Visualizing tools are now capable of synthesizing satellite imagery with Computational Fluid Dynamics (CFD) results. The new method is applied in Augsburg, Germany, and consists of two main phases: pre-processing and post-processing. The pre-processing phase involves creating geometry, mesh, and extracting results from simulations of traffic pollutant dispersion. In the post-processing phase, the results are combined with satellite images to produce visually optimized results. The demonstration of road traffic air pollution is based on real data from local air quality measurements and specific scenarios. The results indicate that using these visualization tools produce understandable and impressive images and videos. This enhances the public's comprehension of scientific results and raises awareness of environmental issues. An increased understanding of scientific results can reinforce the implementation of environmental policies by pressuring responsible authorities to take action. This paper provides a valuable tool for visualizing air pollution and facilitating public engagement with environmental issues.

可视化工具现在能够将卫星图像与计算流体动力学 (CFD) 结果合成。新方法在德国奥格斯堡得到应用，主要包括两个阶段：预处理和后处理。预处理阶段包括创建几何体、网格以及从交通污染物扩散模拟中提取结果。在后处理阶段，结果与卫星图像相结合，产生视觉上优化的结果。道路交通空气污染的演示基于当地空气质量测量的真实数据和特定场景。结果表明，使用这些可视化工具可以生成易于理解且令人印象深刻的图像和视频。这增强了公众对科学成果的理解并提高了对环境问题的认识。加深对科学成果的了解可以通过迫使主管当局采取行动来加强环境政策的实施。本文为可视化空气污染和促进公众参与环境问题提供了一个有价值的工具。