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	A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution
	Wang, Haibo ; Mai, Jingeng ; Song, Yi ; Wang, Chaoshi ; Zhang, Lin ; Tao, Fei ; Wang, Qining
	2013
DOI	10.1007/978-3-642-45037-2_44
英文摘要	The visualization system of pollutant distribution contributes to scientific decision-making in the emergency pollution affairs. In this paper, we propose a framework which supports 3D visualization for real-time distribution and situation forecast of atmospheric chemical pollution. The core of our framework is a distributed system infrastructure, which is designed for massive data storage and parallel computing. The stored data includes terrain elevation, vector maps, satellite maps, meteorological data and concentration data from gas sensors. High-performance computing generates gridded data for visualization. Web-based 3D visual applications with B/S structure support cross-platform terminal access. ? Springer-Verlag Berlin Heidelberg 2013.; EI; 0
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/411818]
专题	工学院
推荐引用方式 GB/T 7714	Wang, Haibo,Mai, Jingeng,Song, Yi,et al. A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution[C]. 见:.

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