地球信息科学学报

地球信息科学学报 ›› 2015, Vol. 17 ›› Issue (2): 206-214.doi: 10.3724/SP.J.1047.2015.00206

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CALPUFF模型模拟结果的时空多维可视化表达

邬群勇1(), 黄君毅1, 盛玲1, 唐曙光1, 王勤耕2, 孙振海3   

  1. 1. 福州大学 福建省空间信息工程研究中心空间数据挖掘与信息共享教育部重点实验室,福州 350002
    2. 南京大学环境学院,南京 210046
    3. 军事医学科学院科技部,北京 100071
  • 收稿日期:2014-04-24 修回日期:2014-06-17 出版日期:2015-02-10 发布日期:2015-02-10
  • 作者简介:

    作者简介：邬群勇(1973-),男,博士,副研究员,研究方向为GIS与计算机应用。E-mail:qywu@fzu.edu.cn

  • 基金资助:
    国家“863“项目(2012AA022007)

Spatio-temporal and Multi-dimensional Visualizations for the Simulation Result of CALPUFF Model

WU Qunyong1,*(), HUANG Junyi1, SHENG Ling1, TANG Shuguang1, WANG Qingeng2, SUN Zhenhai3   

  1. 1. Spatial Information Research Center of Fujian Province, Key lab of Spatial Data Mining and Information Sharing of MOE, Fuzhou University, Fuzhou 350002, China
    2. School of Environment, Nanjing University, Nanjing 210046, China
    3. Ministry of Science and Technology, Academy of Military Medical Science, Beijing 100071, China
  • Received:2014-04-24 Revised:2014-06-17 Online:2015-02-10 Published:2015-02-10
  • Contact: WU Qunyong
  • About author:

    *The author: SHEN Jingwei, E-mail:jingweigis@163.com

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摘要：

大气污染扩散模型数值模拟结果的时空多维可视化表达,能有效展示大气污染扩散空间分布,为快速高效辅助后期污染分析与应急决策提供重要的参考。CALPUFF模型能高效模拟污染物在大气环境中时空变化的扩散过程,而现有大气污染扩散模型模拟结果可视化表达普遍存在不能有效集成地理信息、缺失部分重要维度特征等问题。论文首先分析了CALPUFF模型,及其与组件式GIS紧密集成的技术方案,为模型模拟结果与地理信息集成提供了技术支持。然后,基于CALPUFF模型的数值计算模拟结果,详细研究了风场数据预处理及其矢量绘制方法,浓度场的数据预处理及其栅格渲染方法。在三维地形场景下,探究了大气污染物的时空扩散模拟可视化表达方法,给出了CALPUFF模型模拟结果与三维地形场景的集成表达策略。最后,通过组件式GIS,构建了福州市三维地形场景,以大气污染CALPUFF扩散模拟结果为例,在WPF系统框架下,实现了风场和浓度场的时空动态模拟和空间层级多维可视化表达。实验结果表明,本文所采用的时空可视化技术方案能将CALPUFF模型模拟结果,有效集成三维地形场景,实现模型模拟结果在时间维度上动态扩散和在空间维度上的层级分布,可为大气污染模拟结果的时空多维可视化提供参考。

关键词: CALPUFF模型, 时空多维可视化, 大气污染, 三维地形场景

Abstract:

The spatio-temporal and multi-dimensional visualization of atmospheric pollution dispersion simulation result can effectively demonstrate the spatial distribution of air pollution dispersion, which could provide an important reference to the quick analysis and effective emergency decision-making.The CALPUFF model can effectively simulate the diffusion process of pollution with respect to changes of time and space.The existing visual expression methods for atmospheric pollution simulations havesome common deficiencies, such as the ineffective integration of geographic information, the missing of important dimension features, etc. In this paper, the authors firstly analyzed both the CALPUFF model and its integration with component GIS, which provides a technical support for the integration of simulation results and geographical information. Secondly, with the support of GIS visualization technology, the preprocessing and vector plotting method for the simulated wind field results from CALPUFF model was given, and the preprocessing and raster rendering method for the simulated density field results from CALPUFF model was also provided. Thirdly, based on the three-dimensional terrain scene, the visualization method for atmospheric pollution dispersion was discussed. The integrated visual expression strategy of the CALPUFF model simulation results and the three-dimensional terrain scenes was then obtained. Finally, we took the Fuzhou City as a study area, and the three-dimensional terrain scenes of Fuzhou was constructed using the component GIS. According to the framework of WPF(Windows Presentation Foundation), the spatial and temporal multi-dimensional visualization simulation of wind fields and density fields was implemented. The experiment result shows that the spatial and temporal multi-dimensional visualization method given in the paper can be effectively integrated with the three-dimensional terrain scenes, and can also simultaneously achieve the processes of dynamic diffusion within the temporal dimension and multi-level distribution within the spatial dimension for the simulation results. The spatial and temporal multi-dimensional visualizations method can provide a good reference to other studies and applications.

Key words: CALPUFF model, spatio-temporal and multi-dimensional visualization, air pollution, three-dimensional terrain scene