• Publications
  • Influence
A Cellular Automata model for soil erosion by water
Abstract A Cellular Automata model for soil erosion by water, SCAVATU, was developed. It involves a larger number of states in comparison to the previous models, including altitude, water depth,Expand
  • 112
  • 5
  • PDF
Zooplankton diversity of a protected and vulnerable wetland system in southern South America (Llancanelo area, Argentina)
In arid regions, climatic conditions exert a great control on the aquatic systems present, but recent changes in climate have produced an enhanced salinization of the aquatic environments locatedExpand
  • 12
  • 2
OpenMP parallelization of the SCIARA Cellular Automata lava flow model: performance analysis on shared-memory computers
TLDR
This paper shows performance results of the parallelization of a well-known CA model for simulating lava flows – the SCIARA model – in a shared memory environment by means of OpenMP, an Application Programming Interface which supports multi-platform shared-memory parallel programming. Expand
  • 26
  • 1
  • PDF
Applying genetic algorithms for calibrating a hexagonal cellular automata model for the simulation of debris flows characterised by strong inertial effects
Abstract In modelling complex a-centric phenomena which evolve through local interactions within a discrete time-space, cellular automata (CA) represent a valid alternative to standard solutionExpand
  • 64
  • 1
A macroscopic collisional model for debris-flows simulation
TLDR
We present a family of Cellular Automata models for the simulation of flow-type landslides. Expand
  • 52
  • 1
Predicting the impact of lava flows at Mount Etna, Italy
This work was sponsored by the Italian Ministry for Education, University and Research, FIRB project n° RBAU01RMZ4 “Lava flow simulations by Cellular Automata”, and by the National Civil DefenceExpand
  • 55
  • 1
  • PDF
Parallel genetic algorithms for optimising cellular automata models of natural complex phenomena: An application to debris flows
TLDR
An application of a parallel GA to the optimisation of a cellular automata model for the simulation of debris flows characterised by strong inertial effects is presented. Expand
  • 65
  • 1
Lava Flow Hazard Evaluation Through Cellular Automata and Genetic Algorithms: an Application to Mt Etna Volcano
TLDR
A hybrid technique based on Cellular Automata and Genetic Algorithms has been used for modeling lava flows on Mt Etna volcano (Italy). Expand
  • 45
  • 1
Efficient application of GPGPU for lava flow hazard mapping
TLDR
The individuation of areas that are more likely to be impacted by new events in volcanic regions is of fundamental relevance for mitigating possible consequences, both in terms of loss of human lives and material properties. Expand
  • 29
  • 1
  • PDF