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On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators
Trucchia, A.; Egorova, V.; Pagnini, G.
; Rochoux, M.C. (2019-02)
; Rochoux, M.C. (2019-02)
Many nonlinear phenomena, whose numerical simulation is not straightforward, depend on a set of parameters in a way which is not easy to predict beforehand. Wildland fires in presence of strong winds fall into this category, ...
Fire-spotting generated fires. Part I: The role of atmospheric stability
Egorova, V.; Trucchia, A.; Pagnini, G. (2019-02)
(2019-02)
This is the first part of two papers concerning fire-spotting generated fires. In this part we deal with the impact of macroscale factors, such as the atmospheric stability, and in the second part we deal with mesoscale ...
RandomFront 2.3 A physical parametrisation of fire-spotting for operational fire spread models: Implementation in WRF-Sfire and response analysis with LSFire+
Trucchia, A.; Egorova, V.; Butenko, A.; Kaur, I.; Pagnini, G. (2018-12)
(2018-12)
Fire-spotting is often responsible for a dangerous flare up in the wildfire and causes secondary ignitions isolated from
the primary fire zone leading to perilous situations. The main aim of the present research to provide ...
Concurent multi-scale physical parametrization of fire-spotting: A study on the role of macro- and meso-scale characteristics of the system
Egorova, V.; Trucchia, A.; Pagnini, G. (2018)
(2018)
The strong impact of wildfires in terms of lives and homes lost and of damage to ecosystems, calls
for an urgent improvement in the risk management. The aim of the present research is the
improvement of these software ...