吉林大学学报(信息科学版)

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基于时间序列的可燃物含水率指数模型的研究

杨长保, 周振超, 刘 娜, 赵振贺   

  1. 吉林大学 地球探测科学与技术学院, 长春 130026
  • 出版日期:2017-09-29 发布日期:2017-10-23
  • 通讯作者: 周振超(1992— ), 女, 黑龙江大庆人, 吉林大学硕士研究生, 主要从事林业遥感研究, (Tel)86-18186829591(E-mail)657492111@ qq. com。
  • 作者简介:杨长保(1972— ), 男, 云南鹤庆人, 吉林大学副教授, 硕士生导师, 主要从事地球探测与信息技术研究, (Tel)86-13331697295(E-mail)75764880@ qq. com
  • 基金资助:
     中国地质调查局“一带一路冶地区资源环境卫星遥感解译与应用基金资助项目(DD20160117)

Research on Prediction Model of Forest Fuel Moisture Based on Time Series

YANG Changbao, ZHOU Zhenchao, LIU Na, ZHAO Zhenhe   

  1. College of Geo鄄Exploration Science and Technology, Jilin University, Changchun 130026, China
  • Online:2017-09-29 Published:2017-10-23

摘要:  为提高预防林火发生和火灾工作预测的准确性, 研究了森林可燃物含水率与气象因子的非线性关系, 以
分析森林可燃物含水率的变化。 以哈尔滨城市林业示范基地为研究基地, 选取 3 种典型的林分中地表死可燃
物含水率作为研究对象, 在 2014 年 9 ~11 月秋季防火期内, 每周选取固定的两天时间, 从 8 ~18 点时测量, 选
取枯叶、 1 hr 枯枝和 10 hr 枯枝分类进行研究, 得到的数据运用 EXCEL2013 和 SPSS19. 0 对数据进行后续的处
理和相关性分析, 研究了秋季防火期内蒙古栎、 胡桃楸和白桦 3 种林型中可燃物含水率与气象因子的相关性分
析, 建立了非线性的指数模型。 3 种林型的可燃物含水率范围在 14% ~67%, 在非线性模型中, 得知前 1 h 与
当前时间段的相关性最高, 达到 0. 89, 白桦和蒙古栎林型的模型精度均小于 15%, 精度较好。

关键词: 气象因子, 指数模型, 时滞, 可燃物含水率

Abstract: The nonlinear relationship between forest fuel moisture and meteorological factors is an important
theoretical basis for the occurrence of forest fire and the prevention of fire. The moisture content of surface dead
fuel in three typical stands in Harbin urban city forestry demonstration base is taken as the object of study.
During the fall from September 2014 to November, the fixed two days are selected every week. The results
showed that the moisture content and meteorological factors of the combustible species in the three forest types of
Quercus mongolica, Juglans mandshurica, Betula platyphylla were studied from 8:00 to 18:00, and the dead
leaves, the 10 hr dead branches and the 1hr dead branches were selected to analyze nonlinear relationship
between moisture content and meteorological factors of materials, EXCEL 2013 and SPSS19. 0 are used on the
data for follow-up processing and correlation analysis. The results showed that: it was found that moisture of fuel
in the three forest types ranged from 14% to 67%; In the nonlinear model It is found that the correlation between
one hour ago and the current time is the highest that reaches 0. 89. In the nonlinear exponential model, the
model accuracy of Quercus mongolica and White birch was less than 15%. The accuracy of the model is better.

Key words: timelag, fuel moisture content,  meteorological factors, index model

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