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Green Energy, Blue Economy: Integrating Renewable Energy and Sustainable Development for Bangladesh 绿色能源,蓝色经济:为孟加拉国整合可再生能源与可持续发展
IF 0.8 4区 工程技术 Q3 Engineering Pub Date : 2023-12-15 DOI: 10.4031/mtsj.57.4.4
Hafez Ahmad, Felix Jose, Md. Shaiful Islam, Shakila Islam Jhara
Abstract The coastal zone of Bangladesh is of immense importance and provides a myriad of services and functions, including fisheries resources, sustaining biodiversity, supporting trade and transportation, and holding visually pleasing monuments and recreational opportunities for the country's economic growth and the well-being of its people. The article highlights the significant efforts made by the Government of Bangladesh toward promoting the blue economy, including the development of renewable energy programs (wind farms), sustainable tourism, fisheries aquaculture, and working on a long-term plan for coastal zone management. The study also examines the challenges facing Bangladesh's marine and coastal fisheries, including overfishing, indiscriminate catch and kill of juveniles, and marine pollution. Additionally, the article discusses the growing popularity of mariculture, especially seaweed culture, in the coastal waters of Bangladesh as an alternative to dwindling marine fisheries. Research also highlights the need for greater efforts toward the conservation and sustainable management of marine and coastal resources, including fisheries, aquaculture, and tourism, to ensure their long-term viability and economic benefits for the country.
摘要 孟加拉国的沿海地区极为重要,提供了大量的服务和功能,包括渔业资源、维持生物多 样性、支持贸易和运输,以及为国家的经济增长和人民的福祉提供赏心悦目的古迹和休闲机 会。文章重点介绍了孟加拉国政府为促进蓝色经济所做的重大努力,包括开发可再生能源项目(风力发电场)、可持续旅游业、渔业水产养殖以及制定沿海地区管理长期计划。研究还探讨了孟加拉国海洋和沿海渔业面临的挑战,包括过度捕捞、滥捕滥杀幼鱼和海洋污染。此外,文章还讨论了孟加拉国沿海水域日益流行的海产养殖,特别是海藻养殖,以此替代日益减少的海洋渔业。研究还强调,有必要加大力度保护和可持续管理海洋及沿海资源,包括渔业、水产养殖业和旅游业,以确保其长期生存能力并为国家带来经济效益。
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引用次数: 0
Drifter-Observed Reversal of the South China Sea Western Boundary Current From Summer to Autumn 漂流器观测到的南海西边界洋流从夏季到秋季的逆转
IF 0.8 4区 工程技术 Q3 Engineering Pub Date : 2023-12-15 DOI: 10.4031/mtsj.57.4.6
Zhiyuan Hu, Longqi Yang, Zhaozhang Chen, Jia Zhu, Zhenyu Sun, Jianyu Hu
Abstract This study analyzes the formation, reversal, and variation of the South China Sea Western Boundary Current (SCSWBC) by nine trajectories of Beidousatellite-tracked drifters, combined with reanalysis current data and satellite remote sensing wind data. It is indicated that: (1) the maximum current speeds of Drifters 1490016, 1490026, 1488526, 862259, and 927745 exceed 1.5 m/s, with the speed of Drifter 862259 even reaching 2.3 m/s in the strong current region of the SCSWBC; (2) the SCSWBC in autumn can be sourced from either the northeastward current in the central South China Sea in summer or the westward current in the northeastern South China Sea in September; (3) the monsoon wind transition is attributed for the formation, disappearance, and reversal of the SCSWBC from summer to autumn; and (4) the interannual variation of the SCSWBC mainly depends on the transition time of the monsoon wind.
摘要 本研究通过北斗卫星跟踪漂流器的九条轨迹,结合再分析海流资料和卫星遥感风资料,分析了南海西部边界流(SCSWBC)的形成、逆转和变化。结果表明(1) 1490016、1490026、1488526、862259 和 927745 号漂流器的最大流速超过 1.5 米/秒,其中 862259 号漂流器在强流区的流速甚至达到 2.3米/秒;(2)秋季的SCSWBC既可以来自夏季南海中部的东北流,也可以来自9月份南海东北部的西流;(3)季风的转换是SCSWBC从夏季到秋季的形成、消失和逆转的原因;(4)SCSWBC的年际变化主要取决于季风的转换时间。
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引用次数: 0
Shallow Water Acoustic Vector Sensor Array AutoNomous System (SVAAN) for Coastal Surveillance Applications 用于海岸监视应用的浅水声学矢量传感器阵列自动寻的系统 (SVAAN)
IF 0.8 4区 工程技术 Q3 Engineering Pub Date : 2023-12-15 DOI: 10.4031/mtsj.57.4.3
Malarkodi Amirthalingam, S. Lokhande, Thirunavukkarasu Ayyadurai, Latha Ganesan, G. Potty
Abstract Shallow Water Acoustic Vector Sensor Array AutoNomous System (SVAAN) is a passive acoustic monitoring system using vector sensors. Acoustic vector sensors measure acoustic pressure and particle velocity, and an array of such sensors are very useful in underwater source localization. SVAAN is thus developed for surveillance applications in coastal waters and designed for a 100-m depth rating. The main objective of this work is to present SVAAN that is developed as a sea bed mounted system, consisting of two vector sensors and four hydrophones. In addition, an inertial sensor has been included to measure the system orientation when deployed. This was deployed as a bottom mounted unit in the shallow waters of South-West Bay of Bengal to measure the noise from boats/ships and localize the source. The acoustic data are analyzed, Direction of Arrival is estimated using Multiple Signal Classification for source localization, and the performance of SVAAN is studied. In addition to that, the tracking of boat noise has been estimated from the experiment data. Results and further enhancement of the system are discussed.
摘要 浅水声学矢量传感器阵列自动寻址系统(SVAAN)是一种使用矢量传感器的被动声学监测系统。声学矢量传感器测量声压和粒子速度,这种传感器阵列对水下声源定位非常有用。因此,SVAAN 是为沿海水域的监测应用而开发的,设计深度为 100 米。这项工作的主要目的是介绍作为海床安装系统开发的 SVAAN,它由两个矢量传感器和四个水听器组成。此外,还包括一个惯性传感器,用于测量系统部署时的方向。该系统作为海底安装装置部署在孟加拉湾西南部的浅水区,用于测量来自船只/船舶的噪声并定位噪声源。对声学数据进行了分析,利用多重信号分类估算了声源定位的到达方向,并对 SVAAN 的性能进行了研究。此外,还根据实验数据估算了船只噪声的跟踪情况。讨论了结果和系统的进一步改进。
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引用次数: 0
Improve Ocean Sensing Using Unmanned Aerial Vehicles 利用无人飞行器改进海洋传感
IF 0.8 4区 工程技术 Q3 Engineering Pub Date : 2023-12-15 DOI: 10.4031/mtsj.57.4.1
Thomas Q. Donaldson, Andy von Flotow, Shaju John, Justin Goff, Oleg Yakimenko, Rob Brodie
Abstract This paper discusses the day and night capability of a newly developed optical sensing suite flown on manned and unmanned aircraft in Monterey Bay and Santa Barbara, CA, during 2022 to detect marine mammals. New developments of electro-optical sensors integrated on medium and long-endurance unmanned aerial vehicles (UAVs) can provide cost-effective, qualitative sensing of marine biodiversity, to include species identification. Processing of captured imagery in both day and night applications has proven effective in removing surface-level reflections and background noise, which allows sensing of subsurface marine life to several attenuation lengths. Leveraging bioluminescence as a natural image enhancement phenomenon along with advanced signal processing of imagerycaptured by this sensing suite improves the quality of nighttime detection and species identification. Concepts and applications for this sensing suite integrated on UAV platforms for ocean food-chain modeling and maritime traffic avoidance are discussed, including deployment strategies for the Channel IslandsNational Marine Sanctuary off the California coast.
摘要 本文讨论了 2022 年期间在加利福尼亚州蒙特雷湾和圣巴巴拉飞行的载人和无人飞机上新开发的光学传感套件的昼夜探测海洋哺乳动物的能力。集成在中长航时无人飞行器(UAVs)上的新开发的电子光学传感器可提供具有成本效益的海洋生物多样性定性传感,包括物种识别。事实证明,在白天和夜间对捕获的图像进行处理,可以有效地去除表面反射和背景噪声,从而可以在几个衰减长度范围内感知地表下的海洋生物。将生物发光作为一种自然图像增强现象加以利用,并对该传感套件捕获的图像进行先进的信号处理,可提高夜间探测和物种识别的质量。讨论了将该传感套件集成到无人机平台上用于海洋食物链建模和海上交通避让的概念和应用,包括加利福尼亚海岸外海峡群岛国家海洋保护区的部署战略。
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引用次数: 0
Cooperative Ocean Survey Method by a UAV and an AUV: State Estimation of the AUV Based on the UAV 无人飞行器和自动潜航器合作勘测海洋方法:基于无人飞行器的自动潜航器状态估计
IF 0.8 4区 工程技术 Q3 Engineering Pub Date : 2023-12-15 DOI: 10.4031/mtsj.57.4.5
Takumi Matsuda, Yusuke Yokota
Abstract This paper proposes a new concept of the ocean exploration method using an unmanned aerial vehicle (UAV) and an autonomous underwater vehicle (AUV) in cooperation. Conventional ocean survey by AUVs is supported by a ship and humans for deployment, recovery, and positioning during its survey. Therefore, it has been difficult to survey shallow areas that are inaccessible by ships or far from the land without a ship. In this study, however, this problem is solved by using the UAV to support the entire process from the beginning to the end of the survey. The UAV also acts as a positioning reference station for the AUV by deploying an acoustic positioning system. This allows the AUV to perform ocean exploration while estimating its position relative to the UAV. Sea experiments were conducted using a small AUV and UAVs, demonstrating that although the UAVs were manually controlled, the UAV and AUV can perform the entire exploration process from the beginning to the end, and especially that the AUV can estimate its position based on the UAV.
摘要 本文提出了一种利用无人驾驶飞行器(UAV)和自动潜航器(AUV)合作进行海洋勘探的新概念。传统的自动潜航器(AUV)海洋勘测需要船只和人力的支持,以便在勘测过程中进行布放、回收和定位。因此,在没有船只的情况下,很难对船只无法到达或远离陆地的浅海区域进行勘测。然而,在本研究中,利用无人机支持从勘测开始到结束的整个过程,解决了这一问题。无人机还通过部署声学定位系统充当 AUV 的定位基准站。这样,自动潜航器就能在估算其相对于无人机的位置的同时进行海洋探测。使用小型 AUV 和 UAV 进行了海上实验,结果表明,虽然 UAV 是手动控制的,但 UAV 和 AUV 可以执行从开始到结束的整个勘探过程,特别是 AUV 可以根据 UAV 估算其位置。
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引用次数: 0
Biofuels and Electrofuels as Alternative Green Fuels for Marine Applications: A Review 生物燃料和电燃料作为海洋绿色替代燃料的研究进展
4区 工程技术 Q3 Engineering Pub Date : 2023-09-27 DOI: 10.4031/mtsj.57.3.2
Mahmoud Abdel-Nasser Saadeldin, Mohamed M. Elgohary, Maged Abdelnaby, Mohamed R. Shouman
Abstract The International Maritime Organization (IMO) has imposed strict regulations to limit marine emissions because the maritime sector is expanding around the world, producing large amounts of emissions that are harmful to the atmosphere. Green alternative fuels, such as biofuels derived from biomass and electrofuels derived from syngas sources, play critical roles in meeting IMO requirements for clean energy with zero emissions. This study presents a brief review of two types of green fuels: 1) the production of biofuels from biomass sources by using various methods, such as the gasification process and the pyrolysis process, as well as the effectiveness of adding a variety of catalysts, and 2) electrofuels as a new method to oppose global warming by employing various carbon capture strategies and renewable hydrogen production based on water electrolysis. Following that, the significant effect of using these green fuels in marine applications is discussed. Overall, the primary goal of this article is to provide data for researchers and industrialists interested in biofuels and electrofuels as promising alternatives to fossil fuels. A large portion of the existing literature published in highly regarded journals, including the most recently published reports, is analyzed.
国际海事组织(IMO)制定了严格的规定来限制海洋排放,因为海洋部门在世界范围内不断扩大,产生了大量对大气有害的排放物。绿色替代燃料,如来自生物质的生物燃料和来自合成气的电燃料,在满足海事组织对零排放清洁能源的要求方面发挥着关键作用。本研究简要回顾了两类绿色燃料:1)利用各种方法,如气化过程和热解过程生产生物燃料,以及添加各种催化剂的有效性;2)利用各种碳捕获策略和基于水电解的可再生制氢,作为对抗全球变暖的新方法的电燃料。然后,讨论了在海洋应用中使用这些绿色燃料的显著效果。总的来说,本文的主要目标是为研究人员和实业家提供数据,这些研究人员和实业家对生物燃料和电燃料作为化石燃料的有前途的替代品感兴趣。在高度重视的期刊上发表的大部分现有文献,包括最近发表的报告,都进行了分析。
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引用次数: 0
Quantifying Self-Noise of the Seaglider AUV Using a Passive Acoustic Monitor 利用被动式声学监测仪量化滑翔机水下航行器的自噪声
4区 工程技术 Q3 Engineering Pub Date : 2023-09-27 DOI: 10.4031/mtsj.57.3.5
Melodie Grasso, Luis Pomales Velázquez, Lora Van Uffelen
Abstract The Seaglider, a type of underwater glider, is a relatively quiet vehicle in comparison with propelled autonomous underwater vehicles, making it a desirable acoustic receiving platform. Vehicle operations, such as pumping/bleeding oil to change buoyancy, shifting/rotating the battery to change pitch/roll, and oceanographic data collection, do, however, produce some self-noise. This system performance study analyzes the prevalence, frequency content, duration, and levels of self-noise associated with vehicle operations using data collected with a passive acoustic monitoring system mounted on the body of a Seaglider vehicle. Guidance and control functions, including pitch, roll, and buoyancy changes, were the major source of platform noise, producing broadband noise ranging from less than a second to over 3 min in duration, with sound pressure levels of 120‐145.5 dB re 1μPa. Frequencies below 10 kHz were the most impacted by self-noise, with a maximum 1/3 octave level of 137.5 dB re 1μPa in the 2.5kHz band caused by the pumping of oil in the variable buoyancy device. Guidance and control changes occurred during 4%‐13% of the dive for dives greater than 500 m. The bulk of these operations, however, were performed near the surface and apogee of the dive and typically affected only about 6% of the dive cycle duration for deep dives.
与推进式自主水下航行器相比,滑翔机是一种相对安静的水下航行器,是理想的声学接收平台。然而,车辆操作,如泵注/放油以改变浮力,移动/旋转电池以改变俯仰/横摇,以及海洋数据收集,确实会产生一些自噪声。该系统性能研究分析了与车辆运行相关的自噪声的普遍性、频率内容、持续时间和水平,使用安装在Seaglider车辆车身上的被动声学监测系统收集的数据。包括俯仰角、横摇和浮力变化在内的制导和控制功能是平台噪声的主要来源,产生的宽带噪声持续时间从不到1秒到超过3分钟,声压级为120‐145.5 dB / 1μPa。在10 kHz以下频率受自噪声影响最大,在2.5kHz频段由变浮力装置抽油引起的自噪声最大1/3倍频级为137.5 dB re 1μPa。在超过500米的潜水中,引导和控制发生变化的时间为4% ~ 13%。然而,这些操作中的大部分都是在潜水的表面和远地点附近进行的,通常只影响深潜周期持续时间的6%左右。
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引用次数: 0
Full Issue 完整的问题
4区 工程技术 Q3 Engineering Pub Date : 2023-09-27 DOI: 10.4031/mtsj.57.3.10
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引用次数: 0
Satellite Remote Sensing for Wildlife Research in the Polar Regions 极地野生动物研究的卫星遥感
4区 工程技术 Q3 Engineering Pub Date : 2023-09-27 DOI: 10.4031/mtsj.57.3.1
Heather J. Lynch
Abstract Wildlife research in the polar regions has historically been limited by the logistical constraints of site access, but recent developments in the use of satellite imagery for animal detection has unlocked new possibilities for pan-Arctic and pan-Antarctic monitoring of animal populations. A range of different sensor systems have been used for wildlife research, but most have focused on optical sensors that collect data in the visible spectrum and can be directly interpreted similar to a photograph. These include medium-resolution sensors like Landsat (30 m) and Sentinel-2 (10 m) and very high-resolution sensors such as Maxar's Worldview-2 (51 cm) and Worldview-3 (31 cm). These long-established satellite systems have been joined more recently by constellations of smaller satellites (so-called “Small Sats”) that offer imagery of comparable spatial and spectral resolution to those operated by Maxar. This rapidly expanding portfolio of earth observation satellites offers the potential for a radical transformation of wildlife research in polar regions, but the sheer volume of data being collected now eclipses our capacity for manual imagery interpretation. To meet this challenge, researchers are now harnessing advances in computer vision that, coupled with improvements in computing capacity, promise to deliver a new era in our ability to monitor polar wildlife.
极地地区的野生动物研究在历史上一直受到站点访问的后勤限制,但最近在使用卫星图像进行动物探测方面的发展为泛北极和泛南极动物种群监测提供了新的可能性。一系列不同的传感器系统已经被用于野生动物研究,但大多数都集中在光学传感器上,它收集可见光谱中的数据,可以像照片一样直接解释。这些传感器包括中等分辨率传感器,如Landsat(30米)和Sentinel-2(10米),以及非常高分辨率的传感器,如Maxar的Worldview-2(51厘米)和Worldview-3(31厘米)。这些建立已久的卫星系统最近加入了一群较小的卫星(所谓的“小卫星”),它们提供的空间和光谱分辨率与Maxar运行的卫星相当。这种迅速扩大的地球观测卫星组合为极地野生动物研究的根本转变提供了可能,但现在收集的数据量之大,使我们人工图像解释的能力黯然失色。为了应对这一挑战,研究人员正在利用计算机视觉的进步,再加上计算能力的提高,有望为我们监测极地野生动物的能力带来一个新时代。
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引用次数: 0
Managing Editor's Introduction: Personnel and Processes Updates 总编简介:人事和流程更新
4区 工程技术 Q3 Engineering Pub Date : 2023-09-27 DOI: 10.4031/mtsj.57.3.8
Kacey Beddoes
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引用次数: 0
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Marine Technology Society Journal
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