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作 者:吴红燕 张学全 Wu Hongyan;Zhang Xuequan(School of Artificial Intelligence,Wuchang University of Technology,Wuhan 430223;School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079)
机构地区:[1]武昌理工学院人工智能学院,武汉430223 [2]武汉大学资源与环境科学学院,武汉430079
出 处:《气象科技》2019年第6期893-899,共7页Meteorological Science and Technology
基 金:国家重点研发计划(2017YFB0504100)资助
摘 要:水文气象灾害是影响我国的主要自然灾害之一。水文气象网格数据构成一个动态变化的三维流场,流场可视化是研究水文气象灾害内在变化规律的重要手段。针对水文气象场数据数据量大、多维多尺度以及动态变化等特点,本文提出了一种基于虚拟地球的流场三维动态可视化方法。该方法包括流场数据组织和动态数据插值两种数据处理方法,并在此基础上研究了改进的粒子追踪、三维流线和体绘制三种可视化关键技术。最后通过河道洪水和台风两种不同尺度的流场进行了实验验证,结果表明该方法能够流畅地实现三维流场的精细动态可视化,对于水文气象灾害应急辅助决策具有重要的意义。Hydro-meteorological disasters are one of the major natural disasters affecting China.Hydrometeorological grid data form a dynamic three-dimensional flow field.The visualizing flow field is important to explore the inherent variation of hydro-meteorological disasters.Considering the data characteristics of large amount,multi-dimensional,multi-scale and dynamic changing,this paper presents a 3D dynamic visualization method for flow fields based on a virtual globe.It includes two data processing methods:flow field data organization and dynamic data interpolation.Meanwhile,three improved visualization techniques including particle tracking,3D streamline and volume rendering are studied.Finally,the method is verified by two different cases:river flood and typhoon.The experiments show that the method can smoothly realize the detailed dynamic visualization of the three-dimensional flow field,which is of great significance for emergency decision-making of hydro-meteorological disasters.
分 类 号:P409[天文地球—大气科学及气象学]
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