A statistical-process based approach for modelling beach profile variability

A statistical-process based approach for modelling beach profile variability
复制标题

基于统计过程的海滩剖面变化建模方法

DOI:
10.1016/j.coastaleng.2013.06.006
复制
发表时间:
2013
影响因子:
4.4
通讯作者:
H. Karunarathna
H. Karunarathna
中科院分区:
工程技术1区
文献类型:
--
作者:
Douglas Pender;H. Karunarathna

文献摘要

被引文献

相似文献

本文提出了一种模拟中期(年至十年)跨海岸海滩剖面变化和侵蚀的方法。这里提出的基于过程的方法(SPA)结合了详细的统计模拟离岸风暴气候与基于过程的形态动力学模型(XBeach),以评估和量化跨海岸海滩剖面的形态动力学变化。到目前为止,基于过程的模型的使用仅限于风暴事件时间尺度的模拟。因此,这种方法代表了在长期模拟中首次应用完全基于过程的模型,因此,该方法需要模拟风暴后海滩剖面恢复以及单个事件的影响。Narrabeen海滩,新南威尔士州,澳大利亚被用作一个案例研究的应用程序的技术,由于一个广泛的风暴和海滩剖面数据的可用性。这里提出的结果表明,该方法产生令人鼓舞的结果,用于确定中期海滩剖面变异和侵蚀。
This paper presents a methodology for modelling medium term (annual to decadal) cross shore beach profile change and erosion. The statistical-process based approach (SPA) presented here combines detailed statistical modelling of offshore storm climate with a process based morphodynamic model (XBeach), to assess, and quantify morphodynamic variability of cross shore beach profiles. Until now, the use of process based models has been limited to simulations at storm event timescales. This methodology therefore represents the first application of a fully process based model in longer term simulations, as such, the approach requires simulation of post-storm beach profile recovery as well as individual event impacts. Narrabeen Beach, NSW, Australia was used as a case study for application of the technique due to the availability of an extensive set of storm and beach profile data. The results presented here demonstrate that the methodology produces encouraging results for determining medium term beach profile variability and erosion.