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

加拿大各地的城市依靠雨水管理池塘来防止城市洪水，并控制流入我们小溪和溪流的沉积物。这些池塘被缝进我们的郊区和工业用地作为绿色空间。对于负责数百个雨水池的城市工作人员来说，这些基础设施是后勤上具有挑战性的系统。随着传感器和专用无线网络的进步，雨水池塘的实时监测首次成为可能，并且价格合理。这项研究将开创主动的，数据驱动的决策雨水管理池塘运营利用一种新型的水监测解决方案，在科学级传感器上运行，通过专用的安全网络提供数据，以提供关于自然和人为的健康的实时数据关键水基础设施。通过每天定期监测池塘的水质和流量特性，可以立即解决小问题，降低发生代价高昂的事件的风险。

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.