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Extraction of ocean wave parameters from video images 从视频图像中提取海洋波浪参数
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-07 DOI: 10.1080/21664250.2023.2283302
Hitoshi Tamura, Shinya Hosokawa, Isamu Fujita, Shota Okura, Shota Homma, Koji Kawaguchi, Ryoji Uchiyama, Hiroshi Yagi
In this study, we proposed a method for estimating windsea parameters from the images captured by the surveillance camera installed in coastal areas for practical use. Camera images were acquired i...
在这项研究中,我们提出了一种从安装在沿海地区的监控摄像机拍摄的图像中估算风海参数的方法,以供实际使用。摄像机图像是在...
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引用次数: 0
Experimental investigation into the effects of strong winds on the transport of overtopping water mass over a vertical seawall 强风对垂直海堤上倾覆水流的影响的实验研究
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1080/21664250.2023.2286831
Naoto Inagaki, Tomoya Shibayama, Ryota Nakamura, Kunihiko Ishibashi, Miguel Esteban
Hydraulic experiments using a wave flume with a wind tunnel at a scale of 1/40 were carried out to investigate the effect of wind on wave overtopping of a vertical seawall. To ascertain the possibl...
为了研究风对波浪倾覆垂直海堤的影响,我们使用了一个带风洞的波浪水槽(比例为 1/40)进行了水力实验。为了确定风力对垂直海堤波浪倾覆的影响的可能...
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引用次数: 0
Machine learning-driven approach to quantify the beach susceptibility to storm-induced erosion 用机器学习驱动的方法量化海滩易受风暴侵蚀的程度
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-12-17 DOI: 10.1080/21664250.2023.2288744
Salika Thilakarathne, Takayuki Suzuki, Martin Mäll
 This study focuses on quantifying the susceptibility of sandy beaches to storm-induced erosion by analyzing 14 key morphometric indicators. We used a 24-year morphological and metocean dataset, en...
本研究主要通过分析 14 个关键形态指标来量化沙滩易受风暴侵蚀的程度。我们使用了一个为期 24 年的形态和海洋数据集,并对这些数据进行了分析。
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引用次数: 0
Spatio-temporal variations of future wave climate-driven longshore sediment transport in the Gulf of Guinea 几内亚湾未来波浪气候驱动的长岸沉积物迁移的时空变化
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-12-11 DOI: 10.1080/21664250.2023.2290316
Adeola M. Dahunsi, Olusegun A. Dada, Frederic Bonou, Ezinvi Baloïtcha
The densely populated coast of the Gulf of Guinea (GoG) is experiencing escalating erosion from climate change (CC). To assess Longshore Sediment Transport (LST) changes in the past and future, an ...
几内亚湾(GoG)人口稠密的海岸正经历着气候变化(CC)带来的不断加剧的侵蚀。为了评估近岸沉积物迁移(LST)在过去和未来的变化情况,一项名为 "LST "的...
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引用次数: 0
Effect of wave-current flow on double-averaged turbulence properties over rough bed of hemispherical obstacles 波流对半球形障碍物粗糙床上双平均湍流特性的影响
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-12-03 DOI: 10.1080/21664250.2023.2288427
Jayanta Shounda, Krishnendu Barman, Koustuv Debnath
Combined wave-current turbulent characteristics are investigated over a rough bed comprising of hemispheres positioned at different spacings (p/r = 4, 6, and 8; p is the patch distance and r is the...
在由位于不同间距的半球组成的粗糙床上研究了波流复合湍流特性(p/r = 4,6和8;P是贴片距离,r是…
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引用次数: 0
Observation of wave propagation over 1,000 km into Antarctica winter pack ice 观测波在南极冬季浮冰中超过1000公里的传播
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-12-01 DOI: 10.1080/21664250.2023.2283243
Takehiko Nose, Tomotaka Katsuno, Takuji Waseda, Shuki Ushio, Jean Rabault, Tsubasa Kodaira, Joey Voermans
A drifting wave-ice buoy (Medusa-766) was deployed at the Lützow-Holm Bay (LHB) marginal ice zone in Antarctica during the 63rd Japanese Antarctic Research Expedition to study the wave influence on...
日本第63次南极科考考察队在南极l佐霍尔姆湾(LHB)边缘冰带部署了一个漂流波冰浮标(Medusa-766),研究了波浪对南极冰冰的影响。
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引用次数: 0
Development and testing of microSWIFT expendable wave buoys microSWIFT消耗性波浪浮标的研制与测试
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-11-22 DOI: 10.1080/21664250.2023.2283325
Jim Thomson, Phil Bush, Viviana Castillo Contreras, Nate Clemett, Jacob Davis, Alex de Klerk, Emily Iseley, Edwin James Rainville, Brenton Salmi, Joe Talbert
Expendable microSWIFT buoys have been developed and tested for measuring ocean surface waves. Wave spectra are calculated via onboard processing of GPS velocities sampled at 5 Hz, and wave spectra ...
已开发并测试了用于测量海洋表面波的消耗性microSWIFT浮标。通过对5 Hz采样的GPS速度进行板载处理,计算出波谱。
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引用次数: 1
Improved XBeach model and its application in coastal beach evolution under wave action 改进的XBeach模型及其在波浪作用下海岸滩演变中的应用
IF 2.4 3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-11-19 DOI: 10.1080/21664250.2023.2282286
Hang Yu, Zhonghua Weng, Genfa Chen, Xin Chen
Beach evolution is one of the key issues in coastal engineering. High computational efficiency model of beach evolution is limited by strong wave nonlinearity, flow acceleration, and sediment phase...
滩涂演变是海岸工程中的关键问题之一。滩滩演化的高计算效率模型受到强波浪非线性、水流加速和泥沙相变化等因素的限制。
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引用次数: 0
Real-time tsunami forecasting system with nonlinear effects using Green’s functions: application to near-shore tsunami behavior in complex bay topography 基于格林函数的非线性海啸实时预报系统:在复杂海湾地形近岸海啸行为中的应用
3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-11-14 DOI: 10.1080/21664250.2023.2278367
Yusuke Yamanaka, Kana Hashimoto, Yoshimitsu Tajima
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引用次数: 0
NDBC Wave observation system update NDBC波浪观测系统更新
3区 工程技术 Q3 ENGINEERING, CIVIL Pub Date : 2023-11-12 DOI: 10.1080/21664250.2023.2267724
Rodney Riley
ABSTRACTThe National Oceanic and Atmospheric Administration’s (NOAA) National Data Buoy Center (NDBC) operates a network of over 100 marine weather observation buoys. These buoys presently use a wave observation system named the Digital Directional Wave Module (DDWM). The DDWM uses commercial motion sensors contained in a single package and processing boards that are now obsolete. Therefore, the NDBC completed an engineering effort to replace these obsolete components with a new wave observation system named Ocean Wave Linux (OWL).The OWL replaces the DDWM’s nine axis motion sensor with a compatible device. The OWL produces the same observations as the DDWM but with much less power consumption and with modern COTS available components.The DDWM is contained in a single tube named WAVCEAN-16, which is a payload in the NDBC’s Self-Contained Ocean Observation Payload (SCOOP). WAVCEAN-16 physically contains the Wave and Ocean (which measures sea surface temperature) modules. After extensive, successful field trials, the OWL components replaced the DDWM components. This effectively created a new tube or product. The new tube is named WAVCEAN-18.This paper focuses on the changes from WAVCEAN-16 to WAVCEAN-18 and highlights engineering analysis of field tests of the WAVCEAN-18. We also describe the NDBC’s plans for operational transition from the WAVCEAN-16 to WAVCEAN-18.KEYWORDS: OWLWavesDDWMNDBC Disclosure statementNo potential conflict of interest was reported by the author.
摘要美国国家海洋和大气管理局(NOAA)的国家数据浮标中心(NDBC)运营着一个由100多个海洋气象观测浮标组成的网络。这些浮标目前使用一种名为数字定向波模块(DDWM)的波浪观测系统。DDWM使用商业运动传感器包含在一个单一的封装和处理板,现在已经过时。因此,NDBC完成了一项工程工作,用一个名为Ocean wave Linux (OWL)的新海浪观测系统取代了这些过时的组件。OWL用兼容设备取代了DDWM的九轴运动传感器。OWL产生与DDWM相同的观测结果,但是功耗更低,并且使用现代COTS可用组件。DDWM包含在一个名为wavean -16的单管中,这是NDBC的自包含海洋观测有效载荷(SCOOP)中的有效载荷。wavean -16物理上包含波浪和海洋(测量海面温度)模块。经过广泛、成功的现场试验,OWL组件取代了DDWM组件。这有效地创造了一个新的管或产品。新管被命名为wavean -18。本文重点介绍了从wavean -16到wavean -18的变化,重点介绍了wavean -18现场试验的工程分析。我们还描述了NDBC从wavclean -16到wavclean -18的操作过渡计划。关键词:OWLWavesDDWMNDBC披露声明作者未报告潜在利益冲突。
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引用次数: 0
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Coastal Engineering Journal
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