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https://hdl.handle.net/123456789/1279| Τύπος: | Άρθρο σε επιστημονικό περιοδικό |
| Τίτλος: | Modelling fire behavior to assess community exposure in Europe: combining open data and geospatial analysis |
| Συγγραφέας: | [EL] Παλαιολόγου, Παλαιολόγος[EN] Palaiologou, Palaiologos [EL] Καλαμποκίδης, Κώστας[EN] Kalabokidis, Kostas [EN] Day, Michelle [EN] Ager, Alan [EL] Γαλατσίδας, Σπύρος[EN] Galatsidas, Spyros [EL] Παπαλάμπρος, Λάμπρος[EN] Papalampros, Lampros |
| Ημερομηνία: | 15/03/2022 |
| Περίληψη: | Predicting where the next large-scale wildfire event will occur can help fire management agencies better prepare for taking preventive actions and improving suppression efficiency. Wildfire simulations can be useful in estimating the spread and behavior of potential future fires by several available algorithms. The uncertainty of ignition location and weather data influencing fire propagation requires a stochastic approach integrated with fire simulations. In addition, scarcity of required spatial data in different fire-prone European regions limits the creation of fire simulation outputs. In this study we provide a framework for processing and creating spatial layers and descriptive data from open-access international and national databases for use in Monte Carlo fire simulations with the Minimum Travel Time fire spread algorithm, targeted to assess cross-boundary wildfire propagation and community exposure for a large-scale case study area (Macedonia, Greece). We simulated over 300,000 fires, each independently modelled with constant weather conditions from a randomly chosen simulation scenario derived from historical weather data. Simulations generated fire perimeters and raster estimates of annual burn probability and conditional flame length. Results were used to estimate community exposure by intersecting simulated fire perimeters with community polygons. We found potential ignitions can grow large enough to reach communities across 27% of the study area and identified the top-50 most exposed communities and the sources of their exposure. The proposed framework can guide efforts in European regions to prioritize fuel management activities in order to reduce wildfire risk. |
| Γλώσσα: | Αγγλικά |
| Σελίδες: | 28 |
| DOI: | 10.3390/ijgi11030198 |
| EISSN: | 2220-9964 |
| Θεματική κατηγορία: | [EL] Δασολογία[EN] Forestry |
| Λέξεις-κλειδιά: | wildfire simulations; wildland-urban interface; minimum travel time; fuel management; community fire risk; Macedonia Greece |
| Κάτοχος πνευματικών δικαιωμάτων: | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
| Όροι και προϋποθέσεις δικαιωμάτων: | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
| Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: | https://www.mdpi.com/2220-9964/11/3/198 |
| Ηλεκτρονική διεύθυνση περιοδικού: | https://www.mdpi.com/journal/ijgi |
| Τίτλος πηγής δημοσίευσης: | ISPRS International Journal of Geo-Information |
| Τεύχος: | 3 |
| Τόμος: | 11 |
| Σελίδες τεκμηρίου (στην πηγή): | Article no 198 |
| Σημειώσεις: | This research is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme “Human Resources Development, Education and Lifelong Learning 2014–2020” in the context of the project “Spatial optimization of alternative fuel treatment scenarios for managing fire risk” (MIS: 5048196). |
| Εμφανίζεται στις συλλογές: | Ερευνητικές ομάδες |
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