Fundamental and Experimental Studies to Predict the Propagation of Forest Fires

预测森林火灾蔓延的基础和实验研究

• 批准号: 01460231
• 负责人: KISHIHARA N.
• 金额: $ 3.01万
• 依托单位: Saga University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1989
• 资助国家: 日本
• 起止时间: 1989 至 1991
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-01460231/
• 关键词: Forest fire; Stem-bark char; fuel velocity; Wind tunnel; Landsat Data; hazard map; GIS; Unsupervised Classification; 風向・風速; 風速推定式; ギリシア林野火災; 林野火災の延焼予測; 片面燃焼の数値解析; 火災の風洞実験; 流れのシュミレ-ション; 林野火災動態図; 林野火災大規模化の要因解析

This research is a continuation of the previous work carried out on "Basic research on the mechanism of large forest fires". A grant for this was received by the Monbusho - Aid for Scientific Research(b). Emphasis of this research was given to ;1. To develop a method to generate an accurate fire damage severity map, a procedure to estimate the state of regeneration with time, and development of a data overlaying method to investigate the influence of topography on forest fire.2. To quantify the wind velocity and wind direction at the time of the fire, which has a great impact on forest fire studies. Also, determination of a procedure to predict the propagation of forest fires.The acquisition of aerial photographs before and after a fire is not always possible. Therefore, above 1, was attempted with Landsat data. Analysis was done on typical satellite data classification methods, and a new method was proposed. Applicability of this new method was investigated by classifying fire damaged area. This research work was recognized, and included in the data base on "Satellite Data Classification Methods" (No. 32), at the Remote Sensing Technology Center (RESTEC). Further, using a vegetation index (NDVI), which was calculated for temporal and overlaid Landsat data, changes that have been occurred after the fire incident in the damaged area were identified. The results of these analysis were compiled, and submitted as a Ph. D. dissertation by Samarakoon. In the above 2, on laboratory and field experiments, an equation was developed to estimate the wind velocity and wind direction athe time of the fire, using stem - bark char remained after the fire. Also, using laboratory and field experiments the coefficients in the Rothermels fire propagation equation were modified, and a new equation was proposed for the operational use in Japan. A doctoral thesis by lnoue is in the compilation stage with the results of these research works.

这项研究是对先前对“大型森林大火机制的基础研究”进行的延续。 Monbusho的科学研究援助（B）收到了这笔赠款。这项研究的重点是; 1。为了开发一种生成准确的火灾损害严重程度图的方法，这是一种随时间估算再生状态的程序，以及开发数据叠加方法以研究地形对森林火灾的影响。2。为了量化大火时的风速和风向，这对森林消防研究产生了很大的影响。同样，确定预测森林大火传播的程序。并非总是有可能在火灾之前和之后获取航拍照片。因此，使用Landsat数据以上试图使用1。对典型的卫星数据分类方法进行了分析，并提出了一种新方法。通过对火灾损坏的区域进行分类来研究这种新方法的适用性。这项研究工作被认可，并包括在遥感技术中心（RESTEC）的“卫星数据分类方法”（第32号）的数据库中。此外，使用针对时间和覆盖的Landsat数据计算的植被指数（NDVI），确定了在损坏区域发生火灾发生后发生的变化。这些分析的结果被编译为samarakoon的博士学位。在上述2中，在实验室和野外实验上，开发了一个方程式来估计风速和风向a火的时间，使用茎 - 树皮char在大火后仍保留。同样，使用实验室和现场实验，修改了Rothermels火灾传播方程中的系数，并提出了一个新方程式，以供日本运营使用。 Lnoue的博士学位论文正处于这些研究工作的结果的汇编阶段。

项目成果

井上 章二: "林野火災延焼地域内の風向・風速の動向ー山焼きを利用した現地実験ー" 日本林学誌.

Shoji Inoue：“森林火灾蔓延地区的风向和风速趋势 - 利用山地燃烧进行现场实验”《日本林业杂志》。

井上 章二・小川 滋・岸原 信義: "林野火災における樹木の片面燃焼に関する基礎的・応用的研究(1)ー風洞実験による燃焼痕の解析ー" 日本林学会誌.

Shoji Inoue、Shigeru Okawa、Nobuyoshi Kishihara：“森林火灾中树木单面燃烧的基础与应用研究（1）——通过风洞实验分析燃烧疤痕”日本林学会会刊。

Samarakoon,L.: "A Method to Minimize Reference Date in Classifing Satellite Remote Sensing Data into Land Cover Classes." Proc.of Pacific Ocean Remote Sensing Conferences.(論文受理). (1992)

Samarakoon, L.：“将卫星遥感数据分类为土地覆盖类别的最小化方法”。太平洋遥感会议论文集（1992 年）。

井上 章二・小川 滋・岸原 信義: "林野火災の延焼拡大予測に関する研究(1)ーRothermelの燃焼予測式の適用ー" 日本林学会誌.

Shoji Inoue、Shigeru Okawa、Nobuyoshi Kishihara：《预测森林火灾蔓延的研究（1）——罗瑟梅尔燃烧预测公式的应用——》日本林学会会刊。

L. Samarakoon, N. Kishihara, S. Ogawa, S. Inoue and N. Ebisu: "Estimation of the severity of forest fire damage and the recovery using Landsat data." Journal of THE JAPANESE SOCIETY OF REVEGETATION TECHNOLOGY. 16, No. 2. 17-26 (1991)

L. Samarakoon、N. Kishihara、S. Okawa、S. Inoue 和 N. Ebisu：“利用 Landsat 数据估计森林火灾损失的严重程度和恢复情况。”