Jacques-Henri Balbi's research while affiliated with Université de Corse Pascal Paoli and other places

... The "Fire Environment Triangle" denotes the three categories of requirements that usually control fire spreads: energy, weather, and topography (He et al., 2022). The fuel type indicates the attributes that define the fuel and has logically significant consequences for governing fire-environment relationships by altering the fuel moisture level, flammable possibility, and fire attributes associated with the humidity that exists in the vegetative ecological systems (Awad et al., 2020). ...

... The recent interest in fuelbreaks over the last two decades has even given rise to similar concepts, such as wildland firefighter safety zones, shaded fuelbreaks or community defense zones ( Rossi et al., 2018;Butler, 2014;Ruiz-Mirazo et al., 2011;Agee et al., 2000). For instance, some studies (Cohen, 2000;Arno and Brown, 1989) suggested their use around buildings and development in the wildland-urban interface. ...

... An operational tool named DIMZA developed at the University of Corsica (France), which consists in coupling a physical surface fire model ( Balbi et al., 2007Balbi et al., , 2010Balbi et al., , 2018) with a flame length sub-model and an operational relationship for the safety distance is proposed to display safety zones on a map ( Bisgambiglia et al., 2017). The software architecture of this tool begins with the end user (FIGURE 6). ...

... The main purpose of this work is to comparatively assess the performance of the laboratory-developed models combined with the supplementary wind models, as well as the field-developed models, against well-controlled laboratory experiments, aiming to evaluate their ability to yield ROS values with acceptable accuracy. Similar validation studies have been performed in the past, such as a qualitative comparison of laboratoryand field-developed models against laboratory data with the effect of wind and slope combined [6]; a quantitative comparison of laboratory-based models against laboratory data on live vegetation fuel, again, with the aforementioned effects combined [7]; a broad collection of validation studies of field-developed models against field data [8]; as well as a quantitative comparison of laboratory-and field-developed models against laboratory data under the presence of wind [9]. In this context, the current work is mainly focused on the quantitative comparison of several contemporary laboratory-and field-developed models against a broad range of laboratory-scale surface fires, with a special emphasis on the effect of wind velocity on their prediction quality. ...

... The ignition of wildfire, participants' initial positions and suggested escape route. Visualizations are produced by the ForeFire fire behaviour modeller [21] and not by the mobile app. they were asked to fill a questionnaire, eliciting information about demographics, plus the questions 377 listed in Table 3. ...

... WRF-SFIRE, WFDS, MesoNH (a non-hydrostatic mesoscale atmospheric model) (Filippi et al. 2009) and Daysmoke were implemented with 'the burner method' (see Supplement B for details) to compare the impacts of wind and stability on smoke plume development. The outcomes provide an example of potential application of FASMEE data measurements for supporting smoke plume simulations from a range of model types using measured rather than simulated heat and mass generated by the fire. ...

... To predict the characteristics of forest fires, Maffei et al. (Xufeng Lin et al., 2023;Maffei, C. et al., 2021) used a combination of multispectral and thermal remote sensing data to predict forest fires. An unsteady physical model of fire spread is detailed, which describes the initiation and development of eruptive fires with an induced wind sub-model and has been researched by Balbi et al. (Balbi et al., 2014). ...

... In the next section, the equations of the steady radiative Balbi model [23][24][25][26] are presented. A flame mass balance leads to the addition of an induced wind sub-model to the simplified physical model and the steady solutions are obtained. ...

... The first was by Albini in 1981 [10], which was improved on by Nelson Jr. and co-authors, in 2012, by including entrainment [5]. A further approach was proposed by Marcelli et al. [11] based on radiative flux, with flame height defined as the height of the equivalent radiant panel. Another model, based on radiation, considers moisture content and energy losses, and was proposed by Ferragut and collaborators [12]. ...

... The main goal of the work conducted by Chatelon et al. (2011) is to build a simplified and closed physical model for surface fire spread, which allows to predict the accurate conditions of eruption occurrence and development. In the authors' opinion, the phenomenon involved in a fire eruption occurrence is the same than the one pointed up by Viegas, called here induced wind. ...