Remote water sensing technology with cloud-based platform to support environmental compliance monitoring during the COVID-19 pandemic

具有云平台的远程水传感技术支持 COVID-19 大流行期间的环境合规性监测

• 批准号: 554925-2020
• 负责人: Mundle, Scott
• 金额: $ 3.64万
• 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705351
• 关键词: Remote; water; sensing; technology; cloud

In the face of the global COVID-19 pandemic, environmental compliance monitoring has been limited and, in some cases, suspended because of social distancing requirements and other shortages in shipping services, laboratory analyses, and travel options. However, without these essential monitoring practices in place, environmental agencies, communities, and water utilities are facing unprecedented challenges to complete quality control, prevent pollution and maintain public safety. For example, in April 2020, Alberta suspended the compliance monitoring at 16 oilsands projects. Many northern communities, including indigenous communities, have raised concerns about the reduced environmental compliance monitoring during the pandemic. The rapidly growing concerns for potential water incidents call for a supplementary compliance monitoring program, which can provide remote access to sufficient data related to water quality changes and respond to pollution in real-time. The urgency of developing this technology is high with the risk of additional waves of virus outbreaks that could further postpone environmental monitoring. The purpose of this project is to adapt this technology to support remote environmental compliance monitoring under COVID-19 pandemic scenarios. Once adapted, we will implement this freshwater analyzer at high-risk locations to use cloud-based data systems that will provide real-time comprehensive trending data related to water quality changes to stakeholders and regulators. We currently have ongoing projects in greenhouse, agricultural, and oil/gas field watersheds that will serve as sample sites. We will also study a list of emerging contaminants related to the ongoing COVID-19 pandemic, which may have been in, or would be released into watersheds via wastewater discharge or surface runoffs. With remote real-time monitoring via a cloud-based platform, the project outcome will allow the government, conservation authorities, and regulatory agencies to effectively measure, monitor and identify pollution sources remotely during social distancing measures.

面对全球COVID-19大流行，环境合规性监测受到限制，在某些情况下，由于社会疏远要求和运输服务，实验室分析和旅行选择的其他短缺而被暂停。但是，如果没有这些基本的监测实践，环境机构，社区和水电图将面临前所未有的挑战，以完成质量控制，防止污染和维持公共安全。例如，在2020年4月，艾伯塔省暂停了16个Oilsands项目的合规性监测。包括土著社区在内的许多北部社区都对大流行期间环境合规性监测减少引起了人们的担忧。对潜在水事件的迅速问题要求采取补充合规性监测计划，该计划可以远程访问与水质变化有关的足够数据，并实时应对污染。开发这项技术的紧迫性很高，有可能进一步推迟环境监测的病毒爆发的风险。 该项目的目的是调整这项技术，以支持Covid-19-19大流行情景下的远程环境合规性监测。改编后，我们将在高风险地点实施此淡水分析仪，以使用基于云的数据系统，这些数据系统将为利益相关者和监管机构提供与水质变化有关的实时全面趋势数据。目前，我们在温室，农业和石油/天然气田里有持续的项目，这些项目将用作样本地点。我们还将研究与正在进行的COVID-19大流行有关的新兴污染物清单，该污染物可能已进入或通过废水排放或地表径流释放到流域。 通过通过基于云的平台进行远程实时监控，该项目结果将使政府，保护当局和监管机构在社会疏远措施中远程远程测量，监测和识别污染源。