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中国科学院大学学报 ›› 2014, Vol. 31 ›› Issue (5): 640-646.DOI: 10.7523/j.issn.2095-6134.2014.05.009

• 环境科学与地理学 • 上一篇    下一篇

基于ArcGIS Engine林火蔓延模拟算法的比较分析

丁智1,2, 宋开山1, 王宗明1, 汤旭光1,2, 董张玉1,2, 贾明明1,2, 邵田田1,2   

  1. 1. 中国科学院东北地理与农业生态研究所, 长春 130102;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2013-09-30 修回日期:2013-12-05 发布日期:2014-09-15
  • 通讯作者: 宋开山,E-mail:Songks@neigae.ac.cn
  • 基金资助:

    国家重点基础研究发展计划(2013CB430401;Y3A1014001)资助

Contrastive analysis of algorithms of the forest fire spreading simulation based on ArcGIS Engine

DING Zhi1,2, SONG Kaishan1, WANG Zongming1, TANG Xuguang1,2, DONG Zhangyu1,2, JIA Mingming1,2, SHAO Tiantian1,2   

  1. 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2013-09-30 Revised:2013-12-05 Published:2014-09-15

摘要:

算法选择对林火蔓延的模拟具有重要作用,既影响模拟的精度与效率,也限制模拟的实用性.对传统的边界插值算法进行优化,并与迷宫算法进行对比分析.研究表明,从耗时方面分析,与边界插值算法(5、7、16 s)相比,迷宫算法在3个时段的耗时(204、458、1 325 s)较长;且随着模拟时间的增加,迷宫算法的耗时呈现倍数增长.从模拟结果的精度上看,边界插值算法虽然模拟结果较为粗糙,但能从整体上反映林火蔓延的趋势,火场覆盖率为59.75%.迷宫算法的模拟蔓延边界细节较为接近实际的蔓延边界,能够反映林火蔓延的详细动态变化,且火场覆盖率达79.51%.

关键词: 林火蔓延模拟, 边界插值, 迷宫算法, ArcGIS Engine

Abstract:

Selection of algorithms for forest fire spreading simulation is important. In this paper, the traditional boundary interpolation algorithm is optimized and then compared with the maze algorithm in forest fire spreading simulation. The results are the following. The maze algorithm consumes more time (204、458、1325 s) than the boundary interpolation algorithm (5、7、16 s). The time consumed by the maze algorithm will doubly increase;As far as accuracy of simulation results concerned, the boundary interpolation algorithm has a lower accuray(59.75%) than the maze algorithm, but it shows simple changes of the forest fire spreading generally. Results obtained from maze algorithm provide more detailed information for the forest fire spreading and it resembles closely to actual spreading area.

Key words: forest fire spreading simulation, boundary interpolation, maze algorithm, ArcGIS Engine

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