Using real-time, continuous, and high-frequency water quality data to develop early warning systems for water security in the Great Lakes

利用实时、连续、高频的水质数据开发五大湖水安全预警系统

• 批准号: 555656-2020
• 负责人: Fisk, AaronAT
• 金额: $ 11.2万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=753278
• 关键词: Using; real; time; continuous; frequency

Harmful algal blooms (HABs) are becoming more frequent and severe and are degrading Canada's lakes and rivers. HABs can produce chemicals that are toxic to humans, disrupting drinking water service, limiting recreational use of freshwater ecosystems, and compromising agriculture. These events can threaten the Canadian economy, which depends on clean, safe water. To better manage HABs outbreaks, Canada needs to 1) better understand the underlying factors that lead to outbreaks, 2) develop an early warning system that would help us predict and detect events early and quickly, and 3) create models that allow water utilities to ensure delivery of safe water to the public and agricultural industries. To accomplish these goals, we need a system that collects continuous real-time water quality data. We are proposing to use the Real-time Aquatic Ecosystem Observation Network (RAEON) to deploy real-time buoys and autonomous underwater vehicles that will regularly collect real-time data on nutrients and physical, chemical, and biological criteria in the western basin of Lake Erie. These data will be used to develop early warning indicators and water security models. Land use data, nutrient experiments, hydrologic modeling of water currents, and manual water collections will also be used to provide a comprehensive assessment to expand understanding of HAB dynamics. Biogeochemists, limnologists, engineers, and industry managers will work together on this project and will take a whole-system approach to understand how processes in the lake affect water quality. They will use that knowledge to deliver safe water to users, including the public and industry. Three private partners -- Union Water Supply System, InnovaSea, and Pro-Oceanus -- will help facilitate rapid uptake of methods and models into the water quality community. Environment and Climate Change Canada will participate to support development of management and policy for freshwater ecosystems. In addition, this collaboration includes four universities -- Windsor, Trent, Queen's and Toronto -- and will train 10 students in environmental research and technology.

有害藻华（HABs）正变得越来越频繁和严重，并正在退化加拿大的湖泊和河流。有害藻华可以产生对人类有毒的化学物质，破坏饮用水服务，限制淡水生态系统的娱乐使用，并危及农业。这些事件可能会威胁到加拿大的经济，因为加拿大的经济依赖于清洁、安全的水。为了更好地管理有害藻华的爆发，加拿大需要1)更好地了解导致爆发的潜在因素，2)开发一个早期预警系统，帮助我们及早和迅速地预测和发现事件，3)创建模型，使水务公司能够确保向公众和农业工业提供安全的水。为了实现这些目标，我们需要一个收集连续实时水质数据的系统。我们建议使用实时水生生态系统观测网络（RAEON）部署实时浮标和自主水下航行器，定期收集伊利湖西部盆地营养物质和物理、化学和生物标准的实时数据。这些数据将用于制定早期预警指标和水安全模型。土地利用数据、营养物质实验、水流水文模型和人工水收集也将用于提供全面的评估，以扩大对有害藻华动力学的理解。生物地球化学家、湖泊学家、工程师和行业管理者将在这个项目上共同努力，并将采取整个系统的方法来了解湖泊的过程是如何影响水质的。他们将利用这些知识向包括公众和工业在内的用户提供安全用水。三家私营合作伙伴——Union Water Supply System、InnovaSea和Pro-Oceanus——将帮助快速将方法和模型引入水质社区。加拿大环境和气候变化部将参与支持淡水生态系统管理和政策的发展。此外，这项合作还包括温莎、特伦特、女王和多伦多四所大学，并将培训10名环境研究和技术学生。