Risk communication seeks to develop a shared understanding of disaster among stakeholders, thereby amplifying public awareness and empowering them to respond more effectively to emergencies. However, existing studies have overemphasized specialized numerical modelling, making the professional output challenging to understand and use by non-research stakeholders. In this context, this article proposes a 3D virtual geographic environment for flood representation towards risk communication, which integrates flood modelling, parallel computation, and 3D representation in a pipeline. Finally, a section of the Rhine River in Bonn, Germany, is selected for experiment analysis. The experimental results show that the proposed approach is capable of flood modelling and 3D representation within a few hours, the parallel speedup ratio reached 6.45. The intuitive flood scene with 3D city models is beneficial for promoting flood risk communication and is particularly helpful for participants without direct experience of floods to understand its spatiotemporal process. It also can be embedded in the Geospatial Infrastructure Management Ecosystem (GeoIME) cloud application for intelligent flood systems.

中文翻译：

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用于洪水表示和风险沟通的 3D 虚拟地理环境

风险沟通力求在利益相关者之间形成对灾害的共同理解，从而增强公众意识，使他们能够更有效地应对紧急情况。然而，现有的研究过分强调专门的数值模型，使得专业输出难以被非研究利益相关者理解和使用。在此背景下，本文提出了一种用于风险沟通的洪水表示的 3D 虚拟地理环境，它将洪水建模、并行计算和管道中的 3D 表示集成在一起。最后选取德国波恩莱茵河的一段进行实验分析。实验结果表明，该方法能够在数小时内完成洪水建模和3D表示，并行加速比达到6.45。直观的洪水场景和3D城市模型有利于促进洪水风险沟通，特别有助于没有直接经历洪水的参与者了解其时空过程。它还可以嵌入到智能洪水系统的地理空间基础设施管理生态系统 (GeoIME) 云应用程序中。