Abstract Flooding and other natural disasters pose risks to cities and residential homes, and these are set to increase in the face of climate change. Single-family residential buildings are of particular interest because they are difficult to insure and often highlight wealth discrepancies in society in the wake of natural disasters. Calculating building replacement cost based on a specific natural disaster is of interest to municipalities and city planners who are working to prepare their cities for potential future costs of recovery. There are models designed by flood modellers, and there are models designed by city planners. This paper presents a novel Indicator Modelling Framework (IMF) by bringing together a model from the flooding domain (HAZUS) and a model from the geospatial application domain (e.g. CityGML) and weaving them together. The weaving process automatically calculates the building replacement cost for buildings based on a flood scenario as well as generates domain-specific metadata. The weaving process capitalizes on the strengths of both models, and future work will focus on weaving between models in other domains.

中文翻译：

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基于指标建模框架的 3D 洪水损失成本估算

摘要 洪水和其他自然灾害给城市和住宅带来了风险，而且随着气候变化，这些风险将会增加。单户住宅建筑特别受关注，因为它们难以投保，并且经常在自然灾害之后突出社会贫富差距。根据特定的自然灾害计算建筑物重置成本对正在努力为城市应对未来潜在恢复成本的市政当局和城市规划者感兴趣。有洪水建模者设计的模型，也有城市规划者设计的模型。本文通过将来自洪泛域 (HAZUS) 的模型和来自地理空间应用域 (例如 CityGML) 的模型结合在一起并将它们编织在一起，提出了一种新颖的指标建模框架 (IMF)。编织过程会根据洪水场景自动计算建筑物的建筑物更换成本，并生成特定于域的元数据。编织过程利用了两种模型的优势，未来的工作将侧重于其他领域模型之间的编织。