使用远程自动潜航器发现伊利湖中的有害藻华并对其进行采样

IF 2.1 3区 地球科学 Q2 LIMNOLOGY
Yanwu Zhang, Brian Kieft, Brett W. Hobson, Ben-Yair Raanan, William Ussler III, Christina M. Preston, Reagan M. Errera, Paul A. Den Uyl, Andrea Vander Woude, Gregory J. Doucette, Steven A. Ruberg, Kelly D. Goodwin, James M. Birch, Christopher A. Scholin
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引用次数: 0

摘要

五大湖中的蓝藻有害藻华(CyanoHABs)对居民饮用水、渔业和娱乐活动构成风险。要积极降低这些风险,就必须快速检测蓝藻有害藻华并量化其产生的毒素。在此,我们介绍一种方法,即使用配备第三代环境采样处理器(3G-ESP)的远程自动水下航行器(LRAUV),搜索可能代表 CyanoHAB 生物量的高叶绿素区域,并对其进行自适应采样。2021 年 8 月,在伊利湖西部使用了这种方法。该实验强调了 LRAUV 自主搜索和采样方法的有效性,并展示了位于不同州的跨学科团队如何利用共享的网络态势感知工具,通过互联网连接虚拟协调 LRAUV 的运行并指导采样活动。所取得的进展为今后的工作奠定了基础,以提高 LRAUV 在淡水和海洋环境中进行 CyanoHAB 研究和监测时的自主性和适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using a long-range autonomous underwater vehicle to find and sample harmful algal blooms in Lake Erie

Using a long-range autonomous underwater vehicle to find and sample harmful algal blooms in Lake Erie

Cyanobacterial harmful algal blooms (CyanoHABs) in the Great Lakes pose risks to residential drinking water use, fisheries, and recreation. Active mitigation of these risks requires rapid detection of CyanoHABs and quantification of the toxins they produce. Here, we present a method of using a long-range autonomous underwater vehicle (LRAUV) equipped with a 3rd-generation Environmental Sample Processor (3G-ESP) to search for and adaptively sample areas of high chlorophyll potentially representative of CyanoHAB biomass. In August 2021, this method was used in western Lake Erie. The experiment highlighted the effectiveness of the LRAUV autonomous search-and-sample methodology, and demonstrated how an interdisciplinary team located in different states virtually coordinated LRAUV operations and directed sampling activities via Internet connectivity using shared, web-based situational awareness tools. The advancements made provide a foundation for future work to increase LRAUV autonomy and adaptiveness for CyanoHAB studies and monitoring in both freshwater and marine settings.

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来源期刊
CiteScore
4.80
自引率
3.70%
发文量
56
审稿时长
3 months
期刊介绍: Limnology and Oceanography: Methods (ISSN 1541-5856) is a companion to ASLO''s top-rated journal Limnology and Oceanography, and articles are held to the same high standards. In order to provide the most rapid publication consistent with high standards, Limnology and Oceanography: Methods appears in electronic format only, and the entire submission and review system is online. Articles are posted as soon as they are accepted and formatted for publication. Limnology and Oceanography: Methods will consider manuscripts whose primary focus is methodological, and that deal with problems in the aquatic sciences. Manuscripts may present new measurement equipment, techniques for analyzing observations or samples, methods for understanding and interpreting information, analyses of metadata to examine the effectiveness of approaches, invited and contributed reviews and syntheses, and techniques for communicating and teaching in the aquatic sciences.
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