摘要
泥石流具有突发性、发生地点不确定性、响应时间紧迫、危害性严重等特点,而应急状态下泥石流风险图可用于辅助科学决策、保障应急救援能力以及提升公众安全意识,以达到防灾减灾的目的。针对泥石流灾害可视化对象众多,且不同用户类型的可视化需求和偏好不一样等问题,本文选定汶川七盘沟泥石流为研究对象,以泥石流时空过程模拟结果和灾害专题数据作为数据基础,根据不同用户类型在应急状态下对颜色和符号的认知能力,以及对应的可视化需求,构建应急状态下面向多用户类型的泥石流灾害信息特征可视化技术体系。实验结果表明:其研究成果有助于提高公众对于泥石流灾害风险意识,为决策者科学有效决策和救援人员快速救援提供参考意见。
Debris flow disasters are characterized by burstiness,uncertainty of occurrence location,response time presses and powerful destructiveness.Hazard map of debris flow can be used to assist decision-makers in making scientific and rational decisions,guarantee emergency rescue capability and raise awareness of residual in order to achieve the purpose of preventing and reducing mountain disasters.In view of debris flow visualization objects are abundant,visual requirements and preferences are different for different user types,we selected Qipan gully of Wenchuan county as the case area,and based on debris flow spatiotemporal process simulation results and disaster thematic data.Furthermore,we constructed technical system of visualization method of characteristics of debris flow for multi-user under emergency state based on user s ability to recognize colors and symbols,and the corresponding visual requirements.The advantages of the proposed method lie in:It can contribute to raise awareness of residual of debris flow and provide suggestions for decision-makers in making scientific and rational decisions and rescuer rapid rescue.
作者
李维炼
朱军
胡亚
张昀昊
尹灵芝
曹振宇
LI Weilian;ZHU Jun;HU Ya;ZHANG Yunhao;YIN LingZhi;CAO Zhenyu(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;State-Province Joint Engineering Laboratory of Spatial Information Technology for High-speed Railway Safety,Chengdu 611756,China;Sichuan Engineering Research Center for Emergency Mapping&Disaster Reduction,Chengdu 610041,China)
出处
《灾害学》
CSCD
北大核心
2018年第2期231-234,共4页
Journal of Catastrophology
基金
国家重点研发计划资助(2016YFC0803105)；国家863计划项目资助(2015AA123901)
关键词
泥石流
应急
多用户类型
灾害信息特征
可视化
Debris flow
Emergency state
Multi-user
Information characteristics of debris flow
Visualization
