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Assessing dry weather ow 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风暴事件负荷中的干旱天气贡献

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Continuous high resolution long term turbidity measurements along with continuous dischargenmeasurements are now recognised as an appropriate technique for the estimation of in sewer totalnsuspended solids (TSS) and Chemical Oxygen Demand (COD) loads during storm events. In thencombined system of the Ecully urban catchment (Lyon, France), this technique is implemented sincen2003, with more than 200 storm events monitored. This paper presents a method for the estimationnof the dry weather (DW) contribution to measured total TSS and COD event loads with specialnattention devoted to uncertainties assessment. The method accounts for the dynamics of bothndischarge and turbidity time series at two minutes time step. The study is based on 180 DW daysnmonitored in 2007–2008. Three distinct classes of DW days were evidenced. Variability analysis andnquantification showed that no seasonal effect and no trend over the year were detectable. The law ofnpropagation of uncertainties is applicable for uncertainties estimation. The method has then beennapplied to all measured storm events. This study confirms the interest of long term continuousndischarge and turbidity time series in sewer systems, especially in the perspective of wet weathernquality modelling.
机译:连续的高分辨率长期浊度测量以及连续的排放量测量现已被认为是估算暴风雨期间下水道总悬浮固体(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,此技术自2003年开始实施,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,并特别注意不确定性评估。该方法考虑了两分钟时间步长下的流量和浊度时间序列的动态变化。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。变异性分析和量化显示,没有可检测到的季节变化和全年趋势。不确定性的传播定律适用于不确定性估计。该方法随后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长期连续排放和浊度时间序列的重要性,特别是在湿润天气质量模型的角度。

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