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Salt Concentration Measurement Using Re-usable Electric Conductivity-based Sensors

机译:使用可重新使用的基于电导率的传感器测量盐浓度测量

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Human activities alter salt concentration of water sources such as lakes, ponds, wetlands and streams, which will have detrimental impacts on water quality and aquatic ecosystems. We developed electrical conductivity (EC)-based sensors to measure salt concentrations in water bodies. We calibrated and validated sensors using standard sodium chloride (NaCl) solutions. Furthermore, we validated sensors in a laboratory (using standard solutions) and field settings. The errors for the laboratory validation varied from 0 to 13% with an average of 6%. We deployed 35 sensors in the Madison County, Illinois, USA and measured high-resolution (15 min) salt concentration for 6 months (December, 2018 to May, 2019) in water bodies in urban stream, parking lot drain, road-side drain, and creek. The average errors between sensor and field measurements were 11% for sensor field validation. Sensors were able to predict salt concentrations in the field settings within a precision level required to quantify salt concentration in water bodies. Therefore, the study would be helpful to monitor the change in salt concentrations in water sources as an impact of human activities benefiting water managers, researchers, and agencies working on water quality and ecosystems.
机译:人类活动改变了水源的盐浓度,如湖泊,池塘,湿地和溪流,这将对水质和水生生态系统产生不利影响。我们开发了电导率(EC)的传感器,以测量水体中的盐浓度。我们使用标准氯化钠(NaCl)溶液校准和验证的传感器。此外,我们在实验室(使用标准解决方案)和现场设置中验证了传感器。实验室验证的误差从0到13%变化,平均值为6%。我们在麦迪逊县,伊利诺伊州,美国部署了35个传感器,并测量了6个月(2018年12月至2019年5月至2019年5月)的高分辨率(15分钟)盐浓度在城市溪流,停车场排水,道路侧排水的水上和小溪。传感器场验证的传感器和现场测量之间的平均误差为11%。传感器能够在水体中量化盐浓度所需的精确度内预测现场环境中的盐浓度。因此,该研究将有助于监测水源盐浓度的变化作为人类活动受益于水质和生态系统的水质管理员,研究人员和机构的影响。

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