The Role of Field Measurements of Fine Dead Fuel Moisture Content in the Canadian Fire Weather Index System—A Study Case in the Central Region of Portugal

Author:

Alves Daniela1ORCID,Almeida Miguel1,Reis Luís23ORCID,Raposo Jorge3ORCID,Viegas Domingos Xavier1

Affiliation:

1. Univ Coimbra, ADAI, Department of Mechanical Engineering, Rua Luís Reis Santos, Pólo II, 3030-788 Coimbra, Portugal

2. ISEC Lisboa—Higher Institute of Education and Sciences, Alameda das Linhas de Torres 179, 1750-142 Lisbon, Portugal

3. Ci2—Smart Cities Research Center, Polytechnic Institute of Tomar (Abrantes Higher School of Technology), 2300-313 Tomar, Portugal

Abstract

The Canadian Fire Weather Index System (CFWIS), empirically developed for forests in Canada, estimates the fuel moisture content (mf) at different depths and loads through meteorological parameters. While it is often suggested that adapting an existing fire danger rating system like CFWIS for a new environment requires developing new relationships or modifying existing ones, it is worth considering if such adaptations are always necessary. Based on a dataset of field measurements for surface litter (Pinus pinaster) carried out in the central region of Portugal (2014–2023), we propose a correction of mf based on the Fine Fuel Moisture Code (FFMC) of the CFWIS. This moisture correction was used to determine the Initial Spread Index (ISI) directly and, subsequently, the Fire Weather Index (FWI). Fire records from the study region were used to analyze the performance of the corrected indices. We found that the moisture correction led to higher values and potentially more accurate indices under dry conditions but did not provide a significant improvement in predicting the number of fires and burned areas compared to the original indices. The results suggest that, in relation to fire activity, the CFWIS is sufficiently robust to variations in the fuel moisture content in the study region.

Funder

FCT—Fundação para a Ciência e a Tecnologia

SmokeStorm

European Union’s Horizon 2020 research and innovation program

Publisher

MDPI AG

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