Institute of Estuarine and Coastal Research, School of Marine Science, Sun Yat-sen University, Guangzhou, 510275, China.
Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Guangzhou, 510275, China.
Sci Rep. 2017 Aug 2;7(1):7088. doi: 10.1038/s41598-017-07515-y.
Short-term bed-level dynamics has been identified as one of the main factors affecting biota establishment or retreat on tidal flats. However, due to a lack of proper instruments and intensive labour involved, the pattern and drivers of daily bed-level dynamics are largely unexplored in a spatiotemporal context. In this study, 12 newly-developed automatic bed-level sensors were deployed for nearly 15 months on two tidal flats with contrasting wave exposure, proving an unique dataset of daily bed-level changes and hydrodynamic forcing. By analysing the data, we show that (1) a general steepening trend exists on both tidal flats, even with contrasting wave exposure and different bed sediment grain size; (2) daily morphodynamics level increases towards the sea; (3) tidal forcing sets the general morphological evolution pattern at both sites; (4) wave forcing induces short-term bed-level fluctuations at the wave-exposed site, but similar effect is not seen at the sheltered site with smaller waves; (5) storms provoke aggravated erosion, but the impact is conditioned by tidal levels. This study provides insights in the pattern and drivers of daily intertidal bed-level dynamics, thereby setting a template for future high-resolution field monitoring programmes and inviting in-depth morphodynamic modelling for improved understanding and predictive capability.
短期床层动态已被确定为影响潮滩生物定殖或退缩的主要因素之一。然而,由于缺乏适当的仪器和密集的劳动力,每日床层动态的模式和驱动因素在时空背景下在很大程度上仍未得到探索。在这项研究中,12 个新开发的自动床层传感器在两个具有不同波浪暴露的潮滩上部署了近 15 个月,提供了独特的每日床层变化和水动力强迫数据集。通过分析数据,我们表明:(1) 在两个潮滩上都存在一般的变陡趋势,即使波浪暴露和床层泥沙粒径不同;(2) 每日形态动态水平向海增加;(3) 潮汐强迫在两个地点设定了一般的形态演化模式;(4) 波浪强迫在波浪暴露的地点引起短期床层水平波动,但在波浪较小的遮蔽地点则没有类似的影响;(5) 风暴引发了加剧的侵蚀,但影响受到潮汐水平的制约。本研究深入了解了每日潮间带床层动态的模式和驱动因素,为未来的高分辨率现场监测计划提供了模板,并邀请深入的形态动力学建模,以提高理解和预测能力。