Types and statistical analysis of rip currents at 14 beaches in the Guangdong Province

Hu Pengpeng; Li Zhiqiang; Zhu Daoheng; Su Qianxin; Li Gaocong

doi:10.12284/hyxb2022037

Volume 44 Issue 6

Jul. 2022

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Hu Pengpeng，Li Zhiqiang，Zhu Daoheng, et al. Types and statistical analysis of rip currents at 14 beaches in the Guangdong Province[J]. Haiyang Xuebao，2022, 44(6)：140–149 doi: 10.12284/hyxb2022037

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Types and statistical analysis of rip currents at 14 beaches in the Guangdong Province

doi: 10.12284/hyxb2022037

School of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China

Received Date: 2021-05-10
Accepted Date: 2022-02-11
Rev Recd Date: 2021-09-28
Publish Date: 2022-07-13

Abstract

Abstract

Rip current is a kind of high speed offshore current which occurs frequently in coastal. Based on Castelle’s rip current classification model, Google Earth images of 14 beaches in Guangdong Province were interpreted and classified, and the application of rip current classification model in remote sensing images was discussed. The results show that in high risk months, the composition of rip currents is relatively simple, the mixed rips are few, and the bathymetrically-controlled rip currents play a dominant role, and the number of rip currents remains at a high level. In the middle risk months, the proportion of hydrodynamically-controlled rip currents and mixed rips increases, while the proportion of bathymetrically-controlled rip currents still has a certain proportion. There is little or no rip currents in low-risk months. The structure of rip current is closely related to the state of beach. For the beach in the bay, the length of the bay affects the number of rip currents, and the concave degree of the bay affects the composition ratio of different types of rip currents. Considering the limitations of experimental conditions, this law needs to be further studied and verified in combination with the actual terrain and landform. The classification results obtained according to the interpretation criteria presented in this paper are in good agreement with the risk evaluation model proposed by previous authors, which further demonstrates the effectiveness of the interpretation criteria and provides some reference value for the future research and classification of rip currents.
- rip current classification,
- visual interpretation,
- risk estimate,
- beach state

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References(38)

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