Modelling Forest Fires Using Complex Networks

Autor: Sara Perestrelo, Maria C. Grácio, Nuno A. Ribeiro, Luís M. Lopes
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Mathematical and Computational Applications, Vol 26, Iss 4, p 68 (2021)
Druh dokumentu: article
ISSN: 2297-8747
1300-686X
DOI: 10.3390/mca26040068
Popis: Forest fires have been a major threat to the environment throughout history. In order to mitigate its consequences, we present, in a first of a series of works, a mathematical model with the purpose of predicting fire spreading in a given land portion divided into patches, considering the area and the rate of spread of each patch as inputs. The rate of spread can be estimated from previous knowledge on fuel availability, weather and terrain conditions. We compute the time duration of the spreading process in a land patch in order to construct and parametrize a landscape network, using cellular automata simulations. We use the multilayer network model to propose a network of networks at the landscape scale, where the nodes are the local patches, each with their own spreading dynamics. We compute some respective network measures and aim, in further work, for the establishment of a fire-break structure according to increasing accuracy simulation results.
Databáze: Directory of Open Access Journals