知识引导的森林火灾逃生路网动态生成方法
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朱军, 陈佩菁, 曾超, 郑全红, 谢亚坤, 游继钢, 廉慧洁
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Knowledge-guided dynamic generation of escape route networks for forest fires
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Jun ZHU, Peijing CHEN, Chao ZENG, Quanhong ZHENG, Yakun XIE, Jigang YOU, Huijie LIAN
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表5 各方法构建的森林火灾逃生路网参数
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Tab.5 The parameters of the forest fire escape route network constructed by each method
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| 方法 | 逃生路网 | 路径 | 逃生时间/min | 空间距离/km | 平均植被覆盖度 | 通行栅格 |
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| 本文方法 | NR2 | P9 | 120 | 15.4 | 0.638 | A40B75 | | P10 | 105 | 14.8 | 0.672 | A45B80 | | P11 | 100 | 12.5 | 0.710 | A50B80 | | P12 | 92 | 11.3 | 0.720 | A55B85 | | P13 | 78 | 8.9 | 0.624 | A60B90 | | P14 | 78 | 8.7 | 0.631 | A65B95 | | P15 | 58 | 6.7 | 0.700 | A70B100 | | P16 | 55 | 5.6 | 0.686 | A80B100 | | 传统A*算法 | NR3 | P17 | 120 | 15.3 | 0.638 | A40B75 | | P18 | 106 | 15.1 | 0.672 | A45B80 | | P19 | 105 | 13.1 | 0.714 | A50B80 | | P20 | 87 | 12.1 | 0.720 | A55B85 | | P21 | 70 | 8.1 | 0.624 | A60B90 | | P22 | 71 | 7.9 | 0.631 | A65B95 | | P23 | 59 | 6.7 | 0.700 | A70B100 | | P24 | 57 | 5.6 | 0.686 | A80B100 | | 文献[24] | NR4 | P25 | 130 | 15.7 | 0.651 | A40B75 | | P26 | 133 | 15.8 | 0.682 | A45B80 | | P27 | 110 | 13.8 | 0.713 | A50B80 | | P28 | 95 | 12.7 | 0.720 | A55B85 | | P29 | 78 | 9.1 | 0.632 | A60B90 | | P30 | 74 | 8.3 | 0.635 | A65B95 | | P31 | 60 | 6.7 | 0.712 | A70B100 | | P32 | 59 | 6.0 | 0.710 | A80B100 |
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