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Effects of storm clustering on beach/dune evolution

机译:风暴聚集对海滩/沙丘演变的影响

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摘要

Impacts of storm clustering on beach/dune morphodynamics were investigated by applying the state-of-the-art numerical model XBeach to Formby Point (Sefton coast, UK). The adopted storm cluster was established by analysing the observed winter storms from December 2013 to January 2014 using a storm threshold wave height The first storm that occurred during this period is regarded as exceptionally intense, and the occurrence of such a cluster of events is very unusual. AID model was setup for the highly dynamic cross-shore at Formby Point After initial calibration of the model parameters against available post-storm profile data, the model was used for the simulation of the storm cluster. It was assumed that no beach recovery occurred between adjacent storms due to the very short time intervals between storms. As a result, the final predicted post-storm profile of the previous storm was used as the pre-storm profile of the subsequent storm. The predicted evolution during each storm was influenced by the previous storms in the cluster. Due to the clustering effect, the bed level change is not proportional to the storm power of events within the cluster, as it would be in an individual storm case. Initially, the large storm events interact with the multi-bared foreshore enabling the subsequent weaker storms to influence the upper beach and lower dune system. This results in greater change at the dune toe level also during less severe subsequent storms. It is also shown that the usual water level threshold used to define dune erosion is over predicted by about 1 m for extreme storm conditions. The predicted profile evolution provides useful insights into the morphodynamic processes of beach/dune systems during a storm cluster (using Formby Point as an example), which is very useful for quantifying the clustering effects to develop tools for coastal management (C) 2015 Elsevier B.V. All rights reserved.
机译:通过将最新的数值模型XBeach应用于Formby Point(英国,塞夫顿海岸),研究了风暴聚类对海滩/沙丘形态动力学的影响。所采用的风暴群是通过使用风暴阈值波高分析2013年12月至2014年1月观察到的冬季风暴而建立的。在此期间发生的第一场风暴被认为是异常强烈,并且此类事件的发生非常罕见。在Formby Point为高动态跨岸建立了AID模型。根据可用的暴风雨后剖面数据对模型参数进行了初始校准之后,将该模型用于风暴群的仿真。假定由于风暴之间的时间间隔很短,相邻风暴之间没有海滩恢复发生。结果,将先前风暴的最终预测风暴后轮廓用作后续风暴的风暴前轮廓。每次风暴期间的预测演变受群集中先前风暴的影响。由于集群效应,床位变化与集群内事件的风暴强度不成正比,就像在单个风暴案例中那样。最初,大型风暴事件与多裸露的滨海相互作用,从而使随后的较弱风暴影响上滩和下沙丘系统。这也导致随后沙尘暴程度较小时沙丘脚趾处的变化更大。还显示出,用于定义沙丘侵蚀的通常水位阈值在极端暴风雨条件下被高估了约1 m。预测的剖面演变提供了有用的洞察力,可用于了解暴风雨期间海滩/沙丘系统的形态动力学过程(以福比比点为例),这对于量化聚类影响以开发用于海岸管理的工具非常有用(C)2015 Elsevier BV版权所有。

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