Evaluation and optimization methods of forest fire monitoring resources allocation

HUANG Xiao-yin; XU Ai-jun; ZHANG Chen-hui

doi:10.11833/j.issn.2095-0756.2011.04.010

Volume 28 Issue 4

Aug. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2011 > 28(4): 583-589

HUANG Xiao-yin, XU Ai-jun, ZHANG Chen-hui. Evaluation and optimization methods of forest fire monitoring resources allocation[J]. Journal of Zhejiang A&F University, 2011, 28(4): 583-589. doi: 10.11833/j.issn.2095-0756.2011.04.010

Citation:

HUANG Xiao-yin, XU Ai-jun, ZHANG Chen-hui. Evaluation and optimization methods of forest fire monitoring resources allocation[J]. Journal of Zhejiang A&F University, 2011, 28(4): 583-589. doi: 10.11833/j.issn.2095-0756.2011.04.010

Evaluation and optimization methods of forest fire monitoring resources allocation

doi: 10.11833/j.issn.2095-0756.2011.04.010

1.
School of Environmental Sciences and Resources，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;
2.
School of Information Engineering，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;
3.
Tianmu College，Zhejiang A & F University，Lin’an 311300，Zhejiang，China

More Information

Corresponding author: XU Ai-jun
Publish Date: 2011-08-20

Abstract

Based on the precise rating of forest fire dangers，the paper had a research on the evaluation and optimization of the allocation of the forest fire monitoring resources with three-dimensional spatial analysis technology to evaluate the rationality of the allocation of the forest fire monitoring resources through the indicators including monitor rate，blind spot rate，repetition rate and etc. The monitoring resources were optimized based on these indicators. Taking Banqiao Town of Linan City as an example，the research had a quick extraction of mountain peaks through DEM. On the basis of the regional forest fire danger rating，visual domain and overlay analysis of each mountain peak was conducted. Under the situation of the given monitoring resources，it calculated this towns monitor rate，blind spot rate，repetition rate，monitor rate of high fire risk areas and other indicators. According to the pre-set parameters，it optimized the allocation of the monitoring resources，making resources allocation more scientific，reasonable and effective.［Ch，2 fig. 5 tab. 9 ref.］
- forest protection,
- forest fires,
- monitoring resources,
- mountain peak extraction,
- viewshed analysis,
- allocation optimization

Relative Article

[1]	YE Bihuan, LI Haibo, YE Weibang, CHEN Youwu. Sequence analysis of COⅠ, COⅡ, Cytb and 28S gene fragments from Apriona swainsoni larvae . Journal of Zhejiang A&F University, 2020, 37(2): 303-310. doi: 10.11833/j.issn.2095-0756.2020.02.015
[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]	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
[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]	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
[9]	JU Yun-wei, FAN Pei-feng, XI Yue-ming, XUE Zhong-guan. Marigold （Tagetes erecta） extracts to kill Bursaphelenchus xylophilus . Journal of Zhejiang A&F University, 2010, 27(2): 316-319. doi: 10.11833/j.issn.2095-0756.2010.02.026
[10]	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
[11]	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
[12]	MA Liang-jin, WU Mei-qing, SU Xiu, CHEN An-liang, ZHANG Li-qin. Antifungal activity in vitro with extracts from the husk of Carya cathayensis . Journal of Zhejiang A&F University, 2009, 26(5): 620-624.
[13]	LI Shi-you, LUO Wen-biao, SHU Qing-tai, MA Chang-le, MA Ai-li, ZHANG Qiao-rong. Combustibility of 25 woody plants for selection of fire-resistant tree species in Kunming area . Journal of Zhejiang A&F University, 2009, 26(3): 351-357.
[14]	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.
[15]	SU Xiu, MA Liang-jin, CHEN An-liang, ZHANG Li-qin. Antifungal and antibacterial activity of extracts from the husk of Carya cathayensis . Journal of Zhejiang A&F University, 2008, 25(3): 355-358.
[16]	MAO Sheng-feng, ZHANG Li-qin, ZHANG Jian, LIN Hai-ping, MA Liang-jin, XU Qing-xin. Antimicrobial activity of extracts from Pinus massoniana needles . Journal of Zhejiang A&F University, 2008, 25(3): 359-362.
[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]	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.
[19]	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.
[20]	LI Tu-sheng, YANG You-ping, JIA Wei-jiang, WENG Wei-song, WAN Tong-xin, HUA Jun-jian. Designing and development of geographic information system for preventing forest fire in Zhejiang . Journal of Zhejiang A&F University, 2002, 19(3): 273-276.

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(4417) PDF downloads(1214) Cited by()

Proportional views

Evaluation and optimization methods of forest fire monitoring resources allocation

1. School of Environmental Sciences and Resources，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;

2. School of Information Engineering，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;

3. Tianmu College，Zhejiang A & F University，Lin’an 311300，Zhejiang，China

Corresponding author: XU Ai-jun

Publish Date: 2011-08-20

Key words:

Abstract: Based on the precise rating of forest fire dangers，the paper had a research on the evaluation and optimization of the allocation of the forest fire monitoring resources with three-dimensional spatial analysis technology to evaluate the rationality of the allocation of the forest fire monitoring resources through the indicators including monitor rate，blind spot rate，repetition rate and etc. The monitoring resources were optimized based on these indicators. Taking Banqiao Town of Linan City as an example，the research had a quick extraction of mountain peaks through DEM. On the basis of the regional forest fire danger rating，visual domain and overlay analysis of each mountain peak was conducted. Under the situation of the given monitoring resources，it calculated this towns monitor rate，blind spot rate，repetition rate，monitor rate of high fire risk areas and other indicators. According to the pre-set parameters，it optimized the allocation of the monitoring resources，making resources allocation more scientific，reasonable and effective.［Ch，2 fig. 5 tab. 9 ref.］

Evaluation and optimization methods of forest fire monitoring resources allocation

doi: 10.11833/j.issn.2095-0756.2011.04.010

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views