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Application of a stochastic differential equation to the prediction of shoreline evolution

机译:随机微分方程在海岸线演化预测中的应用

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摘要

Shoreline evolution due to longshore sediment transport is one of the most important problems in coastal engineering and management. This paper describes a method to predict the probability distributions of long-term shoreline positions in which the evolution process is based on the standard one-line model recast into a stochastic differential equation. The time-dependent and spatially varying probability density function of the shoreline position leads to a Fokker-Planck equation model. The behaviour of the model is evaluated by applying it to two simple shoreline configurations: a single long jetty perpendicular to a straight shoreline and a rectangular beach nourishment case. The sensitivity of the model predictions to variations in the wave climate parameters is shown. The results indicate that the proposed model is robust and computationally efficient compared with the conventional Monte Carlo simulations.
机译:由于沿岸沉积物的运输,海岸线演变是沿海工程和管理中最重要的问题之一。本文描述了一种预测长期海岸线位置概率分布的方法,其中,演化过程是基于将标准单线模型重铸为随机微分方程的。海岸线位置随时间变化和空间变化的概率密度函数导致了Fokker-Planck方程模型。该模型的行为通过将其应用于两个简单的海岸线配置进行评估:垂直于直线海岸线的单个长码头和一个矩形海滩养护案例。显示了模型预测对波浪气候参数变化的敏感性。结果表明,与传统的蒙特卡洛模拟相比,该模型具有较强的鲁棒性和计算效率。

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