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

机译:下一代水质监测:传感器技术能否代替河流环境中的常规采样和分析?

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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:大辛辛那提大城市下水道区(MSDGC)正在Muddy Creek / Rapid Run分水岭地区进行分水岭研究,该研究大体上是基于USEPA基于分水岭的综合规划指导原则。为通知研究而进行的水质采样是在2018年进行的,其中包括使用水质传感器。 MSDGC多年来一直使用传感器技术来监测其废水处理过程中的水质状况,并且传感器在这种受控环境中表现良好。但是,当部署在河流和下水道联合收集系统中时,这些系统的动态特性给该技术的使用带来了一些挑战。尽管水质传感器技术显示出实时生成密集数据并节省采样人工成本的巨大前景,但将其部署在不受控制的环境(如河流和河流)中,却表明它不会便宜或能够完全取代传统的采样和分析。

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