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Sensitivity of Hurricane Storm Surge Numerical Simulations to Wetland Parameters in Corpus Christi, TX.

机译:德克萨斯州科珀斯克里斯蒂市飓风风暴潮数值模拟对湿地参数的敏感性。

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The State of Texas has historically faced hurricane-related damage episodes, with Ike being the most recent example. It is expected that, in the future, hurricanes will intensify due to climate change causing greater surges, while the attenuating effect of wetlands on storm surges will also be modified due to sea level rise changes in wetland vegetation type and spatial location. Numerical analysis of storm surges is an important instrument to predict and simulate flooding extent and magnitude in coastal areas. Most operational surge models account for the influence of wetlands and other vegetation by momentum loss due to friction at the bottom and by reduction of imposed wind stress. A coupled hydrodynamic model (ADCIRC) and wave model (SWAN) was employed, and wetlands were characterized using Manning's n, surface canopy, and surface roughness. The wetlands parameters were developed from the National Land Cover Dataset (NLCD) 1992 and 2001. The calibrated coupled model for the historical hurricane Bret was used to simulate the storm surge for each scenario. The results for the sensitivity analyses comparing the scenarios with parameters developed from NLCD datasets with four hypothetical scenarios considering very high and low Manning's n and wind stress (surface canopy) values showed that, for areas inside Nueces Bay, the storm surge high could vary up to four times depending on the parameter selection, for areas inside Corpus Christi Bay, the storm surge high varied around three times and behind the barrier island the storm surge high variation was less than three times. This study is a first step for an evaluation of the impact that sea level rise, climate changed wetlands, wetlands restoration, land use change, and wetlands degradation have on hurricane related surge elevation and extent in the city of Corpus Christi.
机译:得克萨斯州历来面临与飓风有关的破坏事件,艾克(Ike)是最近的例子。预计将来,由于气候变化导致更大的风暴潮,飓风将加剧,而由于湿地植被类型和空间位置的海平面上升变化,湿地对风暴潮的衰减作用也将被改变。风暴潮的数值分析是预测和模拟沿海地区洪水泛滥程度和程度的重要工具。大多数运行浪涌模型通过由于底部的摩擦导致的动量损失以及所施加的风应力的减小来说明湿地和其他植被的影响。采用了耦合的水动力模型(ADCIRC)和波浪模型(SWAN),并利用Manning's n,表面冠层和表面粗糙度对湿地进行了表征。湿地参数是根据1992年和2001年美国国家土地覆被数据集(NLCD)开发的。针对历史飓风Bret的校准耦合模型用于模拟每种情况下的风暴潮。敏感性分析的结果将情景与从NLCD数据集开发的参数进行了比较,并考虑了四种假设情景,这些情景考虑了非常高和很低的Manning n和风应力(表面冠层)值,结果表明,对于Nueces湾内的区域,风暴潮可能会有所变化取决于参数选择,是四倍,对于科珀斯克里斯蒂湾内的地区,风暴潮高变化约三倍,而在屏障岛后面,风暴潮高变化小于三倍。这项研究是评估科珀斯克里斯蒂市海平面上升,气候变化的湿地,湿地恢复,土地利用的变化以及湿地退化对飓风相关浪涌高度和范围的影响的第一步。

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