Realization of a simulation model for forest fire spread

SONG Li-yan; ZHOU Guo-mo; TANG Meng-ping; YU Shu-quan; ZHENG Wen-da; LIU Xue-song

Volume 24 Issue 5

Jul. 2017

Turn off MathJax

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2007 > 24(5): 614-618

SONG Li-yan, ZHOU Guo-mo, TANG Meng-ping, YU Shu-quan, ZHENG Wen-da, LIU Xue-song. Realization of a simulation model for forest fire spread[J]. Journal of Zhejiang A&F University, 2007, 24(5): 614-618.

Citation:

SONG Li-yan, ZHOU Guo-mo, TANG Meng-ping, YU Shu-quan, ZHENG Wen-da, LIU Xue-song. Realization of a simulation model for forest fire spread[J]. Journal of Zhejiang A&F University, 2007, 24(5): 614-618.

Realization of a simulation model for forest fire spread

1.
.School of Environmental Sciences and Technology , Zhejiang Forestry College , Lin' an 311300 , Zhejiang , China;
2.
School of Forestry and Biotechnology , Zhejiang Forestry College , Lin' an 311300, Zhejiang , China;
3.
.Forest Enterprise of Lin' an City , Lin' an 311300, Zhejiang , China;
4.
Forest Enterprise of Jiande City , Jiande 311600 , Zhejiang , China

Publish Date: 2004-10-20

Abstract

For decision making when fighting forest fires , it is important to quantitatively describe the behavior of a forest fire .Therefore , the purpose of this study was to achieve a dynamic simulation model for the spread of forest fires .Using GIS software , the space background of a simulation for forest fire spread was established and the initial data were originated .The fire spread model contained factors , such as terrain , weather , types of combustible materials, and point to point mode of transmission , while using Visual Basic 6.0 .Results indicated that with a given terrain , varying the initial spread rate could cause different spread patterns ;also the area consumed by the fire increased with an increasing initial velocity .Different wind speeds resulted in dissimilar sizes for a fire scene .The size of a fire scene increased with wind speed , but the shapes of the scene were similar .The highly effective sample computations , balanced formula load , and perfect disposition increased simulation precision and efficiency .[ Ch , 5 fig .12 ref .]
- forest protection,
- forest fire,
- forest fire spread model,
- simulation

Relative Article

[1]	ZHANG Heng, SUN Zijian, ZHANG Yunlin, JIN Sen, WANG Yuxia. Distance of meteorological data from test site and fine fule forecast model accuracy . Journal of Zhejiang A&F University, 2018, 35(3): 529-536. doi: 10.11833/j.issn.2095-0756.2018.03.019
[2]	WANG Kai, NIU Shukui. Research on the potential fire behavior in Jiufeng National Forest Park of Beijing based on the Rothermel Model . Journal of Zhejiang A&F University, 2016, 33(1): 42-50. doi: 10.11833/j.issn.2095-0756.2016.01.006
[3]	SHI Jingjing, ZHANG Chao, YU Shuquan, MAO Shiliang, LI Xiupeng. Forest fire weather indexes for the fire danger period in Zhejiang Province . Journal of Zhejiang A&F University, 2014, 31(2): 231-237. doi: 10.11833/j.issn.2095-0756.2014.02.011
[4]	FENG Xue, WU Dasheng, LUO Wenjian. A multi-depot emergency scheduling algorithm for forest fire prevention . Journal of Zhejiang A&F University, 2013, 30(2): 257-262. doi: 10.11833/j.issn.2095-0756.2013.02.016
[5]	JIANG Guangyu, XU Aijun, HUANG Xiaoyin, SHAO Jianlong. Optimal path algorithm for forest fire prevention with constraints . Journal of Zhejiang A&F University, 2013, 30(1): 76-82. doi: 10.11833/j.issn.2095-0756.2013.01.011
[6]	WANG Dongliang, JIN Hexian, FAN Likun, TANG Yuli. Distribution and influencing factors of three-dimensional green biomass for artificial greenbelts in sanatoriums . Journal of Zhejiang A&F University, 2013, 30(4): 529-535. doi: 10.11833/j.issn.2095-0756.2013.04.011
[7]	XU Ai-jun, HUANG Xiao-yin, JIANG Guang-yu, SHAO Jian-long. Precision fire hazard divisions for collective forest in southern China . Journal of Zhejiang A&F University, 2012, 29(1): 65-71. doi: 10.11833/j.issn.2095-0756.2012.01.012
[8]	QIN Fei-fei, TANG Li-hua. Study on synchronization tracking algorithm in remote video monitoring of forest fires based on DEM . Journal of Zhejiang A&F University, 2012, 29(6): 917-922. doi: 10.11833/j.issn.2095-0756.2012.06.017
[9]	MA Rui-sheng, YANG Bin, ZHANG Li-hui, LIU Zhi-ping. Design and implementation of a forest fire monitoring system using a miniature unmanned aerial vehicle . Journal of Zhejiang A&F University, 2012, 29(5): 783-789. doi: 10.11833/j.issn.2095-0756.2012.05.023
[10]	HUANG Xiao-yin, XU Ai-jun, ZHANG Chen-hui. Evaluation and optimization methods of forest fire monitoring resources allocation . Journal of Zhejiang A&F University, 2011, 28(4): 583-589. doi: 10.11833/j.issn.2095-0756.2011.04.010
[11]	REN Bin-bin, FENG Jiu-ying, LI Shu-hua. Developing plant landscape designs through simulation of natural plant communities in Handan . Journal of Zhejiang A&F University, 2011, 28(6): 870-877. doi: 10.11833/j.issn.2095-0756.2011.06.006
[12]	XIN Xiao-ying, JIANG Hong, ZHOU Guo-mo, YU Shu-quan, WANG Yong-he. Canadian forest fire weather index （FWI） system：a review . Journal of Zhejiang A&F University, 2011, 28(2): 314-318. doi: 10.11833/j.issn.2095-0756.2011.02.023
[13]	XU Hua-chao, LUO You-qing. Ecosystems attacked by Bursaphelenchus xylophilus：a review . Journal of Zhejiang A&F University, 2010, 27(3): 445-450. doi: 10.11833/j.issn.2095-0756.2010.03.020
[14]	QIU Jin-hong, SHEN Ming-xia, CONG Jing-hua, LI Long-guo. Monocular vision technique based real-time location of fire-point in forest . Journal of Zhejiang A&F University, 2010, 27(5): 651-658. doi: 10.11833/j.issn.2095-0756.2010.05.003
[15]	XIA Qi-biao, LI Guang-hui, YIN Jian-xin. Application of percolation theory in forest fire simulation . Journal of Zhejiang A&F University, 2009, 26(2): 233-238.
[16]	LOU Xiong-wei, FANG Lu-ming, XU Ai-jun, YE Xiang-gen. Data fusion with 3D modeling for forest fire prevention background database . Journal of Zhejiang A&F University, 2008, 25(4): 405-410.
[17]	CHEN Pei-jin, XU Ai-jun, SHAO Xiang-jun, LIU Ai-jun. Design and implementation of GIS-based forest fire assessment algorithm . Journal of Zhejiang A&F University, 2008, 25(1): 72-77.
[18]	LI Lan-ying, GAO Lan, WEN Ya-li, HUANG Shui-ling. Countermeasures and environmental influence analysis of forest diseases . Journal of Zhejiang A&F University, 2006, 23(5): 491-496.
[19]	XIE Da-yang. Plague area classification and forecast model of Ceratosphaeria phyllostachydis . Journal of Zhejiang A&F University, 2003, 20(4): 398-402.
[20]	XU Ai-jun, LI Qing-quan, FANG Lu-ming, WU Da-sheng. Study on model about forest fire forecast and prediction based on GIS . Journal of Zhejiang A&F University, 2003, 20(3): 285-288.

References
Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(1446) PDF downloads(317) Cited by()

Proportional views

Realization of a simulation model for forest fire spread

1. .School of Environmental Sciences and Technology , Zhejiang Forestry College , Lin' an 311300 , Zhejiang , China;

2. School of Forestry and Biotechnology , Zhejiang Forestry College , Lin' an 311300, Zhejiang , China;

3. .Forest Enterprise of Lin' an City , Lin' an 311300, Zhejiang , China;

4. Forest Enterprise of Jiande City , Jiande 311600 , Zhejiang , China

Publish Date: 2004-10-20

Key words:

Abstract: For decision making when fighting forest fires , it is important to quantitatively describe the behavior of a forest fire .Therefore , the purpose of this study was to achieve a dynamic simulation model for the spread of forest fires .Using GIS software , the space background of a simulation for forest fire spread was established and the initial data were originated .The fire spread model contained factors , such as terrain , weather , types of combustible materials, and point to point mode of transmission , while using Visual Basic 6.0 .Results indicated that with a given terrain , varying the initial spread rate could cause different spread patterns ;also the area consumed by the fire increased with an increasing initial velocity .Different wind speeds resulted in dissimilar sizes for a fire scene .The size of a fire scene increased with wind speed , but the shapes of the scene were similar .The highly effective sample computations , balanced formula load , and perfect disposition increased simulation precision and efficiency .[ Ch , 5 fig .12 ref .]

Realization of a simulation model for forest fire spread

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views