Data-driven decision-making for stormwater management ponds using real-time monitoring

使用实时监控对雨水管理池进行数据驱动的决策

• 批准号: 578511-2022
• 负责人: Drake, JenniferJAP
• 金额: $ 2.19万
• 依托单位: Carleton University
• 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=748920
• 关键词: Data; driven; decision; making; stormwater

Cities across Canada rely on stormwater management ponds to prevent urban flooding and control sediments flowing into our creeks and streams. These ponds are stitched into our suburban and industrial lands as green spaces. For city staff, responsible for hundreds of stormwater ponds, these infrastructures are logistically challenging systems. With advancements in sensors and private wireless networks, real-time monitoring of stormwater ponds is possible and affordable for the first time. This research will pioneer proactive, data-driven decision-making for stormwater management pond operations utilizing a novel water monitoring solution operating on scientific-grade sensors providing data across a dedicated secure network to provide real-time data on the health of natural and man-made critical water infrastructure. By regularly monitoring the water quality as well as flow characteristics of the ponds daily, minor issues can be addressed immediately, reducing the risk of extremely costly events.

加拿大各地的城市依靠雨水管理池塘来防止城市洪水泛滥，并控制流入我们小溪和溪流的沉积物。这些池塘被缝合在我们的郊区和工业用地上，作为绿地。对于负责数百个雨水池的市政工作人员来说，这些基础设施在后勤方面具有挑战性。随着传感器和专用无线网络的进步，对雨水池的实时监控成为可能，也是第一次负担得起。这项研究将率先为雨水管理池塘的运营做出主动的、数据驱动的决策，利用一种新型的水监测解决方案，该解决方案运行在科学级传感器上，通过专用的安全网络提供数据，以提供关于天然和人造关键水基础设施健康状况的实时数据。通过每天定期监测池塘的水质和水流特征，可以立即解决小问题，降低发生极端代价事件的风险。