A Method to Identify Wildfire Ignition Points andPropagation Durations from Burn Scars Using GeneticAlgorithms
Thank you for choosing Automatic Translation. Currently we are offering translations from English into French and German, with more translation languages to be added in the near future. Please be aware that these translations are generated by a third party AI software service. While we have found that the translations are mostly correct, they may not be perfect in every case. To ensure the information you read is correct, please refer to the original article in English. If you find an error in a translation which you would like to bring to our attention, it would help us greatly if you let us know. We can correct any text or section, once we are aware of it. Please do not hesitate to contact our webmaster to let us know of any translation errors.
Abstract:
A critical research area regarding wildfire modelling often overlooked is the task of find-ing where a wildfire started and how long that wildfire burned. A literature review revealedthat there are no automated methods with the goal of estimating the location of ignitionpoints and propagation duration of a wildfire from a burn scar.
This paper describes a novel method called the Wildfire Source Genetic Algorithm (WSGA) which can estimate the ignition points and the propagation duration of a wildfire, given the wildfire’s burn scar and environmental conditions used as input for a forward running wildfire simulator.This paper uses twenty input burn scars generated from a wildfire simulator to validate theWSGA, as their ignition points and propagation durations are known. The WSGA generates sets of ignition points and propagation durations, which are then simulated and com-pared to the input burn scar.
The ignition points and propagation durations of the WSGA seeded burn scars that most closely resemble the input burn scar are iteratively modified using a genetic algorithm to seed wildfires that more closely resemble the input burn scar.
The ignition points and propagation duration of the best fitting WSGA seeded burn scar iscompared to the inputted burn scar by evaluating two measures of error developed in this paper called the relative distance error and relative simulation duration error.
The WSGA had a relative distance error of 0 to 1.25 times the diameter of the inputted burn scar.Lower errors were associated with larger wildfires. The WSGA had a relative simulation duration error of 0.0006 to 0.49 times the propagation duration of the input burn scar.
Download / Read entire paper here
