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Spatio-temporal analysis and visualization using SPH for dam-break and flood disasters in a GIS environment

机译:使用SPH进行时空分析和可视化,用于GIS环境中的大坝和洪水灾害

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Based on the geospatial data, and supported by the water resource and civil engineering data, the dam-break and flood simulation results can be dynamically visualized in a creative 3 Dimensional(3D) spatio-temporal Geographic Information System(GIS). Moreover, the spatio-temporal analysis, the bi-temporal comparison and theme statistic analysis are able to provide details of the inundated area. The analysis results of the flood outcomes can help the decision maker on disaster governance, emergency response, and evaluations of the damage. This paper proposed an innovated integration of geoinformatic technologies and system hydrodynamics method to model the complex geographical processes and evaluate the effects of the disasters in a spatio-temporal GIS. By taking the Smoothed Particle Hydrodynamics (SPH) simulation output results into spatio-temporal modeling, the 3D dynamic visualization of GIS was achieved. Besides, a successful case study was also introduced in this paper. The visualization effects were dynamic and realistic, while the spatio-temporal analysis results were accurate and intuitive. More significantly, although GIS technologies has been developed for about 60 years and it has been adapted to many domains, like the water resource management research and application field, there are still limitations on the data sources used in GIS. As with these interdisciplinary research developments, advanced data sources from other research fields have been provided to GIS, which optimized and expanded the GIS features.
机译:基于地理空间数据,并在水资源和土木工程数据的支持下,可以在创新的3维(3D)时空地理信息系统(GIS)中动态可视化溃坝和洪水模拟结果。此外,时空分析,双向分析和主题统计分析都能够提供淹没区域的详细信息。洪水结果的分析结果可以帮助决策者进行灾害治理,应急响应和损失评估。本文提出了一种创新的地理信息技术与系统水动力方法的集成,以对复杂的地理过程进行建模并在时空GIS中评估灾害的影响。通过将平滑粒子流体动力学(SPH)模拟输出结果进行时空建模,可以实现GIS的3D动态可视化。此外,本文还介绍了成功的案例研究。可视化效果是动态和逼真的,而时空分析结果是准确而直观的。更重要的是,尽管GIS技术已经发展了大约60年,并且已经适应了许多领域,例如水资源管理研究和应用领域,但是GIS中使用的数据源仍然受到限制。与这些跨学科的研究发展一样,来自其他研究领域的高级数据源也已提供给GIS,从而优化并扩展了GIS功能。

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