Networked Fish: Integrated Acoustic Sensory Telemetry (AST) Tags for Water Monitoring

联网鱼：用于水监测的集成声学传感遥测 (AST) 标签

• 批准号: 430655-2012
• 负责人: Chodavarapu, Vamsy
• 金额: $ 10.62万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=552587
• 关键词: Networked; Fish; Integrated; Acoustic; Sensory

The sources of clean freshwater in Canada are increasingly under threat from the impact of industrial, mining, agricultural, and human waste activities. Aquatic ecosystems are inherently difficult, labour-intensive and expensive to monitor for water quality using traditional point sampling methods. Thus, there is a need for improved methods to gather data on the dynamics of freshwater contaminants in Canada's lakes and rivers. We proposed Acoustic Sensory Telemetry (AST) which is a new approach that uses fish equipped with intelligent sensors to measure distributions of contaminants in space and time over an enormous geographic range. Telemetry is the remote measurement of chemical and biological variables. In the aquatic environment, telemetry offers rapid feedback on fish biology and behaviour that is necessary to protect biodiversity and

加拿大的清洁淡水资源正日益受到工业、采矿、农业和人类废物活动影响的威胁。利用传统的点采样方法监测水质，水生生态系统本身就是困难的、劳动密集型的和昂贵的。因此，有必要改进方法来收集关于加拿大湖泊和河流中淡水污染物动态的数据。我们提出了声学传感遥测技术（AST），这是一种新的方法，它使用配备智能传感器的鱼来测量巨大地理范围内污染物在空间和时间上的分布。遥测是对化学和生物变量的远程测量。在水生环境中，遥测技术提供了对鱼类生物学和行为的快速反馈，这是保护生物多样性和保护鱼类的必要条件