<tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire Simulator
PROPAGATOR is a stochastic cellular automaton model for forest fire spread simulation, conceived as a rapid method for fire risk assessment. The model uses high-resolution information such as topography and vegetation cover considering different types of vegetation. Input parameters are wind speed a...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Fire |
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| Online Access: | https://www.mdpi.com/2571-6255/3/3/26 |
| _version_ | 1827713607534641152 |
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| author | Andrea Trucchia Mirko D’Andrea Francesco Baghino Paolo Fiorucci Luca Ferraris Dario Negro Andrea Gollini Massimiliano Severino |
| author_facet | Andrea Trucchia Mirko D’Andrea Francesco Baghino Paolo Fiorucci Luca Ferraris Dario Negro Andrea Gollini Massimiliano Severino |
| author_sort | Andrea Trucchia |
| collection | DOAJ |
| description | PROPAGATOR is a stochastic cellular automaton model for forest fire spread simulation, conceived as a rapid method for fire risk assessment. The model uses high-resolution information such as topography and vegetation cover considering different types of vegetation. Input parameters are wind speed and direction and the ignition point. Dead fine fuel moisture content and firebreaks—fire fighting strategies can also be considered. The fire spread probability depends on vegetation type, slope, wind direction and speed, and fuel moisture content. The fire-propagation speed is determined through the adoption of a Rate of Spread model. PROPAGATOR simulates independent realizations of one stochastic fire propagation process, and at each time-step gives as output a map representing the probability of each cell of the domain to be affected by the fire. These probabilities are obtained computing the relative frequency of ignition of each cell. The model capabilities are assessed by reproducing a set of past Mediterranean fires occurred in different countries (Italy and Spain), using when available the real fire fighting patterns. PROPAGATOR simulated such scenarios with affordable computational resources and with short CPU-times. The outputs show a good agreement with the real burned areas, demonstrating that the PROPAGATOR can be useful for supporting decisions in Civil Protection and fire management activities. |
| first_indexed | 2024-03-10T18:39:18Z |
| format | Article |
| id | doaj.art-37721a467e7a40bfa6b7c20f3db70338 |
| institution | Directory Open Access Journal |
| issn | 2571-6255 |
| language | English |
| last_indexed | 2024-03-10T18:39:18Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fire |
| spelling | doaj.art-37721a467e7a40bfa6b7c20f3db703382023-11-20T05:56:50ZengMDPI AGFire2571-62552020-07-01332610.3390/fire3030026<tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire SimulatorAndrea Trucchia0Mirko D’Andrea1Francesco Baghino2Paolo Fiorucci3Luca Ferraris4Dario Negro5Andrea Gollini6Massimiliano Severino7CIMA Research Foundation, I-17100 Savona, ItalyCIMA Research Foundation, I-17100 Savona, ItalyCIMA Research Foundation, I-17100 Savona, ItalyCIMA Research Foundation, I-17100 Savona, ItalyCIMA Research Foundation, I-17100 Savona, ItalyItalian Department of Civil Protection, Presidency of the Council of Ministers, I-00189 Rome, ItalyItalian Department of Civil Protection, Presidency of the Council of Ministers, I-00189 Rome, ItalyCivil Protection Agency of Regione Lazio, I-00145 Rome, ItalyPROPAGATOR is a stochastic cellular automaton model for forest fire spread simulation, conceived as a rapid method for fire risk assessment. The model uses high-resolution information such as topography and vegetation cover considering different types of vegetation. Input parameters are wind speed and direction and the ignition point. Dead fine fuel moisture content and firebreaks—fire fighting strategies can also be considered. The fire spread probability depends on vegetation type, slope, wind direction and speed, and fuel moisture content. The fire-propagation speed is determined through the adoption of a Rate of Spread model. PROPAGATOR simulates independent realizations of one stochastic fire propagation process, and at each time-step gives as output a map representing the probability of each cell of the domain to be affected by the fire. These probabilities are obtained computing the relative frequency of ignition of each cell. The model capabilities are assessed by reproducing a set of past Mediterranean fires occurred in different countries (Italy and Spain), using when available the real fire fighting patterns. PROPAGATOR simulated such scenarios with affordable computational resources and with short CPU-times. The outputs show a good agreement with the real burned areas, demonstrating that the PROPAGATOR can be useful for supporting decisions in Civil Protection and fire management activities.https://www.mdpi.com/2571-6255/3/3/26wildfirecellular automatastochastic simulators |
| spellingShingle | Andrea Trucchia Mirko D’Andrea Francesco Baghino Paolo Fiorucci Luca Ferraris Dario Negro Andrea Gollini Massimiliano Severino <tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire Simulator Fire wildfire cellular automata stochastic simulators |
| title | <tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire Simulator |
| title_full | <tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire Simulator |
| title_fullStr | <tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire Simulator |
| title_full_unstemmed | <tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire Simulator |
| title_short | <tt>PROPAGATOR</tt>: An Operational Cellular-Automata Based Wildfire Simulator |
| title_sort | tt propagator tt an operational cellular automata based wildfire simulator |
| topic | wildfire cellular automata stochastic simulators |
| url | https://www.mdpi.com/2571-6255/3/3/26 |
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