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A Web-Based 3D Simulation Platform Aimed at Policy Makers for Estimating the Effects of Urban Heat Islands

机译:基于Web的3D模拟平台,旨在估算城市热群岛效果的决策者

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The prediction of microclimate effects within an urban context through simulations has previously been done through elaborate software packages that offer accurate results but require extensive domain knowledge and time for the preparation of a model. In day-to-day policymaking, however, these efforts may turn out to be a major limiting factor: Policymakers and city administrators need a quick tool that can predict the effects of urban interventions in a variety of possible scenarios rather than a full-fledged simulation study for a limited set of specific interventions. In our work, we have been seeking to address this mismatch in expectations by using the best of both worlds: We have approximated results from a full-fledged simulation that uses a Cellular Automaton running within a 3D city visualization. Policymakers can edit the urban context by changing cell types (placement of greenery, etc.), thus leading to scenarios that can be compared to the status quo. As a matter of fact, policymakers can use these comparisons to argue for measures that mitigate the effects of heat islands, without requiring extensive domain knowledge or the effort to prepare a simulation model.
机译:通过模拟预测城市背景下的微气候效应通过精心设计的软件包来完成,这些软件包提供准确的结果,但需要广泛的域名知识和时间来准备模型。然而,在日常的政策制定中,这些努力可能会成为一个主要的限制因素:政策制定者和城市管理员需要一个快速工具,可以快速的工具,可以预测城市干预在各种可能的情况下的影响而不是一个完整的情况一组特定干预措施的仿真研究。在我们的工作中,我们一直在寻求通过使用两个世界的最佳来解决这种不匹配的期望:我们有近似的来自一个完整的模拟的近似的结果,它使用在3D城市可视化内运行的蜂窝自动机。政策制定者可以通过改变细胞类型(绿化等)来编辑城市上下文,从而导致可以与现状相比的场景。事实上,政策制定者可以使用这些比较来争论减轻热群岛的影响的措施,而无需广泛的领域知识或准备模拟模型的努力。

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