Geographical Research, Volume. 39, Issue 6, 1269(2020)

Morphodynamic classification of beaches on the coast of Leizhou Peninsula

Shibing ZHU1,1, Zhiqiang LI1,1, Huiling ZHANG2,2, Chunhua ZENG2,2, and Haiyin CHEN2,2
Author Affiliations
  • 1College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China
  • 1广东海洋大学电子与信息工程学院,湛江 524088
  • 2College of Ocean Engineering, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China
  • 2广东海洋大学海洋工程学院,湛江 524088
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    Beach morphodynamic provides a theoretical framework for understanding the beach morphology and coastal dynamic environment, and has important guiding significance in beach protection and development. In order to determine the beach classification on the Leizhou Peninsula, 7 quantifiable beach characteristics about geological background, beach morphology, beach sedimentation and coastal dynamic factors were selected. Results show that: (1) beaches on the Leizhou Peninsula coast can be divided into 6 groups: reflective group, low tide terrace/reflective group (with rip current), sand bar-trough/middle state group, barred dissipative group, ultra-dissipative group and low tide terrace/reflective group (without rip current). (2) Wave, tide, sediment characteristics and coastal background of geological structure have different effects on the beach state in the study area. Factors have different influences on different coastal sections on Leizhou Peninsula. Geological background is an important factor in beach classification. (3) Because the Ω-RTR model is more focused on dynamic and sedimentary factors in identifying beach state, classification results derived from Ω-RTR model are slightly different from those from cluster analysis. As a whole, the Ω-RTR model can effectively distinguish beach state type and is an effective means to understand beach morphodynamic system.

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    Shibing ZHU, Zhiqiang LI, Huiling ZHANG, Chunhua ZENG, Haiyin CHEN. Morphodynamic classification of beaches on the coast of Leizhou Peninsula[J]. Geographical Research, 2020, 39(6): 1269

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    Paper Information

    Received: May. 29, 2019

    Accepted: --

    Published Online: Oct. 9, 2020

    The Author Email:

    DOI:10.11821/dlyj020190444

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