森林工程2017，Vol.33Issue(5)：1-7,7.
大兴安岭不同坡位地表可燃物含水率的动态变化与建模
Dynamic Change and Modeling of Moisture Content of Surface Fuel inDifferent Slope Positions of Daxing'anling
摘要
Abstract
Daxing'anling is the forest which has the most abundant forest resources and has the most serious forest fires in China.It is of great significance for the forest fire prevention work in this area to analyze the dynamic change of meteorological elements and surface fuel moisture content,and to accurately estimate the moisture content of surface fuel moisture content to reduce the occurrence of forest fires.In this study,the surface fuel of three kinds of typical forest types(north slope Betula platyphylla,south slope Pinus sylvestris Linn,north slope Larix gmelinii)in Daxing'anling was used as the research object.The dynamic changes of surface fuel moisture content and meteorological parameters in different forest types and different slope positions(high,mid and low slope-position)were analyzed.The Person correlation coefficient between meteorological factors and surface fuel moisture content was calculated.The Nelson method,Simard method and meteorological element regression method were selected to establish the fuel moisture content prediction models.The conclusion of the study were as follows:for different forest types in the study area,the average temperature of south slope Pinus sylvestris Linn was higher than that of north slope Betula platyphylla and the average temperature of north slope Betula platyphylla was higer than that of north slope Larix gmelinii.The air humidity of north slope Betula platyphylla was higher than that of north slope Larix gmelinii and the air humidity of north slope Larix gmelinii was higher than that of south slope Pinus sylvestris Linn.The relationship between surface fuel moisture content was north slope Larix gmelinii＞north slope Betula platyphylla＞south slope Pinus sylvestris Linn.The surface fuel moisture content in three types was positively correlated with air relative humidity and the highest daily air relative humidity,and negatively correlated with air temperature and the highest daily air temperature,but had low correlation with wind speed.The determination coefficient R2 of stepwise regression model is 0.191～0.408.The determination coefficient R2 of the model which is established with the Simard method is 0.82～0.907.The determination coefficient R2 of stepwise regression model is 0.191～0.408.The Nelson and Simard methods were more suitable for the prediction of fuel moisture content in the study area.关键词
可燃物含水率/气象因子/地形因子/回归模型Key words
Fuel moisture content/meteorological factors/topographic factors/regression model分类
农业科技引用本文复制引用
宋雨,胡海清,孙龙,苏漳文..大兴安岭不同坡位地表可燃物含水率的动态变化与建模[J].森林工程,2017,33(5):1-7,7.基金项目
林业公益性行业科研专项(20144402) （20144402）
