基于闪电定位数据和气象数据的大兴安岭雷击火预测模型研究
王晓红 123黄艳 23张吉利 23韦睿 23刘灵 23张明远 23陈方 4

1.中国林业科学院林业新技术研究所,北京 100091;2.国家林业局哈尔滨林业机械研究所,黑龙江哈尔滨 150086;3.中国林科院寒温带林业研究中心,黑龙江哈尔滨 150086; 4.大兴安岭地区气象局,黑龙江加格达奇 165000

大兴安岭;雷击火;闪电定位数据; Logistic回归;ROC曲线

Research on daily prediction model of lightning fires in Daxing’an ling Region based on lightning location data
WANG Xiaohong1,2,3, HUANG Yan2,3, ZHANG Jili2,3, WEI Rui2,3, LIU Ling2,3, ZHANG Mingyuan2,3, CHEN Fang4

1. Research Institute for Forestry New Technology, Beijing, 100091, China; 2. Harbin Research Institute of Forestry Machinery, State Forestry Administration, Harbin 150086, Heilongjiang,China; 3. Research Center of Cold Temperate Forestry, CAF, Harbin 150086, Heilongjiang, China; 4. Daxinganling Meteorological Office of Heilongjiang Province, Jiagedaqi 165000, Heilongjiang, China

Daxing’an ling Region; lightning fire; lightning location data; Logistic regression; ROC curve

DOI: 10.14067/j.cnki.1673-923x.2017.03.007

备注

利用 2005—2011年 5—10月黑龙江省大兴安岭林区的雷击火灾、闪电气象数据和其它数据,建立用于该地区雷击火预报的二项 Logistic回归模型,并将 ROC曲线用于模型的评价。结果 表明: 2005—2011年该地区雷击火发生数量年际变化较大,相对于人为火呈上升趋势;集中发生于 5—6月,与云地闪电发生频数相关不显著 (P> 0.05)。经似然比检验,最终进入模型的变量为:前 7天 FFMC平均值、前 3天地闪次数、前 7天平均降水量。用于模型评价的 ROC曲线比较凸近左上角,曲线下面积 (AUC)为 0.888,表明模型预测效果较理想,可为大兴安岭林区的雷击火预测提供科学参考。

This paper used lightning fire data, lightning data, meteorology data and other useful data from May to October during 2005 and 2011 of Daxing’an ling Region in Heilongjiang Province, establishing Binary Logistic Regression Model to predict lightning fire in this region, and using ROC curve to evaluate the model. The results showed that lightning fires in this area had a great interannual variability between 2005 and 2011, and showing an increasing trend compared with human caused fires; mainly occurred in May and June, and not significantly correlate with the number of lightning(P> 0.05). Through likelihood ratio testing, the final variables using in the model were: previous 7 days’ average FFMC; previous 3 days’ average lightning frequency; previous 7 days’ average precipitation. The ROC curve which was used to evaluate the model was closer to the top left corner, the value of the area under the curve (AUC) was 0.888, indicating that the result of prediction simulation was desirable, and can be used to provide scientific reference for the prediction of lightning fires in Daxing’an ling Region.