首页> 外文期刊>Proceedings of the International Conference on Coastal Engineering >QUANTIFYING NEARSHORE MORPHOLOGICAL RECOVERY TIME SCALES USING ARGUS VIDEO IMAGING: PALM BEACH, SYDNEY AND DUCK, NORTH CAROLINA
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QUANTIFYING NEARSHORE MORPHOLOGICAL RECOVERY TIME SCALES USING ARGUS VIDEO IMAGING: PALM BEACH, SYDNEY AND DUCK, NORTH CAROLINA

机译:使用阿格斯视频影像量化近海形态恢复时间尺度:北卡罗来纳州棕榈滩,悉尼和鸭子

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Time scales of post-storm nearshore morphological recovery and physical processes governing these time scales are poorly understood at present. The ability to predict nearshore morphological recovery time scales based on pre-, during- or post-resetting storm conditions is an essential requirement for building and validating scale aggregated models that operate at macro- and higher spatio-temporal scales. In this study, quality controlled ARGUS video derived beach states at Palm Beach, Sydney (4 years) and Duck, NC (2 years) and concurrent wave data are analysed to quantify the nearshore morphological recovery time scales (Tmr) and to determine the physical processes that may govern Tmr. The results show that Tmr is of the order of 5-10 days at these two beaches. Tmr is moderately positively correlated with the averaged longshore current over the 3 days immediately after the resetting storm, indicating that it might be possible to develop a predictor for Tmr based on wave conditions immediately after the resetting storm. Weak correlations are present between Tmr and several pre-storm, during-storm and post-storm parameters at the two sites. However, these correlations are inconsistent between the two sites. A thorough analysis employing long-term beach state and wave data at several different study sites is required to fully understand this phenomenon.
机译:目前对风暴后近岸形态恢复的时间尺度和控制这些时间尺度的物理过程知之甚少。基于重置前,重置中或重置后风暴条件来预测近岸形态恢复时间尺度的能力是构建和验证在宏观和时空尺度上运行的尺度集合模型的基本要求。在这项研究中,分析了在悉尼棕榈滩(4年)和北卡罗来纳州达克(2年)的质量受控的ARGUS视频得出的海滩状态以及并行波数据,以量化近岸形态恢复时间尺度(Tmr)并确定物理可能控制Tmr的过程。结果表明,这两个海滩的Tmr约为5-10天。 Tmr与重置风暴后3天的平均近岸海流呈正相关,这表明可能有可能根据重置风暴后的海浪状况开发Tmr预测因子。 Tmr与两个地点的几个暴风前,暴风中和暴风后参数之间存在弱相关性。但是,这两个站点之间的相关性不一致。需要对在几个不同研究地点的长期海滩状态和海浪数据进行彻底的分析,才能完全理解这种现象。

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