulations permit projecting the triggering of small lahars by minor rainfall events or projecting, in the case of more rainfall, the anticipation of lahar detachment, avoiding simultaneous and dangerous confluence with other lahars.

show abstract

Section: The 2005 and 2008 Secondary Lahars Of Vascún Valleymentioning

confidence: 99%

“…A further achievement is the extension of LLUNPIY for modeling the flows in the urbanized area, as in the last versions of SCIDDICA (Lupiano et al, 2016(Lupiano et al, , 2017.…”

Section: Conclusion and Commentsmentioning

confidence: 99%

From examination of natural events to a proposal for risk mitigation of lahars by a cellular-automata methodology: a case study for Vascún valley, Ecuador

Lupiano

Chidichimo

Machado

et al. 2020

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…LLUNPIY (Lahar modelling by Local rules based on an UNderlying PIck of Yoked processes, "llunp'iy" means flood in the Quechua language) is a model for simulating secondary and primary lahars according to MCA methodology applied to complex system, whose evolution may be mainly specified in terms of local interaction. MCA features of SCIDDICA-SS3 (Avolio et al, 2013) and SCIDDICA-SS2 (Avolio et al, 2008;Lupiano et al, 2016;Lupiano et al, 2017) are inherited by LLUNPIY; LLUNPIY for secondary lahars is extensively defined in Machado et al (2015b), here are reported only the features of the model, that were applied in the study cases (reduced version LLUNPIY/3r from SCIDDICA-SS2), where the initial phase is abrupt, it is given by the temporary pond collapse without water percolation and detachment subsequent to water inclusion, furthermore in the simulation of real and hypothesized events, all the lahars end into the Rio Pastaza, so the last phase of lahar deposition is omitted. LLUNPIY modelling of water percolation and water extrusion with pyroclastic debris deposition can be found also in Machado (2015c).…”

Section: Llunpiy Model For Lahar Simulationmentioning

confidence: 99%

“…A further achievement is the extension of LLUNPIY for modelling the flows in the urbanized area as in the last versions of SCIDDICA (Lupiano et al, 2016(Lupiano et al, , 2017.…”

Section: Conclusion and Commentsmentioning

confidence: 99%

“…Simulations of flow-like landslides were performed by several versions of the MCA model SCIDDICA since 1987 for both subaerial and subaqueous debris/granular/mud flows (e.g., Barca et al, 1987;Avolio et al 2008;Mazzanti et al, 2010;Avolio et al 2013;Lupiano et al, 2014;Lupiano et al, 2015a;Lupiano et al, 2015b;Lupiano et al, 2015c;Lupiano et al, 2017). Simulations of primary and secondary lahars were performed by the MCA model LLUNPIY (Machado et al, 2014;Machado et al, 2015a;Machado et al, 2015b;Chidichimo et al, 2016).…”

mentioning

confidence: 99%

See 1 more Smart Citation

From examination of natural events a proposal for risk mitigation of lahars by a cellular automata methodology: a case study for Vascún valley, Ecuador

Lupiano¹,

Chidichimo²,

Machado³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. Lahars are erosive floods, mixtures of water and pyroclastic deposits, they look the biggest environmental disaster as number of fatalities in the volcanic areas. Security measures have been recently adopted in the threatened territories, by constructing retaining dams and embankments in key positions. Such solutions could involve a strong environmental impact for the works and the continuous accumulation of volcanic deposits, such that equilibrium conditions could lack far, triggering more disastrous events. An improved version of the Cellular Automaton model LLUNPIY for lahars simulations is presented. The growing frequency of lahars, maybe for the climatic change, in the Vascún Valley of Tungurahua Volcano, Ecuador has recently produced smaller and less dangerous events, sometimes favoured by the collapse of temporary ponds, generated by small landslides. An investigation is here performed in order to reproduce such situations in controlled way by the use of LLUNPIY simulations. Using precise field data, points are individuated where dams by backfills, easy to collapse, can produce momentary ponds; LLUNPIY simulations permit to project triggering of small lahars by minor rainfall events or to project in the case of larger rainfalls the anticipation of lahar detachment, avoiding simultaneous and dangerous confluence with other lahars.

show abstract

Earthquake-triggered landslide susceptibility in Italy by means of Artificial Neural Network

Amato

Fiorucci

Martino

et al. 2023

Bull Eng Geol Environ

View full text Add to dashboard Cite

The use of Artificial Neural Network (ANN) approaches has gained a significant role over the last decade in the field of predicting the distribution of effects triggered by natural forcing, this being particularly relevant for the development of adequate risk mitigation strategies. Among the most critical features of these approaches, there are the accurate geolocation of the available data as well as their numerosity and spatial distribution. The use of an ANN has never been tested at a national scale in Italy, especially in estimating earthquake-triggered landslides susceptibility. Based on the statistics deductible from the most up-to-date national inventory of earthquake-induced ground effects, i.e. the CEDIT catalogue, it results that over 56% of the ground effects triggered by earthquakes in Italy are represented by landslides. Therefore, a landslide dataset with such high geolocation precision was suitable to evaluate the efficiency of an ANN to explain the distribution of landslides over the Italian territory. An ex-post evaluation of the ANN-based susceptibility model was also performed, using a sub-dataset of historical data with lower geolocation precision. The ANN training highly performed in terms of spatial prediction, by partitioning the Italian landscape into slope units.The obtained results returned a distribution of potentially unstable slope units with maximum concentrations primarily distributed in the central-northern Apennines and secondarily in the southern Apennines. Moreover, the Alpine sector clearly appeared to be divided into two areas, a western one with relatively low susceptibility to earthquake-triggered landslides and the eastern sector with a higher susceptibility. However, the scale of the analysis carried out to train the ANN does not allow it to be applied for planning purposes or for seismic microzonation studies, for which training on a smaller spatial scale will be required.

show abstract

Simulations of flow-like landslides invading urban areas: a cellular automata approach with SCIDDICA

Cited by 8 publications

References 25 publications

From examination of natural events to a proposal for risk mitigation of lahars by a cellular-automata methodology: a case study for Vascún valley, Ecuador

From examination of natural events to a proposal for risk mitigation of lahars by a cellular-automata methodology: a case study for Vascún valley, Ecuador

From examination of natural events a proposal for risk mitigation of lahars by a cellular automata methodology: a case study for Vascún valley, Ecuador

Earthquake-triggered landslide susceptibility in Italy by means of Artificial Neural Network

Contact Info

Product

Resources

About