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Next Gen Water Quality Monitoring: Can Sensor Technology Replace Conventional Sampling and Analysis in a Stream Environment?

机译:下一次水质监测:传感器技术可以在流环境中取代传统的采样和分析吗?

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The Metropolitan Sewer District of Greater Cincinnati (MSDGC) is conducting a Watershed Study in the Muddy Creek/Rapid Run watershed area that is loosely based on the principles of USEPA's integrated and watershed-based planning guidance. Water quality sampling to inform the study was conducted in 2018, including use of water quality sensors. MSDGC has used sensor technology for years to monitor water quality conditions in its wastewater treatment processes and the sensors have performed well in this controlled environment. However, when deployed in the streams and combined sewer collection system, the dynamic nature of these systems presented several challenges to the use of this technology. While water quality sensor technology shows great promise for generating dense data in real time and saving sampling labor costs, deploying them in uncontrolled environments, like streams and rivers, suggests it will not be cheaper or able to completely replace conventional sampling and analysis.
机译:大辛辛那提(MSDGC)的大都市下水道区(MSDGC)正在泥泞的小溪/迅速运行流域区域进行流域研究,这是基于USEPA的综合和流域的规划指导原则。在2018年进行的水质抽样以通知该研究,包括使用水质传感器。 MSDGC使用传感器技术多年来在其废水处理过程中监测水质条件,并且传感器在这种受控环境中表现良好。但是,在部署在流和组合的下水道收集系统中时,这些系统的动态性质对使用这种技术呈现了几个挑战。虽然水质传感器技术在实时发挥密集数据并节省采样劳动力成本,但在不受控制的环境中部署它们,如溪流和河流,但建议它不会更便宜或能够完全取代传统的采样和分析。

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