Water quality in Canada: validation, interpretation, and mobilization of community-based water monitoring

虽然准确和相关的数据是淡水管理循证决策的基石，但在加拿大分散的监测网络中，确保这些数据的准确性和相关性仍然是一项挑战。作出健全的管理决定需要在包括学术界、政府和非政府组织以及地方社区团体在内的广大利益攸关方之间进行有效的沟通和协作，但它们之间往往很少进行协调和沟通。我们提议建立的联盟将有助于连接目前在这个国家运作的这些不同的水管理员。 我们提出的研究将为社区提供一种简单的方法来众包水质数据，这将改变公民对水的理解，以及他们参与水管理的能力。Kerri Finlay博士（U Regina），Water Rangers和加拿大环境和气候变化之间的拟议伙伴关系旨在通过提高学术界和政府官员的合法性和有效性来解决与可持续和有意义的CBWM相关的挑战。我们的目标是建立在加拿大各地的水测试计划的长期可持续性的基础上，使用萨斯喀彻温省，一个省，经常休闲水质问题，作为我们的案例研究。我们将重点关注：（1）验证、改进可以实时提供结果的廉价工具并使其合法化;（2）构建人工智能工具，使用易于访问、负担得起的测试来帮助回答有关水质的重要问题;（3）实现社区主导的数据管理，吸引所有利益相关者（社区、非政府组织、政府和学术界）。

While accurate and relevant data are the cornerstone for evidence-based decision making in freshwater management, ensuring the accuracy and relevance of these data remains a challenge in Canada's fragmented monitoring networks. Making sound management decisions requires effective communication and collaboration among a wide range of stakeholders, including those from academia, governmental and non-governmental organizations, and local community groups, yet there is often little coordination and communication among them. The Alliance we propose to build will serve to connect these diverse water stewards presently operating in this country. Our proposed research will provide communities with a simple way to crowdsource water quality data that will transform citizens' understandings of their water, as well as their ability to participate in water stewardship. The proposed partnership between Dr. Kerri Finlay (U Regina), Water Rangers, and Environment and Climate Change Canada will aim to address challenges associated with sustainable and meaningful CBWM by improving its legitimacy and validity for academics and government officials. We aim to establish the basis for long-term sustainability in water testing programs across Canada, using Saskatchewan, a province with frequent recreational water quality concerns, as our case study. We will focus on: (1) validating, improving, and legitimizing inexpensive tools that can provide results in real-time; (2) building artificial intelligence tools that use accessible, affordable tests to help answer important questions about water quality; and (3) enabling community-led data management that engages all stakeholders (Community, Non-Governmental, Government, and Academic).