Design and Analysis of a Buoy-Based Cable Seafloor Observatory System Response under Extreme Weather Conditions

Author:

Zhou Wenjie12,Li Yanjun1,Zhang Yulu12,Jiang Qingyan2,Chen Dong2,Gu Yanzhen12,Lin Yuan2ORCID

Affiliation:

1. Hainan Institute, Zhejiang University, Sanya 572025, China

2. Ocean College, Zhejiang University, Zhoushan 316021, China

Abstract

In order to address the requirements of scientific multidisciplinary observation in diverse small-scale regions, we have introduced the Buoy-based Cable Seafloor Observatory System (BCSOS). This system offers a distinct advantage in contexts where the use of shorter cables is feasible, contrasting with the lengthy cables typically necessary for conventional observatories. The BCSOS consists of three primary components: the Real-Time Electric Communication (RTEC) Buoy, the Power Information Transmission System (PITS), and the Seafloor Observation Subsystem (SOS). The RTEC Buoy is equipped with instruments for measuring sea surface parameters and serves as a data and power hub. The PITS, comprising a robust EM cable, connects the buoy to the SOS, which houses instruments for seafloor observations. The system is designed for a maximum water depth of 100 m and has an expected lifespan of about 5 years. The BCSOS prototypes were deployed at the Huangqi Peninsula, Fujian Province, and successfully documented the process during Typhoon Doksuri (international code 2305) at the end of July 2023. The recorded data from the BCSOS revealed a significant increase in wave height and period as the storm approached the Huangqi Peninsula. Additionally, the RTEC buoy exhibited a notable response to the large waves. The data analysis revealed a distinct pattern between the buoy response and the direction of wave propagation across various sea conditions, that the buoy’s angular movement in pitch and roll directions follows a regular elliptical distribution corresponding to different wave propagation directions. Upon thorough evaluation, future enhancements to the system are slated to concentrate on refining its design, with a particular emphasis on bolstering stability and enhancing corrosion resistance. These improvements are aimed at cementing the system’s long-term viability and performance within the challenging marine environment.

Funder

Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City

Natural Science Foundation of Hainan Province of China

scientific and technological projects of Zhoushan

Publisher

MDPI AG

Reference43 articles.

1. A review of the development and current situation of marine environment observation technology and instruments;Qi;Shandong Sci.,2019

2. Ocean Observation Technologies: A Review;Lin;Chin. J. Mech. Eng.,2020

3. Mao, K., Gao, F., Zhang, S., and Liu, C. (2022). An Information Spatial-Temporal Extension Algorithm for Shipborne Predictions Based on Deep Neural Networks with Remote Sensing Observations-Part I: Ocean Temperature. Remote Sens., 14.

4. Status quo and trend of research and development in attitude measurement technology of ocean data buoy;Wang;Oceanol. Limnol. Sin.,2023

5. Application and prospect of unmanned surface vehicle in marine geological survey;Fang;Mar. Geol. Lett.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3