Terefenko Paweł, Giza Andrzej, Śledziowski Jakub, Paprotny Dominik, Bučas Martynas, Kelpšaitė-Rimkienė Loreta
Institute of Marine and Environmental Sciences, University of Szczecin, Mickiewicza 16, 70-383 Szczecin, Poland.
Institute of Marine and Environmental Sciences, University of Szczecin, Mickiewicza 16, 70-383 Szczecin, Poland.
Sci Total Environ. 2024 Oct 15;947:174743. doi: 10.1016/j.scitotenv.2024.174743. Epub 2024 Jul 14.
Coastal soft cliffs are subject to changes related to both marine and subaerial processes. It is imperative to comprehend the processes governing cliff erosion and develop predictive models for effective coastal protection. The primary objective of this study was to bridge the existing knowledge gap by elucidating the intricate relationship between changes in cliff system morphology and the driving forces behind these changes, all within the context of ongoing climate change. Therefore in this study, we employed various quantitative numerical methods to investigate the factors influencing coastal cliffs and the adjacent beaches. Our analysis involved the extraction of several morphological indicators, derived from terrestrial laser scanning data, which were then used to assess how cliffs respond to extreme weather events. The data span two winter storm seasons (2016-2018) and encompass three soft-cliff systems situated along the southern Baltic Sea, each characterized by distinct beach and cliff morphology. We conducted a detailed analysis of short-term cliff responses using various data mining techniques, revealing intricate mechanisms that govern beach and cliff changes. This comprehensive analysis has enabled the development of a classification system for soft cliff dynamics. Our statistical analysis highlights that each study area exhibits a unique conditional dependency between erosion processes and hydrometeorological conditions, both during and between storm events. Furthermore, our findings underscore the vulnerability of cliff coastlines to extreme water levels and episodes of intense precipitation.
沿海软质悬崖会受到与海洋和陆地过程相关的变化影响。理解控制悬崖侵蚀的过程并开发预测模型以进行有效的海岸保护至关重要。本研究的主要目标是通过阐明悬崖系统形态变化与这些变化背后的驱动力之间的复杂关系来弥合现有知识差距，所有这些都在当前气候变化的背景下进行。因此，在本研究中，我们采用了各种定量数值方法来研究影响沿海悬崖和相邻海滩的因素。我们的分析涉及从地面激光扫描数据中提取几个形态指标，然后用这些指标来评估悬崖对极端天气事件的反应。数据涵盖两个冬季风暴季节（2016 - 2018年），包括波罗的海南部沿岸的三个软质悬崖系统，每个系统都有独特的海滩和悬崖形态。我们使用各种数据挖掘技术对悬崖的短期反应进行了详细分析，揭示了控制海滩和悬崖变化的复杂机制。这种全面分析促成了软质悬崖动力学分类系统的开发。我们的统计分析突出表明，每个研究区域在风暴事件期间和之间，侵蚀过程与水文气象条件之间都呈现出独特的条件依赖性。此外，我们的研究结果强调了悬崖海岸线对极端水位和强降水事件的脆弱性。
