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Assessing dry weather flow contribution in TSS and COD storm events loads in combined sewer systems

机译:评估组合下水道系统中TSS和COD暴雨事件负荷中的干燥天气流量贡献

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Continuous high resolution long term turbidity measurements along with continuous discharge measurements are now recognised as an appropriate technique for the estimation of in sewer total suspended solids (TSS) and Chemical Oxygen Demand (COD) loads during storm events. In the combined system of the Ecully urban catchment (Lyon, France), this technique is implemented since 2003, with more than 200 storm events monitored. This paper presents a method for the estimation of the dry weather (DW) contribution to measured total TSS and COD event loads with special attention devoted to uncertainties assessment. The method accounts for the dynamics of both discharge and turbidity time series at two minutes time step. The study is based on 180 DW days monitored in 2007-2008. Three distinct classes of DW days were evidenced. Variability analysis and quantification showed that no seasonal effect and no trend over the year were detectable. The law of propagation of uncertainties is applicable for uncertainties estimation. The method has then been applied to all measured storm events. This study confirms the interest of long term continuous discharge and turbidity time series in sewer systems, especially in the perspective of wet weather quality modelling.
机译:如今,连续高分辨率的长期浊度测量以及连续排放测量已被认为是估算暴风雨期间下水道中总悬浮固体(TSS)和化学需氧量(COD)负荷的合适技术。在Ecully城市集水区(法国里昂)的组合系统中,自2003年以来实施了此技术,监视了200多个暴风雨事件。本文提出了一种估计干旱天气(DW)对测得的总TSS和COD事件负荷的贡献的方法,并特别关注不确定性评估。该方法考虑了在两分钟时间步长处的排放和浊度时间序列的动力学。该研究基于2007-2008年监测的180天DW。证明了三种不同的DW天数。变异性分析和量化表明,没有可检测到的季节性影响和全年趋势。不确定性传播定律适用于不确定性估计。然后,该方法已应用于所有测得的暴风雨事件。这项研究证实了下水道系统中长期连续排放和浊度时间序列的重要性,特别是在潮湿天气质量模型的角度。

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