Papias Sandrine, Masson Matthieu, Pelletant Sébastien, Prost-Boucle Stéphanie, Boutin Catherine
Irstea, UR MALY Milieux aquatiques, écologie et pollutions, Centre de Lyon-Villeurbanne, 5 rue de la Doua, BP 32108, Villeurbanne Cedex 69616, France E-mail:
Water Sci Technol. 2018 Mar;77(5-6):1706-1713. doi: 10.2166/wst.2018.052.
Constructed wetlands receiving treated wastewater (CWtw) are placed between wastewater treatment plants and receiving water bodies, under the perception that they increase water quality. A better understanding of the CWtw functioning is required to evaluate their real performance. To achieve this, in situ continuous monitoring of nitrate and ammonium concentrations with ion-selective electrodes (ISEs) can provide valuable information. However, this measurement needs precautions to be taken to produce good data quality, especially in areas with high effluent quality requirements. In order to study the functioning of a CWtw instrumented with six ISE probes, we have developed an appropriate methodology for probe management and data processing. It is based on an evaluation of performance in the laboratory and an adapted field protocol for calibration, data treatment and validation. The result is an operating protocol concerning an acceptable cleaning frequency of 2 weeks, a complementary calibration using CWtw water, a drift evaluation and the determination of limits of quantification (1 mgN/L for ammonium and 0.5 mgN/L for nitrate). An example of a 9-month validated dataset confirms that it is fundamental to include the technical limitations of the measuring equipment and set appropriate maintenance and calibration methodologies in order to ensure an accurate interpretation of data.
接受经处理废水的人工湿地(CWtw)设置在污水处理厂和受纳水体之间,人们认为它们能提高水质。为了评估其实际性能,需要更好地了解CWtw的运行情况。为此,使用离子选择性电极(ISE)对硝酸盐和铵浓度进行原位连续监测可提供有价值的信息。然而,这种测量需要采取预防措施以产生良好的数据质量,尤其是在对出水质量要求较高的地区。为了研究配备六个ISE探头的CWtw的运行情况,我们开发了一种适用于探头管理和数据处理的方法。它基于实验室性能评估以及适用于校准、数据处理和验证的现场规程。结果是一个操作协议,涉及两周的可接受清洗频率、使用CWtw水进行补充校准、漂移评估以及定量限的确定(铵为1 mgN/L,硝酸盐为0.5 mgN/L)。一个经过9个月验证的数据集示例证实,考虑测量设备的技术局限性并设定适当的维护和校准方法对于确保准确解读数据至关重要。