基于SDGSAT-1影像的黄海海洋涡旋街动态与形态分析

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Linghui Xia , Baoxiang Huang , He Gao , Ge Chen
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引用次数: 0

摘要

海洋Kármán涡旋街是钝体后边界层非定常分离引起的一种重要的流体力学现象。本研究利用可持续发展目标科学卫星1号(SDGSAT-1)的多光谱图像对2021 - 2024年黄海海洋涡旋街进行了观测。从动态和形态两方面对114条涡旋街进行了统计分析。从单因素统计分析、多因素统计分析和案例分析等多个角度探讨涡旋街与洋流的关系。实验结果表明,黄海涡旋街的形成主要受潮流与岛屿相互作用的驱动。利用SDGSAT-1时间序列数据分析了海洋涡旋街的时空分布和特征参数。海洋涡旋街观测频率总体上表现为冬高夏低,大部分特征参数冬强夏弱。潮流的季节特征对涡旋街特征有显著影响。高分辨率卫星图像显示,冬季涡旋街的平均纵横比为2.75,雷诺数为403.56,而夏季涡旋街的平均雷诺数为1.92和185.86。本研究首次对整个海域的海洋涡旋街进行了时间观测和系统分析,为推进和实施可持续发展目标14下的多个目标提供了现实意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic and morphological analysis of oceanic vortex streets in the Yellow Sea using SDGSAT-1 imagery
The oceanic Kármán vortex street is a significant fluid dynamics phenomenon resulting from the unsteady separation of the boundary layer behind a bluff body. In this study, multispectral images from the Sustainable Development Goals Science Satellite 1 (SDGSAT-1) were utilized to observe oceanic vortex streets in the Yellow Sea from 2021 to 2024. A statistical analysis of 114 vortex streets was conducted from both dynamic and morphological perspectives. The relationship between vortex streets and ocean currents was explored from multiple perspectives, including single-factor statistical analysis, multi-factor statistical analysis, and case studies. Experimental results indicate that the formation of vortex streets in the Yellow Sea is primarily driven by interactions between tidal currents and islands. Furthermore, the spatiotemporal distribution and characteristic parameters of oceanic vortex streets were analysed using time-series SDGSAT-1 data. The observation frequency of oceanic vortex streets follows a general pattern of higher frequency in winter and lower frequency in summer, with most characteristic parameters being stronger in winter and weaker in summer. The seasonal characteristics of tidal currents have a significant impact on the vortex street characteristics. High-resolution satellite imagery reveals that the average aspect ratio of vortex streets is 2.75 and the Reynolds number is 403.56 in winter, compared to 1.92 and 185.86, respectively, in summer. This research presents the first temporal observations and systematic analysis of oceanic vortex streets across an entire marine area, offering practical significance for advancing and implementing multiple targets under SDG 14.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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