ABSTRACT

Flood visualization is an effective and intuitive tool for representing flood information from abstract spatiotemporal data. With the growing demand for flood disaster visualizations and mitigation, augmented flood visualizations that support decision makers’ perspectives are needed, which can be enhanced by emerging augmented reality (AR) and 3D printing technologies. This paper proposes an innovative flood AR visualization method based on a 3D-printed terrain model and investigates essential techniques, such as the suitable size calculation of the terrain models, the adaptive processing of flood data, and hybridizing virtual flood and terrain models. A prototype experimental system (PES) based on the proposed method and a comparison experimental system (CES) based on a virtual terrain are developed to conduct comparative experiments, which combine the system performance and questionnaire method to evaluate the efficiency and usability of the proposed method. The statistical results indicate that the method is useful for assisting participants in understanding the flood hazard and providing a more intuitive and realistic visual experience compared with that of the traditional AR flood visualization method. The frame rate is stable at 60 frames per second (FPS), which means that the proposed method is more efficient than the traditional AR flood visualization method.

摘要

洪水可视化是一种有效且直观的工具，用于表示抽象时空数据中的洪水信息。随着对洪水灾害可视化和减灾的需求不断增长，需要支持决策者观点的增强型洪水可视化，可以通过新兴的增强现实（AR）和3D打印技术来增强。本文提出了一种基于3D打印的地形模型的创新洪水AR可视化方法，并研究了必要的技术，例如合适的地形模型大小计算，洪水数据的自适应处理以及虚拟洪水和地形模型的混合。开发了基于该方法的原型实验系统（PES）和基于虚拟地形的比较实验系统（CES）进行比较实验，结合系统性能和问卷调查方法来评估该方法的效率和可用性。统计结果表明，与传统的AR洪水可视化方法相比，该方法有助于协助参与者了解洪水灾害，并提供更直观和逼真的视觉体验。帧速率稳定在每秒60帧（FPS），这意味着所提出的方法比传统的AR Flood可视化方法更有效。统计结果表明，与传统的AR洪水可视化方法相比，该方法有助于协助参与者了解洪水灾害，并提供更直观，逼真的视觉体验。帧速率稳定在每秒60帧（FPS），这意味着所提出的方法比传统的AR Flood可视化方法更有效。统计结果表明，与传统的AR洪水可视化方法相比，该方法有助于协助参与者了解洪水灾害，并提供更直观和逼真的视觉体验。帧速率稳定在每秒60帧（FPS），这意味着所提出的方法比传统的AR Flood可视化方法更有效。