| 摘要: |
| 划分海岸应从海洋地貌学视角考虑，根据形状、成因、物质构造和发育演化等阶段，提供具体的划分方法，从而了解海岸的地形动力特性，这对海岸工程技术研究和防护、旅游发展等方面有重要意义。本文对山东半岛砂质海滩进行海洋动力地貌分类界定，根据地貌背景、海滨地貌形态、海滨沉积物类型和海洋动力要素等，选取了六个特征作为系统聚类因子。运用海滩相对潮差分类模型（Ω-RTR模型），结合聚类分析，确定了山东半岛43个海滩的地貌动态特征，并对这43个海滩的类型进行了讨论，结果表明:①可将山东半岛海滩归为六种不同的海滩状况，分别为:低潮沙坝/裂流海滩/超消散组、中间状态组/消散组（无沙坝）、超消散组、消散组（沙坝-槽谷）、低潮阶地和反射组。②聚类分析方式和Ω-RTR模式的结论基本相同，在部分沙滩的分类结论上略有不同。但总体上仍能够合理划分海滩种类，有助于理解海滩的动力地貌系统。 |
| 关键词: 地貌特征 海滩分类 Ω-RTR模型 聚类分析 山东半岛 |
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| 基金项目:NSFC-山东联合重点基金(U1806227)；NSFC-山东联合重点基金(U1906231) |
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| Classification of beach dynamic geomorphic features in Shandong Peninsula |
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zhanglili1, xinghao1, zhangxuri1, lihuaqing1, liuzongyu1, shihongyuan1, youzaijin2
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1.Ludong University;2.Dalian Maritime University
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| Abstract: |
| From the perspective of Marine geomorphology, it is necessary to provide a specific method to divide the coast according to its shape, genesis, material structure, development and evolution, so as to understand the topographic dynamic characteristics of the coast, which is of great significance to coastal engineering technology research and protection, tourism development and other aspects.?In this paper, the Marine dynamic geomorphology of sandy beaches in Shandong Peninsula is classified and defined. Six features are selected as systematic clustering factors according to geomorphological background, coastal geomorphology, coastal sediment type and Marine dynamic factors.?Based on the beach relative tidal range classification model (ω -RTR model) and cluster analysis, the geomorphic dynamic characteristics of 43 beaches in Shandong Peninsula are determined, and the types of the 43 beaches are discussed. The results show that: (1) The beaches in Shandong Peninsula can be classified into six different beach conditions.?They are low tide bar/split beach/excess dissipation group, intermediate state group/excess dissipation group (no bar), excess dissipation group, excess dissipation group (bar - trough valley), low tide terrace and reflection group.?(2) The conclusions of the cluster analysis method and THE ω -RTR model are basically the same, but the classification conclusions of some beaches are slightly different.?But on the whole, it can reasonably classify the beach types, which is helpful to understand the dynamic geomorphic system of the beach. |
| Key words: geomorphic features Beach classification Ω-RTR model Cluster analysis Shandong peninsula |