Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment

Compound Effects of Flood Drivers and Wetland Elevation Correction on Coastal Flood Hazard Assessment
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洪水驱动因素和湿地高程修正对沿海洪水灾害评估的复合效应

DOI:
10.1029/2020wr027544
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发表时间:
2020
影响因子:
5.4
通讯作者:
H. Moradkhani
H. Moradkhani
中科院分区:
地球科学1区
文献类型:
--
作者:
D. Muñoz;H. Moftakhari;H. Moradkhani

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复合洪水经常威胁到生活在低洼沿海地区的人们的生命和财产。极端事件的共同出现或顺序(例如,高河流流量和极端的沿海水位)是至关重要的,因为它可能导致洪水危害,其潜在影响大于孤立的每一个极端。在这里,我们使用一个耦合的方法,即,二元统计分析与水动力学建模,量化复合效应的洪水驱动程序,并产生洪水灾害地图附近的萨凡纳,格鲁吉亚。此外,我们集成湿地高程校正的数字高程模型,以提高复合事件的水动力模拟,因此洪水灾害(淹没和速度)地图的准确性。使用统计方法,我们分析了陆地/沿海洪水驱动因素和湿地高程校正对50年一遇情景下最大洪水高度(MFH)和流速(MFV)的复合影响。此外,我们将我们的结果与2016年10月袭击西大西洋海岸的飓风马修的MFH和MFV模式进行了比较。统计措施表明,情景之间的显着差异,部分解释了湿地海拔校正。淹没和流速图表明,一个拟议的复合方案,即边际Q、边际H和"与"方案的综合方案,可以导致湿地区域内MFH的最低平均低估(− 0.35 m)和MFV的最高估计(0.20 m/s)。我们的结论是,一个彻底的复合洪水评估应利用统计分析和极端的水动力学建模,包括沿海数字高程模型的校正。
Compound flooding frequently threatens life and assets of people who live in low‐lying coastal regions. Co‐occurrence or sequence of extremes (e.g., high river discharge and extreme coastal water level) is of paramount importance as it may result in flood hazards with potential impacts larger than each extreme in isolation. Here, we use a coupled approach, that is, bivariate statistical analysis linked to hydrodynamic modeling, to quantify compounding effects of flood drivers and generate flood hazard maps near Savannah, Georgia. Also, we integrate wetland elevation correction in digital elevation models to improve hydrodynamic simulations of compound events and hence the accuracy of flood hazard (inundation and velocity) maps. Using statistical measures, we analyze compounding effects of terrestrial/coastal flood drivers and wetland elevation correction on maximum floodwater height (MFH) and velocity (MFV) for 50‐year return period scenarios. In addition, we compare our results to MFH and MFV patterns of Hurricane Matthew that hit the West Atlantic Coasts on October 2016. The statistical measures indicate significant differences among the scenarios, partly explained by wetland elevation correction. Inundation and velocity maps suggest that a proposed composite, that is, synthesis of marginal Q, marginal H, and “AND” scenarios, can lead to the lowest average underestimation of MFH (−0.35 m) and overestimation of MFV (0.20 m/s) within wetland areas. We conclude that a thorough compound flooding assessment should leverage statistical analysis and hydrodynamic modeling of extremes including corrections of coastal digital elevation models.
DOI: 10.1061/9780784482797.069
发表时间: 2020
期刊: Geotechnical Special Publication No. 316
影响因子: --
作者:
Jasim, Firas H.;Vahedifard, Farshid;Alborzi, Aneseh;Moftakhari, Hamed;AghaKouchak, Amir
通讯作者: AghaKouchak, Amir
DOI: 10.5194/nhess-20-489-2020
发表时间: 2020-02-21
影响因子: 4.6
作者:
Couasnon, Anais;Eilander, Dirk;Ward, Philip J.
通讯作者: Ward, Philip J.
复合极端事件分析的多灾害情景
DOI: 10.1029/2018gl077317
发表时间: 2018
影响因子: 5.2
作者:
Sadegh, Mojtaba;Moftakhari, Hamed;Gupta, Hoshin V.;Ragno, Elisa;Mazdiyasni, Omid;Sanders, Brett;Matthew, Richard;AghaKouchak, Amir
通讯作者: AghaKouchak, Amir
DOI: 10.1038/s41467-019-12808-z
发表时间: 2019-10-29
影响因子: 16.6
作者:
Kulp, Scott A.;Strauss, Benjamin H.
通讯作者: Strauss, Benjamin H.