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Implementation of an Implicit Solver in ADCIRC Storm Surge Model

机译:ADCIRC风暴潮模型中隐式求解器的实现

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The current state of science does not offer any remedy to stop a hurricane from occurring. Therefore, accurate storm surge models capable of predicting water velocity and elevation are indispensable. In this paper, the implementation of an implicit solver in the Advanced Circulation (ADCIRC) storm surge model is presented. The implemented implicit solver uses hybrid finite element and finite volume techniques for solving shallow water equations. Objectives of this research include: Enhancing numerical stability, providing an option of using large timesteps, and the usage of a relatively easier mathematical formulation than the existing one in ADCIRC. The storm surge hindcast of Hurricane Katrina that hit Louisiana and Mississippi in 2005 is used as a case study. Stability of the solver, comparison of water elevation and velocity against observed data, impact of timestep sizes, and execution times of solvers are thoroughly investigated in this study. Results of the implemented implicit solver are compared with those of existing lumped explicit and semi-implicit solvers of ADCIRC; the findings appear to be very promising.
机译:当前的科学状态没有提供任何补救措施来阻止飓风的发生。因此,必不可少的是能够预测水流速度和水位的准确的风暴潮模型。本文提出了一种在高级循环(ADCIRC)风暴潮模型中的隐式求解器的实现。所实现的隐式求解器使用混合有限元和有限体积技术来求解浅水方程。这项研究的目的包括:增强数值稳定性,提供使用较大时间步长的选项,以及使用比ADCIRC中现有的数学公式相对简单的数学公式。案例研究使用了2005年袭击路易斯安那州和密西西比州的卡特里娜飓风的风暴潮后遗症。在此研究中彻底研究了求解器的稳定性,水位和流速与观测数据的比较,时步大小的影响以及求解器的执行时间。将实现的隐式求解器的结果与ADCIRC现有集总的显式和半隐式求解器的结果进行比较;该发现似乎很有希望。

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