Precision fire hazard divisions for collective forest in southern China

XU Ai-jun; HUANG Xiao-yin; JIANG Guang-yu; SHAO Jian-long

doi:10.11833/j.issn.2095-0756.2012.01.012

Volume 29 Issue 1

Feb. 2012

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XU Ai-jun, HUANG Xiao-yin, JIANG Guang-yu, SHAO Jian-long. Precision fire hazard divisions for collective forest in southern China[J]. Journal of Zhejiang A&F University, 2012, 29(1): 65-71. doi: 10.11833/j.issn.2095-0756.2012.01.012

Citation:

XU Ai-jun, HUANG Xiao-yin, JIANG Guang-yu, SHAO Jian-long. Precision fire hazard divisions for collective forest in southern China[J]. Journal of Zhejiang A&F University, 2012, 29(1): 65-71. doi: 10.11833/j.issn.2095-0756.2012.01.012

Precision fire hazard divisions for collective forest in southern China

doi: 10.11833/j.issn.2095-0756.2012.01.012

1.
School of Information Engineering，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;
2.
School of Environmental and Resource Sciences，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;
3.
Forest Enterprise of Longquan City，Longquan 323700，Zhejiang，China

More Information

Corresponding author: XU Ai-jun
Received Date: 2011-02-26
Rev Recd Date: 2011-06-02
Publish Date: 2012-02-20

Abstract

This paper focuses on how to build the model of precision fire hazard divisions in the level of forest forest resources subcompartment. Based on 3D GIS technology and characteristics of forest fires in collective forest of southern China，this study utilized Linan City，Zhejiang Province as the experimental area. Forest fire factors were divided into 11 indexes from the three categories （social and economic factors，forestry characteristics，and meteorological characteristics） and weighted for analysis. Next，three eigenvectors （one for each category） were created to build a nonlinear mathematical model called precision fire hazard divisions for forests. Then，the model was used to optimize and test forest fire hazard divisions with the least squares. Results showed that experimental and theoretical values of error were less than 0.1. Thus，in the experimental area this model and the fire occurrence history matched.［Ch，1 fig. 5 tab. 13 ref.］
- forest protection,
- forest fires,
- fire hazard divisions,
- precision classification model,
- least squares,
- geographic informatim system

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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

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Precision fire hazard divisions for collective forest in southern China

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

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

3. Forest Enterprise of Longquan City，Longquan 323700，Zhejiang，China

Corresponding author: XU Ai-jun

Received Date: 2011-02-26

Rev Recd Date: 2011-06-02

Publish Date: 2012-02-20

Key words:

Abstract: This paper focuses on how to build the model of precision fire hazard divisions in the level of forest forest resources subcompartment. Based on 3D GIS technology and characteristics of forest fires in collective forest of southern China，this study utilized Linan City，Zhejiang Province as the experimental area. Forest fire factors were divided into 11 indexes from the three categories （social and economic factors，forestry characteristics，and meteorological characteristics） and weighted for analysis. Next，three eigenvectors （one for each category） were created to build a nonlinear mathematical model called precision fire hazard divisions for forests. Then，the model was used to optimize and test forest fire hazard divisions with the least squares. Results showed that experimental and theoretical values of error were less than 0.1. Thus，in the experimental area this model and the fire occurrence history matched.［Ch，1 fig. 5 tab. 13 ref.］

Precision fire hazard divisions for collective forest in southern China

doi: 10.11833/j.issn.2095-0756.2012.01.012

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

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