{"title":"基于SDGSAT-1影像的黄海海洋涡旋街动态与形态分析","authors":"Linghui Xia , Baoxiang Huang , He Gao , Ge Chen","doi":"10.1016/j.rse.2025.114889","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"328 ","pages":"Article 114889"},"PeriodicalIF":11.4000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic and morphological analysis of oceanic vortex streets in the Yellow Sea using SDGSAT-1 imagery\",\"authors\":\"Linghui Xia , Baoxiang Huang , He Gao , Ge Chen\",\"doi\":\"10.1016/j.rse.2025.114889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"328 \",\"pages\":\"Article 114889\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725002937\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725002937","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
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.