title: [Fire behavior of Mongolian oak leaves fuel bed under no-wind and zero-slope conditions. II. Analysis of the factors affecting flame length and residence time and related prediction models].
abstract: Taking fuel moisture content, fuel loading, and fuel bed depth as controlling factors, the fuel beds of Mongolian oak leaves in Maoershan region of Northeast China in field were simulated, and a total of one hundred experimental burnings under no-wind and zero-slope conditions were conducted in laboratory, with the effects of the fuel moisture content, fuel loading, and fuel bed depth on the flame length and its residence time analyzed and the multivariate linear prediction models constructed. The results indicated that fuel moisture content had a significant negative liner correlation with flame length, but less correlation with flame residence time. Both the fuel loading and the fuel bed depth were significantly positively correlated with flame length and its residence time. The interactions of fuel bed depth with fuel moisture content and fuel loading had significant effects on the flame length, while the interactions of fuel moisture content with fuel loading and fuel bed depth affected the flame residence time significantly. The prediction model of flame length had better prediction effect, which could explain 83.3% of variance, with a mean absolute error of 7.8 cm and a mean relative error of 16.2%, while the prediction model of flame residence time was not good enough, which could only explain 54% of variance, with a mean absolute error of 9.2 s and a mean relative error of 18.6%.
authors: College of Forestry, Northeast Forestry University, Harbin 150040, China. xtafktj@126.com
authors: Ji-Li
authors: JL
authors: Zhang
authors: Bo-Fei
authors: BF
authors: Liu
authors: Xue-Ying
authors: XY
authors: Di
authors: Teng-Fei
authors: TF
authors: Chu
authors: Sen
authors: S
authors: Jin
mesh_terms: D002681:China; D003198:Computer Simulation; D003247:Conservation of Natural Resources; D017753:Ecosystem; D005390:Fires; D005544:Forecasting; D008962:Models, Theoretical; D018515:Plant Leaves; D029963:Quercus / Q000254:growth & development*; D014919:Wind