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System Dynamics Flood Modeling Framework for Dam Failure Evacuation Planning in Developing Countries

机译:发展中国家大坝失灵疏散规划的系统动力学洪水建模框架

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Currently, available flood modeling approaches require High-Performance Computing (HPC) software and high-resolution terrain data. Developing countries with unstable dams face challenges in accessing these technologies and acquiring the required data elements. This project developed a dynamic flood modeling methodology, using established hydrological assumptions, that implemented simulation and optimization models to determine safe evacuation routes by using public datasets, publicly available technical expertise, and common computing capabilities. The Péligre Dam in Haiti was the case study site since data from an HPC model was available for results comparison. QGIS was used to extract the “water flow factors” which are: (i) channel slope, turns, and shape; (ii) major channel obstructions and channel terrain; (iii) floodplain shape; and (iv) major floodplain obstructions and floodplain terrain. A system dynamics model was created to simulate water flow as a function of time using Vensim. This model used the water flow factors as inputs and produced the following key outputs: (i) volumetric flow rate $(mathrm{Q}_{mathrm{i},mathrm{t}})$, (ii) water height over time $(mathrm{h}_{mathrm{i},mathrm{t}})$, (iii) time when actual flooding begins (ChannelMAX), and (iv) time of maximal flooding (FloodplainMAX). The results were plotted, and the root mean square errors were calculated to visualize the extent to which the results from the systems dynamics model compare with the HPC software results. Evacuation routes were modeled with the shortest path algorithm by minimizing the feasible travel distance between at-risk populated areas and safe-high-ground areas with route constraints based on the system dynamics model’s output. The validity of the results demonstrates that the proposed methodology can adequately model inundation and reliable evacuation routes for dam failure scenarios in developing countries.
机译:当前,可用的洪水建模方法需要高性能计算(HPC)软件和高分辨率地形数据。大坝不稳定的发展中国家在获取这些技术和获取所需数据元素方面面临挑战。该项目使用已建立的水文假设,开发了一种动态洪水建模方法,该方法通过使用公共数据集,可公开获得的技术专长和通用计算能力来实施模拟和优化模型,以确定安全的疏散路线。海地的Péligre大坝是案例研究地点,因为可以使用HPC模型中的数据进行结果比较。 QGIS用于提取“水流因子”,它们是:(i)通道坡度,转弯和形状; (ii)主要航道阻塞物和航道地形; (iii)洪泛区形状; (iv)洪泛区主要障碍物和洪泛区地形。使用Vensim创建了系统动力学模型,以模拟水流量随时间的变化。该模型使用水流量因子作为输入,并产生以下主要输出:(i)体积流量$(\ mathrm {Q} _ {\ mathrm {i},\ mathrm {t}})$,(ii)水随时间的高度$(\ mathrm {h} _ {\ mathrm {i},\ mathrm {t}})$,(iii)实际洪水开始的时间(通道 MAX ),以及(iv)最大水浸时间(Floodplain MAX )。将结果绘制成图,并计算均方根误差,以可视化系统动力学模型的结果与HPC软件结果相比的程度。使用最短路径算法对疏散路线进行建模,方法是根据系统动力学模型的输出,通过将路线约束限制在高风险人口密集区与安全高地面区之间,以将可行的行驶距离最小化。结果的有效性表明,所提出的方法可以为发展中国家的大坝倒塌场景充分地模拟淹没和可靠的撤离路线。

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