Evaluating the 10% wind speed rule of thumb for estimating a wildfire's forward rate of spread against an extensive independent set of observations

被引:28
作者
Cruz, Miguel G. [1 ]
Alexander, Martin E. [2 ]
Fernandes, Paulo M. [3 ,4 ]
Kilinc, Musa [5 ]
Sil, Angelo [5 ,6 ]
机构
[1] CSIRO, GPO Box 1700, Canberra, ACT 2601, Australia
[2] Wild Rose Fire Behav, 180-50434 Range Rd 232, Leduc County, AB T4X 0L1, Canada
[3] Univ Tras Os Montes & Alto Douro, Ctr Invest & Tecnol Agroambientais & Biol, P-5000801 Vila Real, Portugal
[4] ForestWISE Collaborat Lab Integrated Forest & Fir, P-5000801 Vila Real, Portugal
[5] Country Fire Author, Fire & Emergency Management, POB 701, Mt Waverley, Vic 3149, Australia
[6] Ctr Invest Biodiversidade & Recursos Genet, Campus Agrario de Vairao, P-4485661 Vairao, Portugal
关键词
Crown fire; Fine dead fuel moisture content; Fire behaviour; Fire prediction; Fire propagation; Fire weather; Fuel type; Model error; CROWN FIRE RATE; WILDLAND FIRE; BLACK SATURDAY; BEHAVIOR; MODELS; FOREST; PREDICTION; SURFACE; MOISTURE; RADAR;
D O I
10.1016/j.envsoft.2020.104818
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The prediction of wildfire rate of spread and growth under high wind speeds and dry fuel moisture conditions is key to taking proactive actions to warn and in turn protect communities. We used two datasets of wildfires spreading under critical fire weather conditions to evaluate an existing rule of thumb that equates the forward rate of fire spread to 10% of the average open wind speed. The rule predicted the observed rates of fire spread with an overall mean absolute error of 1.7 km h(-1). The absolute error magnitude was consistent across the range in observed rates of fire spread, resulting in a reduction in percent error with an increase in spread rates. Mean absolute percent errors close to 20% were obtained for wildfires spreading faster than 2.0 km h(-1). The implications of model errors in the forecasting of fire spread with respect to community warning and safety are discussed.
引用
收藏
页数:15
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