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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在GIS环境中使用SPH的时空分析和可视化

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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,并由水资源和土木工程数据支持,坝断点和洪水仿真结果可以在创意3维(3D)时空地理信息系统(GIS)中动态地看出。此外,两种时间分析,双时效比较和主题统计分析能够提供淹没区域的细节。洪水成果的分析结果可以帮助决策者对灾难治理,应急响应和损害的评估。本文提出了一种创新的地理信息技术和系统流体动力学方法的集成,以模拟复杂的地理过程,评价灾害在时空GIS中的影响。通过采用平滑的粒子流体动力学(SPH)模拟输出结果进入时空建模,实现了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和直观的。更重要的是,尽管GIS技术已经开发了大约60年,但它已经适应了许多域,如水资源管理研究和应用领域,但GIS中使用的数据来源仍有局限性。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来源已经向GIS提供了优化和扩展了GIS功能。

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