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Use of the ADCIRC Storm Surge Model for Hurricane Katrina Surge Predictions and Levee Forensic Studies

机译:ADCIRC风暴潮模型在卡特里娜飓风浪潮预报和法医学研究中的应用

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Recognizing that coastal Louisiana is super susceptible to storm surges, researchers from LSU started providing emergency managers with storm surge forecasts generated by the Advanced CIRCulation hydrodynamic model (ADCIRC) in 2002. During Katrina LSU issued five surge forecasts over the two days prior to landfall. Model output was made available in near-real-time (www.hurricane.lsu.edu/floodprediction). One advisory was run post landfall. Hurricane Katrina made landfall in Louisiana as a moderately fast-moving Category 3 hurricane 29th of August, 2005. Of the populated areas that constitute Greater New Orleans (GNO), 80 percent of Orleans Parish, 99 percent of St. Bernard Parish, and approximately 40 percent of Jefferson Parish were flooded, in some cases for weeks. This flooding cost the lives of more than 1,500 residents. Over 100,000 families were rendered homeless. High water marks (HWMs) acquired outside the flood protection levees permitted assessment of the accuracy of the LSU ADCIRC forecasts. The surge forecast associated with the most intense storm prediction pre-landfall produced the best overall match to observed values, resulting in a predicted GNO mean peak elevation of 3.65 m, 0.18 m lower than the observed (3.83 m). The RMS error overall was 0.60 m. The post-storm simulation produced a mean elevation (3.75 m) only 0.08 m lower than the observed mean, but with a larger RMS error (0.72 m) than the best pre-landfall. Surge forecasts show where levees are challenged and can also provide an estimate of the volume of water that would have been introduced if the levees and floodwalls had not failed. Overtopping predicted by ADCIRC would have delivered far less water than what actually entered the city, ranging from 11 percent in St. Bernard to 37 percent in Orleans East. Just under 60 percent of the nearly 23,000 ha that were submerged would not have experienced standing water. On average, breaches are estimated to have transmitted nearly 84 percent of the observed GNO flood volume. Because breaching played such a dominant role, processes that led to the initiation and expansion of breaches greatly influenced the volume of water introduced into each polder.
机译:LSU的研究人员意识到路易斯安那州沿海地区极易受到风暴潮的影响,因此开始向应急管理人员提供2002年由高级循环水动力模型(ADCIRC)生成的风暴潮预报。在卡特里娜飓风期间,LSU在登陆前两天发布了五次风暴潮预报。模型输出几乎实时可用(www.hurricane.lsu.edu/floodprediction)。一名顾问在登陆后运行。卡特里娜飓风于2005年8月29日在路易斯安那州以适度快速移动的3级飓风登陆。在构成新奥尔良(GNO)的人口稠密地区中,奥尔良教区的80%,圣伯纳德教区的99%,以及大约40%的杰斐逊教区被洪水淹没,在某些情况下持续了数周。这次洪灾使超过1,500名居民丧生。超过100,000个家庭无家可归。在防洪堤之外获得的高水位线允许评估LSU ADCIRC预报的准确性。与最强烈的风暴预报登陆前相关的浪涌预报与观测值产生了最佳的整体匹配,从而导致预测的GNO平均峰高为3.65 m,比观测值(3.83 m)低0.18 m。总体RMS误差为0.60 m。暴风后的模拟产生的平均高程(3.75 m)仅比观测到的平均低0.08 m,但比最佳着陆前的RMS误差(0.72 m)大。浪涌预测显示了堤防在何处受到挑战,并且还可以估算如果堤防和防洪墙没有倒塌将引入的水量。 ADCIRC预测的超车所提供的水量将比实际进入城市的水量少得多,范围从圣伯纳德的11%到奥尔良东部的37%。在被淹没的近23,000公顷中,不到60%的人不会遇到积水。平均而言,据估计,破坏已传播了所观测到的GNO洪水量的近84%。由于破坏发挥了主导作用,导致破坏的引发和扩展的过程极大地影响了每个田中注入的水量。

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