Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area

Li Jing; Yu Qian; Cui Tiejun

doi:doi:10.11648/j.sd.20170506.20

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Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area

Li Jing, Yu Qian, Cui Tiejun

Published in Science Discovery (Volume 5, Issue 6)

Received: 16 November 2017 Published: 21 November 2017

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Abstract

Analyze the risk of forest fire and its influencing factors is of great significance, which can provide scientific basis for forecasting and controlling forest fires, so as to reduce economic losses and casualties. Based on vegetation index data and meteorological data from May 13 to 22, 2017, the forest risk rating was calculated using the evaluation criteria of forest fire hazard in Daxing'anling Area, and then the influencing factors of fire were analyzed. The results show that the reason for the spring fire in Daxing'anling Area is that the spring temperature is gradually increasing, but the precipitation does not increase synchronously, and thus resulting in low air humidity and dryness. Moreover, in spring and summer alternating date, there are usually strong atmospheric activity and high wind speed, which lead the forest fire risk increasing. In this weather conditions, the forest area can easily lead to fire, and the spread of the fire is also difficult to control. However, vegetation coverage increase could reduce the risk of fire. According to this algorithm, it is possible to predict the fire risk level in the forest area so as to determine the high probability of fire occurrence area, which could provides a reference for planning fire prevention measures and reasonable flight routes of UAVs for forest administrator.

Published in	Science Discovery (Volume 5, Issue 6)
DOI	10.11648/j.sd.20170506.20
Page(s)	450-456
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Daxing'anling, Vegetation Coverage, Meteorological Factor, Forest Fire Risk Forecast

References

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[13]	Huang H-K(黄厚康), Lin J-S(林继生), Xiong Y-H(熊燕辉). 1995. An evaluation model for forest-fire risk in Guangdong Province. J Trop Meteorol(热带气象学报), 11(1):66～72(in Chinese).
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APA Style

Li Jing, Yu Qian, Cui Tiejun. (2017). Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area. Science Discovery, 5(6), 450-456. https://doi.org/10.11648/j.sd.20170506.20

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ACS Style

Li Jing; Yu Qian; Cui Tiejun. Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area. Sci. Discov. 2017, 5(6), 450-456. doi: 10.11648/j.sd.20170506.20

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AMA Style

Li Jing, Yu Qian, Cui Tiejun. Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area. Sci Discov. 2017;5(6):450-456. doi: 10.11648/j.sd.20170506.20

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@article{10.11648/j.sd.20170506.20,
  author = {Li Jing and Yu Qian and Cui Tiejun},
  title = {Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area},
  journal = {Science Discovery},
  volume = {5},
  number = {6},
  pages = {450-456},
  doi = {10.11648/j.sd.20170506.20},
  url = {https://doi.org/10.11648/j.sd.20170506.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170506.20},
  abstract = {Analyze the risk of forest fire and its influencing factors is of great significance, which can provide scientific basis for forecasting and controlling forest fires, so as to reduce economic losses and casualties. Based on vegetation index data and meteorological data from May 13 to 22, 2017, the forest risk rating was calculated using the evaluation criteria of forest fire hazard in Daxing'anling Area, and then the influencing factors of fire were analyzed. The results show that the reason for the spring fire in Daxing'anling Area is that the spring temperature is gradually increasing, but the precipitation does not increase synchronously, and thus resulting in low air humidity and dryness. Moreover, in spring and summer alternating date, there are usually strong atmospheric activity and high wind speed, which lead the forest fire risk increasing. In this weather conditions, the forest area can easily lead to fire, and the spread of the fire is also difficult to control. However, vegetation coverage increase could reduce the risk of fire. According to this algorithm, it is possible to predict the fire risk level in the forest area so as to determine the high probability of fire occurrence area, which could provides a reference for planning fire prevention measures and reasonable flight routes of UAVs for forest administrator.},
 year = {2017}
}

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TY  - JOUR
T1  - Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area
AU  - Li Jing
AU  - Yu Qian
AU  - Cui Tiejun
Y1  - 2017/11/21
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170506.20
DO  - 10.11648/j.sd.20170506.20
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 450
EP  - 456
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170506.20
AB  - Analyze the risk of forest fire and its influencing factors is of great significance, which can provide scientific basis for forecasting and controlling forest fires, so as to reduce economic losses and casualties. Based on vegetation index data and meteorological data from May 13 to 22, 2017, the forest risk rating was calculated using the evaluation criteria of forest fire hazard in Daxing'anling Area, and then the influencing factors of fire were analyzed. The results show that the reason for the spring fire in Daxing'anling Area is that the spring temperature is gradually increasing, but the precipitation does not increase synchronously, and thus resulting in low air humidity and dryness. Moreover, in spring and summer alternating date, there are usually strong atmospheric activity and high wind speed, which lead the forest fire risk increasing. In this weather conditions, the forest area can easily lead to fire, and the spread of the fire is also difficult to control. However, vegetation coverage increase could reduce the risk of fire. According to this algorithm, it is possible to predict the fire risk level in the forest area so as to determine the high probability of fire occurrence area, which could provides a reference for planning fire prevention measures and reasonable flight routes of UAVs for forest administrator.
VL  - 5
IS  - 6
ER  -

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Author Information

Li Jing

College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
Yu Qian

College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
Cui Tiejun

College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China

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Plain Text BibTeX RIS

APA Style

Li Jing, Yu Qian, Cui Tiejun. (2017). Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area. Science Discovery, 5(6), 450-456. https://doi.org/10.11648/j.sd.20170506.20

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ACS Style

Li Jing; Yu Qian; Cui Tiejun. Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area. Sci. Discov. 2017, 5(6), 450-456. doi: 10.11648/j.sd.20170506.20

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AMA Style

Li Jing, Yu Qian, Cui Tiejun. Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area. Sci Discov. 2017;5(6):450-456. doi: 10.11648/j.sd.20170506.20

Copy | Download

@article{10.11648/j.sd.20170506.20,
  author = {Li Jing and Yu Qian and Cui Tiejun},
  title = {Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area},
  journal = {Science Discovery},
  volume = {5},
  number = {6},
  pages = {450-456},
  doi = {10.11648/j.sd.20170506.20},
  url = {https://doi.org/10.11648/j.sd.20170506.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170506.20},
  abstract = {Analyze the risk of forest fire and its influencing factors is of great significance, which can provide scientific basis for forecasting and controlling forest fires, so as to reduce economic losses and casualties. Based on vegetation index data and meteorological data from May 13 to 22, 2017, the forest risk rating was calculated using the evaluation criteria of forest fire hazard in Daxing'anling Area, and then the influencing factors of fire were analyzed. The results show that the reason for the spring fire in Daxing'anling Area is that the spring temperature is gradually increasing, but the precipitation does not increase synchronously, and thus resulting in low air humidity and dryness. Moreover, in spring and summer alternating date, there are usually strong atmospheric activity and high wind speed, which lead the forest fire risk increasing. In this weather conditions, the forest area can easily lead to fire, and the spread of the fire is also difficult to control. However, vegetation coverage increase could reduce the risk of fire. According to this algorithm, it is possible to predict the fire risk level in the forest area so as to determine the high probability of fire occurrence area, which could provides a reference for planning fire prevention measures and reasonable flight routes of UAVs for forest administrator.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area
AU  - Li Jing
AU  - Yu Qian
AU  - Cui Tiejun
Y1  - 2017/11/21
PY  - 2017
N1  - https://doi.org/10.11648/j.sd.20170506.20
DO  - 10.11648/j.sd.20170506.20
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 450
EP  - 456
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20170506.20
AB  - Analyze the risk of forest fire and its influencing factors is of great significance, which can provide scientific basis for forecasting and controlling forest fires, so as to reduce economic losses and casualties. Based on vegetation index data and meteorological data from May 13 to 22, 2017, the forest risk rating was calculated using the evaluation criteria of forest fire hazard in Daxing'anling Area, and then the influencing factors of fire were analyzed. The results show that the reason for the spring fire in Daxing'anling Area is that the spring temperature is gradually increasing, but the precipitation does not increase synchronously, and thus resulting in low air humidity and dryness. Moreover, in spring and summer alternating date, there are usually strong atmospheric activity and high wind speed, which lead the forest fire risk increasing. In this weather conditions, the forest area can easily lead to fire, and the spread of the fire is also difficult to control. However, vegetation coverage increase could reduce the risk of fire. According to this algorithm, it is possible to predict the fire risk level in the forest area so as to determine the high probability of fire occurrence area, which could provides a reference for planning fire prevention measures and reasonable flight routes of UAVs for forest administrator.
VL  - 5
IS  - 6
ER  -

Copy | Download