摘要
以帽儿山地区蒙古栎凋落叶的含水率、载量和床层高度为控制变量,模拟野外凋落叶床层状态,进行了100次平地无风条件下的室内点烧试验,分析含水率、载量和床层高度对火焰长度和驻留时间的影响,并建立了多元线性预测模型.结果表明:含水率与火焰长度呈极显著线性负相关(P<0.01),与驻留时间的线性关系并不显著(P>0.05);载量、床层高度与火焰长度和驻留时间均呈极显著线性正相关(P<0.01).床层高度与含水率、载量的交互作用对火焰长度有显著影响;含水率与载量、床层高度的交互作用对驻留时间有显著影响.火焰长度预测模型的预测效果较好,能解释火焰长度83.3%的变异,平均绝对误差为7.8cm,平均相对误差为16.2%;驻留时间预测模型的效果略差,仅能解释驻留时间54%的变异,平均绝对误差为9.2s,平均相对误差为18.6%.
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 con- ducted 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 correla- tion 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 pre- diction 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%.
出处
《应用生态学报》
CAS
CSCD
北大核心
2012年第11期3149-3156,共8页
Chinese Journal of Applied Ecology
基金
林业公益性行业科研专项(200804002)
教育部新世纪优秀人才支持计划项目(NCET-10-0278)
中央高校基本科研业务费专项(DL09CA15)资助
关键词
火行为
火焰长度
驻留时间
含水率
载量
床层高度
fire behavior
flame length
residence time
moisture content
load
fuel bed depth.