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The influence of coastal wetlands on hurricane surge and damage with application to planning under climate change.

机译:沿海湿地对飓风潮及其破坏的影响及其在气候变化下的规划应用。

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摘要

Coastal storm surges from hurricanes are one of the most costly natural disasters in the United States (US). Current research arguably indicates a mean sea-level (MSL) increase due to global warming, as well as an increase in damages caused by hurricanes under climate change. The objectives of this research are: 1) to develop a framework that integrates Geographical Information Systems (GIS) with hurricane storm surge numerical models; 2) to quantify the uncertainty derived from coastal land cover spatial data on hurricane storm surge; and 3) to investigate the potential impacts of SLR changes on land cover to hurricane storm surge and coastal damages.;Numerical analysis is an important tool for predicting and simulating storm surges for coastal structure design, planning and disaster mitigation. Here we proposed a framework to integrate Geographical Information Systems (GIS) with computational fluid dynamic (CFD) models used to simulate hurricane storm surge. The geodatamodel "Arc StormSurge" is designed to store geospatial information for hurricane storm surge modeling and GIS tools are designed to integrate the high performance computing (HPC) input and output files to GIS; pre-process geospatial data and post-process model results, thereby, streamlining the delineation of coastal flood maps.;Georeferenced information of land cover is used to define the frictional drag at the sea bottom and to infer modifications to the momentum transmitted to the water column by the winds. We investigated uncertainties in the surge response arising from land cover for Texas central bays considering several land cover datasets. The uncertainties were quantified based on the mean maximum surge response and inundated area extent.;Considering projected SLR, wetland composition and spatial distribution are also expected to change with coastal environmental conditions. Our results showed that wetland degradation by SLR increased the mean maximum surge for coastal bays. Direct damage to buildings and businesses was also significantly increased by the loss of wetlands due to SLR. Here, we demonstrated the importance of considering the effects of land cover and SLR to hurricane storm surge simulations for coastal structure design, floodplain delineation or coastal planning.
机译:飓风造成的沿海风暴潮是美国(美国)最昂贵的自然灾害之一。当前的研究可以说是由于全球变暖造成的平均海平面(MSL)上升,以及气候变化下飓风造成的破坏增加。这项研究的目标是:1)开发一个框架,将地理信息系统(GIS)与飓风风暴潮数值模型相集成; 2)量化从飓风风暴潮的沿海土地覆盖空间数据得出的不确定性; 3)研究单反变化对土地覆盖物对飓风风暴潮和沿海破坏的潜在影响。数值分析是预测和模拟风暴潮对海岸结构设计,规划和减灾的重要工具。在这里,我们提出了一个框架,用于将地理信息系统(GIS)与用于模拟飓风风暴潮的计算流体动力学(CFD)模型进行集成。地理数据模型“ Arc StormSurge”旨在存储用于飓风风暴潮建模的地理空间信息,而GIS工具则旨在将高性能计算(HPC)输入和输出文件集成到GIS;处理前的地理空间数据和处理后的模型结果,从而简化了沿海洪水图的描绘。土地覆盖物的地理参考信息用于定义海底的摩擦阻力并推断对传递给水的动量的修改列风。考虑到多个土地覆盖数据集,我们调查了得克萨斯州中央海湾土地覆盖引起的涌浪响应的不确定性。基于平均最大浪涌响应和淹没面积的程度对不确定性进行了量化。考虑到预计的单反,湿地成分和空间分布也将随沿海环境条件而变化。我们的结果表明,SLR造成的湿地退化增加了沿海海湾的平均最大涌浪。由于SLR造成的湿地丧失,对建筑物和企业的直接损害也大大增加了。在这里,我们证明了在沿海结构设计,洪泛区划定或沿海规划中考虑土地覆盖和SLR对飓风风暴潮模拟的影响的重要性。

著录项

  • 作者

    Ferreira, Celso Moller.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Civil engineering.;Ocean engineering.;Climate change.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 191 p.
  • 总页数 191
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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