This study uses several years of effluent quality data from 43 sites where online monitoring has been operational for many years resulting in the accumulation of high-resolution data sets. The data show a highly repeatable, seasonal dependence of effluent turbidity on temperature. This has been modelled with simple techniques producing a generic model that is neither data hungry nor requires site calibration. Viscosity-based mechanisms are proposed and discussed. These mechanisms differ from conventional assumptions of suspended solids peaks being solely flow related and or ascribed to ‘spring sloughing’. The proposal is that the organic loading of the filter and the physical temperature effects on settlement velocity are both as influential as hydraulic loading in determining effluent suspended solids concentration. Application of the models enables improved design for new/upgraded units and more accurate capacity assessment of trickling filters and humus tanks enabling improved operational risk management of compliance failure.

中文翻译：

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腐殖质池沉降效率与季节温度相关的变化

本研究使用了 43 个站点的多年污水质量数据，这些站点的在线监测已运行多年，积累了高分辨率数据集。数据显示出水浊度对温度的高度可重复的季节性依赖性。这是通过简单的技术进行建模的，生成了一个通用模型，该模型既不需要数据，也不需要现场校准。提出并讨论了基于粘度的机制。这些机制不同于悬浮固体峰值仅与流量相关和/或归因于“春季脱落”的传统假设。该建议认为，过滤器的有机负荷和物理温度对沉降速度的影响在确定流出物悬浮固体浓度方面与水力负荷一样有影响力。