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黔南地区气象因子与森林火灾发生次数之间的关系
引用本文:肖云丹,鞠洪波,张雄清,纪平.黔南地区气象因子与森林火灾发生次数之间的关系[J].林业科学,2011,47(10).
作者姓名:肖云丹  鞠洪波  张雄清  纪平
作者单位:中国林业科学研究院资源信息研究所 北京100091
基金项目:中国林业科学研究院资源信息研究所科研基金(IFRIT200804)
摘    要:对黔南区春季防火期森林火灾数据进行分析,分别引入Poisson回归模型、负二项模型、零膨胀负二项模型和Hurdle模型拟合该地区火险天气森林火灾发生数,并对这些模型进行逐步筛选。结果表明:Poisson回归模型不适用于处理过度离散的数据,负二项回归模型相对于Poisson回归模型,比较适用于过离散数据;但是对于零个数过多的数据,这2类模型拟合效果较差,零膨胀负二项模型和Hurdle模型对这类数据有很好的解决办法。零膨胀负二项模型和Hurdle模型拟合效果优于其他2种模型,而且Hurdle模型好于零膨胀负二项模型。

关 键 词:森林火灾  火险天气  Poisson回归模型  负二项模型  零膨胀负二项模型  Hurdle模型  

Relationship between Fire-Danger Weather and Forest Fire in Qiannan Area
Xiao Yundan,Ju Hongbo,Zhang Xiongqing,Ji Ping.Relationship between Fire-Danger Weather and Forest Fire in Qiannan Area[J].Scientia Silvae Sinicae,2011,47(10).
Authors:Xiao Yundan  Ju Hongbo  Zhang Xiongqing  Ji Ping
Institution:Xiao Yundan Ju Hongbo Zhang Xiongqing Ji Ping(Institute of Forest Resources Information Techniques,CAF Beijing 100091)
Abstract:In this study,based on data of the forest fire occurrence and meteorological variables in spring fireproofing period in Qiannan area,Poisson regression model,negative binomial model,zero-inflated negative binomial model and Hurdle model were respectively employed to predict the forest fires under fire-danger climate,and those models were compared with each other based on the prediction.The results showed that:Poisson regression model did not fit well into the over-dispersion data.Negative binomial distribut...
Keywords:forest fire  fire-danger weather  Poisson regression model  negative binomial model  zero-inflated negative binomial model  Hurdle model  
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