Scientia Silvae Sinicae ›› 2024, Vol. 60 ›› Issue (11): 107-118.doi: 10.11707/j.1001-7488.LYKX20240134
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Yongquan Ding1,2(),Xiaoxiao Li1,Fengjun Zhao1,*,Liqing Si1,Lifu Shu1,Kaida Yan1,Jianhua Zhang3,Zhijie Peng3,Nuanyang Zhou1
Received:
2024-03-08
Online:
2024-11-25
Published:
2024-11-30
Contact:
Fengjun Zhao
E-mail:953097190@qq.com
CLC Number:
Yongquan Ding,Xiaoxiao Li,Fengjun Zhao,Liqing Si,Lifu Shu,Kaida Yan,Jianhua Zhang,Zhijie Peng,Nuanyang Zhou. Forest Fire Risk Zoning of Artificial Forest Subcompartment in Saihanba Forest Farm Based on Fuel Characteristics[J]. Scientia Silvae Sinicae, 2024, 60(11): 107-118.
Table 1
Hierarchical structural model"
A层目标层 Objective layer A | B层指标层 Indexes layer B | C层影响因子层 Influencing factors layer C |
森林火险等级 Forest fire risk classification | 土地类型Land type | 乔木林地、荒山、灌木林地、湿地、其他 Woodland, barren hill, shrubland, wetland, others |
可燃物特性Fuel characteristic | 优势树种、草本盖度、灌木盖度、枯落物厚度、郁闭度、修枝、蓄积量 Dominant tree species, herb layer coverage, shrub layer coverage, thickness of litter, canopy density, pruning, stand volume | |
地形Terrain | 海拔、坡向、坡度 Altitude, aspect, slope |
Table 4
Ignition risk judgment matrix for fuel characteristic influencing factors of C layer"
影响因子 Influencing factor | 优势树种 Dominant tree species | 草本盖度 Herb coverage | 灌木盖度 Shrub coverage | 枯落物厚度 Thickness of litter | 郁闭度 Canopy density | 修枝 Pruning | 蓄积量 Stand volume |
优势树种Dominant tree species | 1 | 2 | 2 | 3 | 2 | 7 | 9 |
草本盖度Herb coverage | 1/2 | 1 | 3 | 2 | 2 | 3 | 7 |
灌木盖度Shrub layer coverage | 1/2 | 1/3 | 1 | 2 | 2 | 3 | 7 |
枯落物厚度Thickness of litter | 1/3 | 1/2 | 1/2 | 1 | 2 | 4 | 5 |
郁闭度Canopy density | 1/2 | 1/2 | 1/2 | 1/2 | 1 | 3 | 5 |
修枝Pruning | 1/7 | 1/3 | 1/3 | 1/4 | 1/3 | 1 | 3 |
蓄积量Stand volume | 1/9 | 1/7 | 1/7 | 1/5 | 1/5 | 1/3 | 1 |
Table 6
Ignition risk weight values for the influencing factors of C layer to the objective A layer"
B层指标 B layer indexes | C层影响因子 Influencing factors of C layer | 权重 Weight |
土地类型Land type | 乔木林地Woodland | 0.046 7 |
荒山Barren hill | 0.114 7 | |
灌木林地Shrubland | 0.082 8 | |
湿地Wetland | 0.020 5 | |
其他Others | 0.011 6 | |
可燃物特性 Fuel characteristic | 优势树种Dominant tree species | 0.181 6 |
草本盖度Herb layer coverage | 0.133 6 | |
灌木盖度Shrub layer coverage | 0.095 5 | |
枯落物厚度Thickness of litter | 0.077 5 | |
郁闭度Canopy density | 0.063 6 | |
修枝Pruning | 0.029 3 | |
蓄积量Stand volume | 0.014 3 | |
地形Terrain | 海拔Altitude | 0.041 0 |
坡向Aspect | 0.071 6 | |
坡度Slope | 0.015 6 |
Table 7
Ignition risk index values of C layer various influencing factors"
C层影响因子 Iinfluencing factors of C layer | 阈值/类别 Threshold/category | 重要性赋值 Importance evaluation | 引燃危险 指数 Ignition risk index value | C层影响因子 Influencing factors ofC layer | 阈值/类别 Threshold/category | 重要性赋值 Importance evaluation | 引燃危险 指数 Ignition risk index value | |
优势树种 Dominant tree species | 易燃树种 Flammable tree species | 9 | 0.068 1 | 坡向Aspect | 南坡South | 9 | 0.025 8 | |
西南坡Southwest | 7 | 0.020 0 | ||||||
灌木林 Shrub | 7 | 0.053 0 | 东南坡Southeast | 7 | 0.020 0 | |||
西坡West | 7 | 0.020 0 | ||||||
可燃树种 Combustible species | 5 | 0.037 8 | 西北坡Northwest | 5 | 0.014 3 | |||
东北坡Northeast | 5 | 0.014 3 | ||||||
难燃树种 Flameresistant species | 3 | 0.022 7 | 无坡向 Non-slope direction | 5 | 0.014 3 | |||
东坡East | 3 | 0.008 6 | ||||||
北坡North | 1 | 0.002 9 | ||||||
郁闭度 Canopy density (%) | [0,0.2) | 9 | 0.022 9 | 坡度Slope(°) | ≥35 | 9 | 0.005 6 | |
[0.2,0.4) | 7 | 0.017 8 | [25,35) | 7 | 0.004 4 | |||
[0.4,0.6) | 5 | 0.012 7 | [15,25) | 5 | 0.003 1 | |||
[0.6,0.8) | 3 | 0.007 6 | [5,15) | 3 | 0.001 9 | |||
≥0.8 | 1 | 0.002 5 | <5 | 1 | 0.000 6 | |||
灌木盖度 Shrub layer coverage (%) | >75 | 9 | 0.034 4 | 蓄积量 Stand volume/ (m3?hm?2) | ≥17.0 | 1 | 0.000 6 | |
[51,75] | 7 | 0.026 7 | [10.0,17.0) | 3 | 0.001 7 | |||
[26,50] | 5 | 0.019 1 | [5.0,10.0) | 5 | 0.002 9 | |||
[5,25] | 3 | 0.011 5 | [2.0,5.0) | 7 | 0.004 0 | |||
<5 | 1 | 0.003 8 | <2.0 | 9 | 0.005 1 | |||
草本盖度 Herb layer coverage (%) | >75 | 10 | 0.050 1 | 海拔 Altitude/m | < 120 0 | 9 | 0.014 8 | |
[51,75] | 8 | 0.039 0 | [120 0,140 0) | 7 | 0.011 5 | |||
[26,50] | 5 | 0.027 8 | [140 0,160 0) | 5 | 0.008 2 | |||
[5,25] | 3 | 0.016 7 | [160 0,180 0) | 3 | 0.004 9 | |||
<5 | 0 | 0.000 0 | ≥180 0 | 1 | 0.001 6 | |||
枯落物厚度 Thickness of litter/cm | ≥3 | 9 | 0.027 9 | 乔木林地Woodland | 0.050 2 | |||
[2,3) | 7 | 0.021 7 | ||||||
[1, 2) | 5 | 0.015 5 | 荒山 Barren hill | 0.123 3 | ||||
[0.6, 1) | 3 | 0.009 3 | ||||||
[0, 0.6) | 1 | 0.003 1 | 灌木林地Shrubland | 0.088 9 | ||||
修枝Pruning | 未修枝Unpruned | 7 | 0.020 5 | 湿地 Wetland | 0.022 1 | |||
修枝Pruned | 3 | 0.008 8 | 其他 Others | 0.012 5 |
Table 10
Fire intensity risk judgment matrix for fuel characteristic influencing factors of C layer"
影响因子Influencing factors | 优势 树种Dominant tree species | 修枝Pruning | 枯落物厚度Thickness of litter | 蓄积量Stand volume | 郁闭度Canopy density | 灌木盖度Shrub layer coverage | 草本盖度Herb layer coverage |
优势树种Dominant tree species | 1 | 2 | 3 | 3 | 3 | 6 | 7 |
修枝 Pruning | 1/2 | 1 | 2 | 2 | 2 | 5 | 7 |
枯落物 厚度Thickness of litter | 1/3 | 1/2 | 1 | 1/2 | 3 | 4 | 5 |
蓄积量 Stand volume | 1/3 | 1/2 | 2 | 1 | 1/2 | 3 | 4 |
郁闭度Canopy density | 1/3 | 1/2 | 1/3 | 2 | 1 | 2 | 5 |
灌木盖度Shrub layer coverage | 1/6 | 1/5 | 1/4 | 1/3 | 1/2 | 1 | 3 |
草本盖度Herb layer coverage | 1/7 | 1/7 | 1/5 | 1/4 | 1/5 | 1/3 | 1 |
Table 12
Fire intensity risk weight values for the influencing factors of C layer to objective A layer"
B层指标 Indexes layer B | C层影响因子 Influencing factors of C layer | 权重 Weight |
土地类型Land type | 乔木林地Woodland | 0.156 4 |
荒山Barren hill | 0.035 2 | |
灌木林地Shrubland | 0.072 5 | |
湿地Wetland | 0.019 4 | |
其他Others | 0.013 5 | |
可燃物特性Fuel characteristic | 优势树种Dominant tree species | 0.173 3 |
草本盖度Herb layer coverage | 0.114 7 | |
灌木盖度Shrub layer coverage | 0.079 6 | |
枯落物厚度Thickness of litter | 0.068 5 | |
郁闭度Canopy density | 0.062 5 | |
修枝Pruning | 0.026 3 | |
蓄积量Stand volume | 0.014 7 | |
地形Terrain | 坡度Slope | 0.022 8 |
坡向Aspect | 0.054 3 | |
海拔Altitude | 0.086 3 |
Table 13
Fire intensity risk index values of C layer various influencing factors"
C层影响因子 Influencing factors of C layer | 阈值/类别 Threshold/category | 重要性赋值 Importance evaluation | 火强度危险 指数Fire intensity risk index value | C层影响因子 Influencing factors of C layer | 阈值/类别 Threshold/category | 重要性赋值 Importance evaluation | 火强度危险 指数Fire intensity risk index value | |
优势树种 Dominant tree species | 粗脂肪含量≥5% Crude fat content≥5% | 9 | 0.062 4 | 坡向Aspect | 南坡South | 9 | 0.019 5 | |
粗脂肪含量[3.0%,5.0%) Crude fat content[3.0%,5.0%) | 7 | 0.048 5 | 西南坡Southwest | 7 | 0.015 2 | |||
粗脂肪含量[2.0%,3.0%) Crude fat content [2.0%,3.0%) | 5 | 0.034 7 | 东南坡Southeast | 7 | 0.015 2 | |||
粗脂肪含量[1.0%,2.0%) Crude fat content[1.0%,2.0%) | 3 | 0.020 8 | 西坡 West | 7 | 0.015 2 | |||
粗脂肪含量[0.0%,1.0%) Crude fat content [0.0%,1.0%) | 1 | 0.006 9 | 西北坡Northwest | 5 | 0.010 9 | |||
东北坡Northeast | 5 | 0.010 9 | ||||||
修枝Pruning | 未修枝Unpruned | 7 | 0.080 3 | 无坡向 Non-slope direction | 5 | 0.010 9 | ||
修枝Pruned | 3 | 0.034 4 | ||||||
东坡East | 3 | 0.006 5 | ||||||
郁闭度 Canopy density | [0,0.2) | 1 | 0.002 5 | 北坡North | 1 | 0.002 2 | ||
[0.2,0.4) | 3 | 0.007 5 | ||||||
[0.4,0.6) | 5 | 0.012 5 | 坡度Slope/(°) | ≥35 | 9 | 0.031 1 | ||
[0.6,0.8) | 7 | 0.017 5 | [25,35) | 7 | 0.024 2 | |||
≥0.8 | 9 | 0.022 5 | [15,25) | 5 | 0.017 3 | |||
[5,15) | 3 | 0.010 4 | ||||||
灌木盖度 Shrub layer coverage (%) | >75 | 9 | 0.022 4 | <5 | 1 | 0.003 5 | ||
[51,75] | 7 | 0.017 4 | ||||||
[26,50] | 5 | 0.012 5 | 蓄积量Stand volume/ (m3·hm?2) | ≥255.0 | 9 | 0.024 7 | ||
[5,25] | 3 | 0.007 5 | [150.0,255.0) | 7 | 0.019 2 | |||
<5 | 1 | 0.002 5 | [75.0,150.0) | 5 | 0.013 7 | |||
[30.0,75.0) | 3 | 0.008 2 | ||||||
草本盖度 Herb layer coverage (%) | >75 | 10 | 0.005 3 | <30.0 | 1 | 0.002 7 | ||
[51,75] | 8 | 0.004 1 | ||||||
[26,50] | 5 | 0.002 9 | 海拔Altitude/m | < 120 0 | 9 | 0.008 2 | ||
[5,25] | 3 | 0.001 8 | [120 0,140 0) | 7 | 0.006 4 | |||
<5 | 1 | 0.000 6 | [140 0,160 0) | 5 | 0.004 6 | |||
[160 0,180 0) | 3 | 0.002 7 | ||||||
枯落物厚度Thickness of litter/cm | ≥5.0 | 9 | 0.028 7 | ≥ 180 0 | 1 | 0.000 9 | ||
[3.0,5.0) | 7 | 0.022 3 | ||||||
[2.0,3.0) | 5 | 0.015 9 | 荒山 Barren hill | 0.035 2 | ||||
[1.0-2.0) | 3 | 0.009 6 | 灌木林地Shurbland | 0.072 5 | ||||
[0.0-1.0) | 1 | 0.003 2 | 湿地Wetland | 0.019 4 | ||||
乔木林地 Woodland | 0.156 4 | 其他 Others | 0.013 5 |
Table 14
Forest fire risk classification for Saihanba Mechanized Forest Farm"
火灾风险类型 Fire risk type | 火险等级 Fire risk classification | 危险程度 Risk level | 危险指数 Risk index value | 小班面积占比 Area proportion of subcompartment (%) |
引燃危险 Ignition risk | ⅤY | 极高Extremely high | 0.256 3?0.329 0 | 9.21 |
ⅣY | 高High | 0.218 5?0.256 2 | 26.25 | |
ⅢY | 较高Relatively high | 0.185 4?0.218 4 | 32.49 | |
ⅡY | 较低Relatively low | 0.146 2?0.185 3 | 24.03 | |
Ⅰy | 低Low | 0.095 7?0.146 1 | 8.02 | |
火强度危险 Fire intensity risk | ⅤQ | 极高Extremely high | 0.365 0?0.430 0 | 46.42 |
ⅣQ | 高High | 0.297 4?0.364 9 | 26.38 | |
ⅢQ | 较高Relatively high | 0.211 5?0.297 3 | 7.95 | |
ⅡQ | 较低Relatively low | 0.159 3?0.211 4 | 7.93 | |
ⅠQ | 低Low | 0.089 3?0.159 2 | 11.33 | |
综合火险 Comprehensive fire risk | ⅤZ | 极高Extremely high | 0.271 2?0.323 7 | 19.13 |
ⅣZ | 高High | 0.248 2- 0.271 1 | 29.07 | |
ⅢZ | 较高Relatively high | 0.222 3?0.248 1 | 28.12 | |
ⅡZ | 较低Relatively low | 0.174 9?0.222 2 | 12.42 | |
ⅠZ | 低Low | 0.102 6?0.174 8 | 11.26 |
程 顺, 王 超, 刘艳庄. 塞罕坝林区地表可燃物研究. 河北林果研究, 2011, 26 (1): 34- 37.
doi: 10.3969/j.issn.1007-4961.2011.01.011 |
|
Cheng S, Wang C, Liu Y Z. Research of the surface combustible substance in Saihanba. Hebei Journal of Forestry and Orchard Research, 2011, 26 (1): 34- 37.
doi: 10.3969/j.issn.1007-4961.2011.01.011 |
|
邸雪颖, 楚 旭, 杨 光, 等. 我国2000—2012年夏季森林火灾分布规律. 世界林业研究, 2015, 28 (4): 72- 75. | |
Di X Y, Chu X, Yang G et al. Distribution of summer forest fires in China in 2000—2012. World Forestry Research, 2015, 28 (4): 72- 75. | |
丁永全, 舒立福, 吴 松, 等. 塞罕坝林场不同林型地表枯落物特性及对应火险特征研究. 西南林业大学学报(自然科学), 2021, 41 (4): 111- 118. | |
Ding Y Q, Shu L F, Wu S, et al. Characteristics of litter and corresponding fire risk of different forest types in Saihanba Forestry Center. Journal of Southwest Forestry University(Natural Science), 2021, 41 (4): 111- 118. | |
段建国, 李欣泽, 吴 兵, 等. 基于Landsat 8的泰山森林火险区划等级研究. 传感器世界, 2020, 26 (10): 17- 21.
doi: 10.3969/j.issn.1006-883X.2020.10.003 |
|
Duan J G, Li X Z, Wu B, et al. Study on forest fire risk regionalization in Tai Shan Mountain based on Landsat 8. Sensor World, 2020, 26 (10): 17- 21.
doi: 10.3969/j.issn.1006-883X.2020.10.003 |
|
高 敏, 任云卯, 周晓东, 等. 抚育间伐对西山林场侧柏林冠层可燃物特征及潜在火行为的影响. 北京林业大学学报, 2022, 44 (8): 56- 65.
doi: 10.12171/j.1000-1522.20210455 |
|
Gao M, Ren Y M, Zhou X D, et al. Effects of thinning on canopy characteristics and potential crown fire behavior of Platycladus orientalis in Xishan Forest Farm of Beijing. Journal of Beijing Forestry University, 2022, 44 (8): 56- 65.
doi: 10.12171/j.1000-1522.20210455 |
|
宫大鹏, 曹 萌, 闫 淳, 等. 我国祭祀火灾时空分布特征分析. 森林防火, 2023, 41 (4): 68- 71.
doi: 10.3969/j.issn.1002-2511.2023.04.016 |
|
Gong D P, Cao M, Yan C et al. Analysis on the temporal and spatial distribution characteristics of sacrificial fire in China. Journal of Wildland Fire Science, 2023, 41 (4): 68- 71.
doi: 10.3969/j.issn.1002-2511.2023.04.016 |
|
黄宝华, 张 华, 孙治军. 基于层次分析(AHP)的山东森林火风险区划研究. 火灾科学, 2014, 23 (4): 225- 232.
doi: 10.3969/j.issn.1004-5309.2014.04.06 |
|
Huang B H, Zhang H, Sun Z J. Shandong forest fire danger division research based on analytic hierarchy prosess(AHP). Fire Safe Science, 2014, 23 (4): 225- 232.
doi: 10.3969/j.issn.1004-5309.2014.04.06 |
|
李 婧. 2022. 内蒙古大兴安岭林火时空分布及火险区划. 呼和浩特: 内蒙古农业大学. | |
Li J. 2022. Spatial-temporal distribution and fire danger area division of forest fire in Inner Mongolia Great Khingan. Hohhot: Inner Mongolia Agricultural University. [in Chinese] | |
李伟克, 张 晨, 谷兴翰, 等. 2020. 北京西山侧柏林可燃物调控措施的影响评价. 浙江农林大学学报, 37(3): 472−479. | |
Li W K, Zhang C, Gu X H, et al. 2020. Impact assessment of fuel regulation measures in Platycladus orientalis forest in Western Hills of Beijing. Journal of Zhejiang A&F University, 37(3): 472−479. [in Chinese] | |
李艳琴, 胡海清. 森林可燃物抽提物研究综述. 世界林业研究, 2008, 21 (6): 54- 56. | |
Li Y Q, Hu H Q. Summary of research on forest combustible extraction. World Forestry Research, 2008, 21 (6): 54- 56. | |
苗庆林, 田晓瑞, 陈立光. 基于层次分析法的森林火险区划——以徂徕山林场为例. 火灾科学, 2013, 22 (3): 113- 119.
doi: 10.3969/j.issn.1004-5309.2013.03.01 |
|
Miao Q L, Tian X R , Chen L G , et al. Forest fire risk zoning based on analytic hierarchy process: a case study for Culai mountain forest center. Fire Safe Science, 2013, 22 (3): 113- 119.
doi: 10.3969/j.issn.1004-5309.2013.03.01 |
|
牛树奎, 王 叁, 贺庆棠, 等. 北京山区主要针叶林可燃物空间连续性研究——可燃物垂直连续性与树冠火发生. 北京林业大学学报, 2012, 34 (3): 1- 7. | |
Niu S K, Wang S, He Q T, et al. Spatial continuity of fuels in major coniferous forests in Beijing mountainous area: fuel vertical continuity and crown fire occurrence. Journal of Beijing Forestry University, 2012, 34 (3): 1- 7. | |
努尔古丽·马坎, 张毓涛, 岳朝阳, 等. 天山中部9种乔灌木可燃物含水率及脂肪含量分析. 安徽农业大学学报, 2012, 39 (6): 925- 929. | |
Makan N, Zhang Y T, Yue Z Y, et al. Analysis of the water content and fuel moisture content of forest combustible in the center of Tianshan Mountains. Journal of Anhui Agricultural University, 2012, 39 (6): 925- 929. | |
秦乃花, 陈 瑞, 吕常笑, 等. 山东省不同林分地表可燃物载量及其燃烧性研究. 西北林学院学, 2023, 38 (5): 176- 183. | |
Qin N H, Chen R, Lü C X, et al. Surface fuel loading and combustion characteristics of different forest types in Shandong Province. Journal of Northwest Forestry University, 2023, 38 (5): 176- 183. | |
舒立福, 刘晓东. 2016. 森林防火学概论. 北京: 中国林业出版社. | |
Shu L F, Liu X D. 2016. Introduction to forest fire prevention. Beijing: China Forestry Publishing House. [in Chinese] | |
孙 武, 牛树奎, 赵 蓓, 等. 大岗山地区主要林型可燃物调查与林火行为. 江西农业大学学报, 2012, 34 (6): 1171- 1179.
doi: 10.3969/j.issn.1000-2286.2012.06.016 |
|
Sun W, Niu S K, Zhao B, et al. Forest fuel survey and fire behavior in main forests in Dagangshan. Acta Agriculturae Universitatis Jiangxiensis, 2012, 34 (6): 1171- 1179.
doi: 10.3969/j.issn.1000-2286.2012.06.016 |
|
田光辉, 陈汇林, 许向春. 基于模糊综合判别的森林火险等级预报研究. 灾害学, 2013, 28 (3): 117- 122.
doi: 10.3969/j.issn.1000-811X.2013.03.022 |
|
Tian G H, Chen H L, Xu X C. Study on grade prediction on forest fire based on fussy synthetic discrimimant. Journal of Catastrophology, 2013, 28 (3): 117- 122.
doi: 10.3969/j.issn.1000-811X.2013.03.022 |
|
王晓红, 阳丽虹, 马明浩, 等. 塞罕坝机械林场生态环境质量评价. 华北理工大学学报(自然科学版), 2023, 45 (3): 11- 18. | |
Wang X H, Yang L H, Ma M H, et al. Ecological environment quality evaluation of Saihanba forest farm. Journal of North China University of Science and Technology(Natural Science Edition), 2023, 45 (3): 11- 18. | |
王忆文, 索奥丽, 高 钰. 四川西昌云南松林地表可燃物载量及影响因素研究. 北京林业大学学报, 2023, 45 (1): 100- 108.
doi: 10.12171/j.1000-1522.20220398 |
|
Wang Y W, Suo A L, Gao J. Surface fuel load and influencing factors of Pinus yunnanensis forest in Xichang City, Sichuan Province of southwestern China. Journal of Beijing Forestry University, 2023, 45 (1): 100- 108.
doi: 10.12171/j.1000-1522.20220398 |
|
魏建珩, 赵 恒, 高仲亮, 等. 毛乌素沙地主要树种燃烧性研究. 消防科学与技术, 2021, 40 (11): 1676- 1681.
doi: 10.3969/j.issn.1009-0029.2021.11.026 |
|
Wei J H, Zhao H, Gao Z L, et al. Study on the combustibility of main tree species in Mu Us Sandy Land. Fire Science and Technology, 2021, 40 (11): 1676- 1681.
doi: 10.3969/j.issn.1009-0029.2021.11.026 |
|
魏书精, 罗斯生, 罗碧珍, 等. 气候变化背景下森林火灾发生规律研究. 林业与环境科学, 2020, 36 (2): 133- 143.
doi: 10.3969/j.issn.1006-4427.2020.02.019 |
|
Wei S J, Luo S S, Luo B Z, et al. Occurrence regularity of forest fire under the background of climate change. Forestry and Environmental Science, 2020, 36 (2): 133- 143.
doi: 10.3969/j.issn.1006-4427.2020.02.019 |
|
张 恒, 敖子奇, 乌日汉, 等. 内蒙古大兴安岭主要乔灌树种理化性质及抗火性研究. 西南林业大学学报, 2020, 40 (4): 61- 67.
doi: 10.11929/j.swfu.201909045 |
|
Zhang H, Ao Z Q, Wu R H, et al. Study on physicochemical properties and fire-resistance of main tree and shrub species in Daxing’an Mountains, Inner Mongolia. Journal of Southwest Forestry University, 2020, 40 (4): 61- 67.
doi: 10.11929/j.swfu.201909045 |
|
张文文, 闫想想, 王秋华, 等. 计划烧除对云南松林地表可燃物火行为的影响. 北京林业大学学报, 2022, 44 (5): 69- 76.
doi: 10.12171/j.1000-1522.20200328 |
|
Zhang W W, Yan X X, Wang Q H et al. Effects of prescribed burning on fire behavior of surface fuel in Pinus yunnanensis forest land. Journal of Beijing Forestry University, 2022, 44 (5): 69- 76.
doi: 10.12171/j.1000-1522.20200328 |
|
张玉春, 向 东, 郭瀚文, 等. 川西南森林可燃物分布调研及潜在火行为研究. 自然灾害学报, 2023, 32 (2): 108- 116. | |
Zhang Y C, Xiang D, Guo H W, et al. Reaserch on the distribution of combustible materials and potential fire behavior in southwest Sichuan forests. Journal of Natural Disasters, 2023, 32 (2): 108- 116. | |
张运生, 舒立福, 赵凤君, 等. 基于云南松林计划烧除的可燃物调控效果评价研究. 西北林学院学报, 2023, 38 (4): 189- 196. | |
Zhang Y S, Shu L F, Zhao F J, et al. Evaluation of fuel treatments based on prescribed burning in Pinus yunnanensis forest. Journal of Northwest Forestry University, 2023, 38 (4): 189- 196. | |
赵鹏武, 武峻毅, 张 恒. 基于聚类分析法的我国森林火险等级区划研究. 林业工程学报, 2021, 6 (3): 142- 148. | |
Zhao P W, Wu J Y, Zhang H. Study on forest fire risk classification in China using cluster analysis. Journal of Forestry Engineering, 2021, 6 (3): 142- 148. | |
Akay A E, Erdoğan A. 2017. GIS-based multi-criteria decision analysis for forest fire risk mapping. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Ⅳ-4/W4, 25−30. | |
Çoban H O, Erdin C. Forest fire risk assessment using GIS and AHP integration in bucak forest enterprise, Turkey. Applied Ecology and Environmental Research, 2020, 18 (1): 1567- 1583.
doi: 10.15666/aeer/1801_15671583 |
|
Jia X, Gao Y, Wei B C, et al. Risk assessment and regionalization of rire disaster based on analytic hierarchy process and MODIS data: a case study of Inner Mongolia, China. Sustainability, 2019, 11 (22): 6263.
doi: 10.3390/su11226263 |
|
Kant Sharma L, Kanga S, Singh Nathawat M, et al. Fuzzy AHP for forest fire risk modeling. Disaster Prevention and Management, 2012, 21 (2): 160- 171.
doi: 10.1108/09653561211219964 |
|
Kumar D, Garg C P. Evaluating sustainable supply Chain indicators using fuzzy AHP: case of Indian automotive industry. Benchmarking; An International Journal, 2017, 24 (6): 1742- 1766.
doi: 10.1108/BIJ-11-2015-0111 |
|
Kumari B, Pandey A C. Geo-informatics based multi-criteria decision analysis (MCDA) through analytic hierarchy process (AHP) for forest fire risk mapping in Palamau Tiger Reserve, Jharkhand state, India. Journal of Earth System Science, 2020, 129, 204.
doi: 10.1007/s12040-020-01461-6 |
|
Lamat R, Kumar M, Kundu A, et al. Forest fire risk mapping using analytical hierarchy process (AHP) and earth observation datasets: a case study in the mountainous terrain of Northeast India. SN Applied Sciences, 2021, 3, 425.
doi: 10.1007/s42452-021-04391-0 |
|
Mehta D, Baweja P K, Aggarwal R K. Forest fire risk assessment using fuzzy analytic hierarchy process. Current World Environment, 2018, 13 (3): 307- 316.
doi: 10.12944/CWE.13.3.05 |
|
Pradeep G S, Patel N, Kuriakose S L, et al. Forest fire risk zone mapping of Eravikulam national park in India: a comparison between frequency ratio and analytic hierarchy process methods. Croatian Journal of Forest Engineering, 2022, 43 (1): 199- 217.
doi: 10.5552/crojfe.2022.1137 |
|
Sivrikaya F, Küçük Ö. Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region. Ecological Informatics, 2022, 68, 101537.
doi: 10.1016/j.ecoinf.2021.101537 |
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