Integrated Risk Index (IRI) [ET] [Version 1]

The product integrates the different components of risk developed within FirEUrisk to give a synthetic view of fire risk conditions for a specific moment and area. The input data includes static data (human ignition, exposure…) and dynamic components (weather conditions, fuel moisture…). The table below includes a list of inputs. The overview figure below shows a graphical representation of the different components of risk considered in FirEUrisk. The Inputs to compute the Integrated Risk Index, listed below. Variable Units Sources TP, Temperature º C DWD-ICON7 data Pp, Precipitation mm DWD-ICON7 data WS, Wind speed m/s DWD-ICON7 data RH, Relative Humidity % DWD-ICON7 data FT, Fuel types Fuel classes FirEUrisk fuel map PNI, Probability of natural ignition 0/1000 Weather data and lightning PHI, Probability of human ignition 0/1000 Human and biophysical factors LFMC, Live fuel moisture content % DW Satellite data E, Exposure 0, 0.8, 1 WUI, land cover SEV, Value of Houses and Infrastructures €/ha Statistics CL, Climatic regions 1-2 /No-Yes Med Proxy of building materials EST, Ecosystem service values. €/ha/year Statistics EVa, Ecological values 0/1000 Cartographic & vegetation databases LEV, Potential loss of Ecological values 0/1000 Coping capacity, resistance RT, Regeneration time years Several species The integration of the different components was based on quantitative weighting, considering the relative importance of each component in terms of extreme fire risk assessment. The integrated risk index (IRI), was computed by combining the Danger (D), Exposure (E) and Vulnerability (V), with the following formula: IRI = (0.6*D + 0.4*V)*E Danger was derived from Probability of Ignition and Propagation Potential. Vulnerability was derived from estimated social damages (including housing and ecosystem services) and ecological damages (including the coping capacity of plants and their recovery potential), by estimating the reduction of values (both ecosystem services and ecological values) that would occur in case the area is burned. The conditions of that burning depend on propagation estimates, considering weather conditions and fuel characteristics, particularly on Fire Line Intensity and Flame Length, which affect the degree of estimated post-fire severity. Exposure was estimated by considering burnable covers (weight 0.8), with an additional weight for those areas with Wildland-urban interface (weight 1), having 0 the unburnable areas. Contact: Emilio Chuvieco, UAH: emilio.chuvieco@uah.es Chuvieco, E., Yebra, M., Martino, S., Thonicke, K., Gómez-Giménez, M., San-Miguel, J., Oom, D., Ramona Velea, Florent Mouillot, Juan R. Molina, Ana I. Miranda, Diogo Lopes, Michele Salis, Marin Bugaric, Mikhail Sofiev, Evgeny Kadantsev, Ioannis Gitas, Dimitris Stavrakoudis, George Eftychidis, Bar-Massada, A., Alex Neidermeier, Valerio Pampanoni, Pettinari, M.L., Arrogante, F., Ochoa, C., Moreira, B., & Viegas, D. (2023). Towards an integrated approach to wildfire risk assessment: when, where, what and how may the landscapes burn. Fire, 6, 215, https://doi.org/10.3390/fire6050215