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污水处理厂出水和河水中污染物浓度的季节性变化。

Seasonal variation of contaminant concentrations in wastewater treatment works effluents and river waters.

作者信息

Comber S D W, Gardner M J, Ellor B

机构信息

Biogeochemistry Research Centre, Plymouth University, Devon, UK.

Atkins Limited, Bristol, UK.

出版信息

Environ Technol. 2020 Sep;41(21):2716-2730. doi: 10.1080/09593330.2019.1579872. Epub 2019 Mar 4.

Abstract

Results are presented for 170 wastewater treatment works sites (20 per substance in influent, effluent and 36 per substance in river water upstream and downstream of the WwTW discharge) over a period of two years between 2015 and 2017; this comprises data for approximately 3000 samples for effluent and 6000 for river samples taken downstream of effluent discharges. Seasonal trends in contaminant concentrations for several substances are reported. Two clear patterns of seasonal variation are proposed over and above all of the variables associated with environmental data including process technology, dilution and geography. Firstly, variation of riverine concentrations caused by seasonal fluctuations in river flow (sewage flow being relatively consistent) resulting in summer maxima and winter minima. Alternatively, variation is observed that is attributable to the improved performance of wastewater treatment processes under warmer conditions. This leads to the lowest concentrations in autumn when surface water/sewage treatment temperatures tend to peak. Seasonality for trace contaminants is more difficult to characterise than that of sanitary parameters owing to the higher variability in the concentration of the substances of interest. The data also provide an insight into the amplitude of such variations. This makes it possible to assess the likely effects of seasonality and its impact on aquatic life. For example, the existence of seasonality (perhaps due only to dilution effects) might be demonstrated, but the amplitude might be too small in relation to the potential ecotoxicological effects to be of any consequence.

摘要

本文展示了2015年至2017年期间170个污水处理厂站点的结果(进水、出水各20个样本,污水处理厂排放口上下游河水各36个样本);这包括大约3000个出水样本和6000个排放口下游河水样本的数据。报告了几种物质污染物浓度的季节性趋势。除了与环境数据相关的所有变量(包括工艺技术、稀释和地理位置)之外,还提出了两种明显的季节性变化模式。首先,河流流量的季节性波动导致河流浓度变化(污水流量相对稳定),夏季最高,冬季最低。或者,观察到的变化归因于温暖条件下污水处理工艺性能的改善。这导致秋季浓度最低,此时地表水/污水处理温度往往达到峰值。由于目标物质浓度的变异性较高,痕量污染物的季节性比卫生参数更难表征。这些数据还提供了对这种变化幅度的洞察。这使得评估季节性的可能影响及其对水生生物的影响成为可能。例如,可能证明存在季节性(可能仅由于稀释效应),但相对于潜在的生态毒理学效应而言,幅度可能太小而无关紧要。

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