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Forecasting of Hazard Zone due to Storm Surge Using SIND Model

机译:采用SIND模型因风暴浪涌引起的危险区预测

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We have developed the SIND (scientific interpolation for natural disasters) model to forecast natural hazard zone for storm surge. Most previous studies have been conducted to predict hazard zone with numerical simulations based on various scenarios. It is hard to predict hazard zone for all scenarios and to respond immediately because most numerical models are requested a long simulation time and complicated postprocess, especially in coastal engineering. Thus, in this study, the SIND model was developed to overcome these limitations. The principal developing methods are the scientific interpolation for risk grades and trial and error for parameters embedded in the governing equation. Even designed with hatch files, applying disaster characteristics such as the risk propagation, the governing equation for storm surge in coastal lines was induced from the mathematical solver, COMSOL Multiphysics software that solves partial differential equations for multiple physics using FEM method. The verification process was performed through comparison with the official reference, and the accuracy was calculated with a shape similarity indicating the geometric similarity of the hazard zone. It was composed of position, shape, and area criteria. The accuracy of about 80% in terms of shape similarity was archived. The strength of the model is high accuracy and fast calculation time. It took only less than few seconds to create a hazard map for each scenario. As future works, if the characteristics of other disasters would be understood well, it would be able to present risk propagation induced from each natural disaster in a short term, which should help the decision making for EAP.
机译:我们已经开发了SIND(科学插值)模型,预测风暴浪涌的自然灾害区。已经进行了最先前的研究以预测基于各种场景的数值模拟预测危险区。很难预测所有场景的危险区,并立即响应,因为大多数数值模型都要求长时间的仿真时间和复杂的后处理,尤其是在沿海工程中。因此,在本研究中,开发了Sind模型以克服这些限制。主要开发方法是管理方程中嵌入参数的风险成绩和试验和误差的科学插值。甚至设计有孵化文件,从数学求解器,COMSOL Multiphysics软件诱导沿海线路的风暴浪涌的控制方程,甚至设计有孵化文件,例如风暴传播,沿海线路的控制方程,用于使用FEM方法解决多个物理的部分微分方程。通过与官方参考进行比较来执行验证过程,并且使用表示危险区的几何相似性的形状相似性计算精度。它由位置,形状和区域标准组成。在形状相似度方面约为80%的准确性被归档。模型的强度是高精度和快速计算时间。为每个场景创建危险映射仅少于几秒钟。作为未来的作品,如果其他灾害的特征将很好地理解,它将能够在短期内呈现每次自然灾害所诱导的风险传播,这应该有助于获得EAP的决策。

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