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A Detailed Hydrodynamic Study to Help Community Based Resiliency Planning Under Extreme Climatic and Weather Events

机译:在极端气候和天气事件下,详细的水动力研究可帮助基于社区的抗灾力规划

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摘要

The State of New Jersey is particularly vulnerable to extreme weather and climatic events. This study concentrates on spatial and temporal vulnerability of these events using climate and hydrodynamic modeling. The first chapter focuses on historical climatic trend of temperature and precipitation as well as the future scenarios using 10 bias corrected climate model output considering high end emission scenario derived from Coupled Model Intercomparison Project Phase 5 (CMIP5). In the second chapter a coastal hydrodynamic model called ADCIRC-2DDI was implemented to assess the impact of hurricanes in the Western North Atlantic (WNAT) model domain. The efficiency of the model in representing the complex interaction between storm-tide was assessed considering hurricane SANDY as a historical event. Multiple scenarios were also created to assess the impact of different categories of hurricane for Atlantic City, NJ. The last chapter deals with the inland flooding during extreme storm event. A 2D hydrodynamic model based on Shallow Water Equation (SWE) called TUFLOW was implemented to identify the dynamic spatial and temporal extent of inland flooding. Results from the TUFLOW were coupled with a traffic micro-simulation model to help emergency evacuation planning to help the vulnerable communities with decision making process.
机译:新泽西州特别容易受到极端天气和气候事件的影响。这项研究使用气候和流体动力学模型集中于这些事件的时空脆弱性。第一章着重于温度和降水的历史气候趋势,以及考虑到源自耦合模型比较项目第5阶段(CMIP5)的高端排放情景的,使用10偏差校正的气候模式输出的未来情景。在第二章中,实施了称为ADCIRC-2DDI的沿海水动力模型,以评估飓风对北大西洋西部(WNAT)模型域的影响。考虑到飓风桑迪是历史事件,评估了该模型表示风暴潮之间复杂相互作用的效率。还创建了多种方案来评估不同类别的飓风对新泽西州大西洋城的影响。最后一章讨论极端风暴事件中的内陆洪水。为了识别内陆洪水的动态时空范围,实施了基于浅水方程(SWE)的二维水动力模型,称为TUFLOW。 TUFLOW的结果与交通微观模拟模型相结合,可帮助紧急疏散计划,以帮助弱势社区制定决策程序。

著录项

  • 作者

    Fahad, Md Golam Rabbani.;

  • 作者单位

    Rowan University.;

  • 授予单位 Rowan University.;
  • 学科 Civil engineering.;Climate change.;Hydraulic engineering.
  • 学位 M.S.
  • 年度 2018
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:58

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