The identification of the areas with high seismic risk for industrial buildings is of paramount importance for decision-makers to implement risk reduction policies. In this context, this study aims at performing a low-LOD (Level of Detail) code-driven identification of areas in Italy where industrial buildings face high seismic risk. Firstly, the hazard, vulnerability, and exposure models are introduced. Then, such input data are validated by comparing the predictions of the proposed framework with the observational data obtained after the Emilia-Romagna earthquakes of 2012. The validated framework is used to predict the conditional (to a certain return period) and unconditional risk in terms of elements-at-risk and economic losses. The unconditional risk in terms of economic losses expressed in terms of Expected Annual Losses (EAL) is used to rank areas in Italy in terms of seismic risk for industrial buildings. As expected, the area hit by the Emilia-Romagna earthquakes in 2012 is included among those with the highest seismic risk, indicating the predictability of large damage occurred on industrial buildings during the seismic event. Finally, some conclusions are drawn about the implications for future policies and studies for seismic risk reduction of industrial buildings in Italy.

中文翻译：

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低LOD代码驱动的意大利工业建筑高地震危险区域识别

识别工业建筑中地震危险性高的区域对于决策者实施降低风险的政策至关重要。在这种情况下，本研究旨在对工业建筑物面临高地震风险的意大利地区进行低LOD（详细程度）代码驱动的识别。首先，介绍了危害，脆弱性和暴露模型。然后，通过将拟议框架的预测与2012年艾米利亚-罗马涅大地震后获得的观测数据进行比较，来验证这些输入数据。经过验证的框架用于预测有条件（在一定的回报期内）和无条件风险处于危险之中的要素和经济损失。经济损失方面的无条件风险，以预期的年度损失（EAL）用于根据工业建筑物的地震风险对意大利地区进行排名。不出所料，2012年艾米利亚—罗马涅大地震造成的地区被包括在地震风险最高的地区之中，这表明在地震事件中对工业建筑物造成的重大破坏具有可预测性。最后，得出一些结论，说明其对意大利减少工业建筑地震风险的未来政策和研究的意义。