郭煜坤, 朱军, 付林, 李维炼, 郑全红, 赵媛媛, 吴思豪. 一种面向公众教育的滑坡灾害可视化视觉表征方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(9): 1378-1385. DOI: 10.13203/j.whugis20200091
引用本文: 郭煜坤, 朱军, 付林, 李维炼, 郑全红, 赵媛媛, 吴思豪. 一种面向公众教育的滑坡灾害可视化视觉表征方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(9): 1378-1385. DOI: 10.13203/j.whugis20200091
GUO Yukun, ZHU Jun, FU Lin, LI Weilian, ZHENG Quanhong, ZHAO Yuanyuan, WU Sihao. A Visual Representation Method of Landslide Disasters for Public Education[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1378-1385. DOI: 10.13203/j.whugis20200091
Citation: GUO Yukun, ZHU Jun, FU Lin, LI Weilian, ZHENG Quanhong, ZHAO Yuanyuan, WU Sihao. A Visual Representation Method of Landslide Disasters for Public Education[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1378-1385. DOI: 10.13203/j.whugis20200091

一种面向公众教育的滑坡灾害可视化视觉表征方法

A Visual Representation Method of Landslide Disasters for Public Education

  • 摘要: 对公众展开滑坡灾害教育,可以提升公众的灾害风险意识。目前的灾害教育主要针对学生与救护人员,其教育方式集中于课本教学及专业培训,内容专业性较强,且教育者与公众之间缺乏有效的沟通渠道,公众难以对滑坡灾害有直观认知。针对上述问题,提出一种面向公众教育的滑坡灾害可视化视觉表征方法,重点研究动静结合的视觉表征框架以及滑坡灾害知识图解与概念图实例化等关键技术,以实现对滑坡过程的整体描述与外在因果的表现。选择2017年6月24日发生的6·24茂县叠溪特大山体滑坡开展案例实验分析,实验结果表明,该方法能够有效地构建滑坡灾害知识的视觉内容,快速地帮助公众了解滑坡灾害知识。

     

    Abstract: This study aims to explore building education capacity to improve disaster management in public awareness. We can improve public awareness of disaster risks through public education on landslide disasters. The current education in disaster courses is mainly aimed at students and ambulance personnel. Those education methods focus on textbook teaching and professional training, and the contents are too professional. There is no effective communication channel between educators and the public. Thus, this paper proposes a visual representation method of landslide disasters for public education. We prepared a concept map to organize and represent bits of knowledge of landslide, instantiating nodes of concept map as animation, then used animation to publicize. The landslide on June 24, 2017 in Diexi, Maoxian was selected to conduct a case test analysis. One short animation created by the method and one brief disaster report summarized by that animation is produced for a questionnaire. We collected and analyzed the results of the questionnaire. The results show that people tend to learn about landslides by watching animation, and they answer more questions correctly in the questionnaire after watching animation than reading the report. So the proposed method in this paper can effectively construct the visual content of landslide disaster knowledge and quickly help the public understand the landslide disaster knowledge.

     

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