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Assessing characteristic time and space scales of in-sewer processes by analysis of one year of continuous in-sewer monitoring data

机译:通过分析连续一年的下水道监测数据来评估下水道过程的特征时空尺度

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Long-term and high-frequency in-sewer monitoring opens up a broad range of possibilities to study (influences on) water quantity and quality variations. Using data from the Eindhoven wastewater system in The Netherlands both dry weather flow and wet weather flow situations have been studied. For approximately 160 dry weather days mean diurnal variations of flow and pollutant concentrations have been derived. For wet weather situations (≈ 40 storm events) peak load factors have been studied. Generally, peak load factors for all considered pollutant parameters are larger than one. Peak load factors for particulate matter are larger than for dissolved constituents. Also, the smallest catchment area consistently shows the largest mean peak factors and vice versa.
机译:长期的高频下水道监测为研究(影响)水量和水质变化提供了广泛的可能性。利用来自荷兰埃因霍温废水系统的数据,对干旱天气和潮湿天气情况都进行了研究。对于大约160个干燥天气日,已经得出流量和污染物浓度的日变化。对于潮湿的天气情况(≈40次暴风雨事件),已经研究了峰值负荷系数。通常,所有考虑的污染物参数的峰值负载因子都大于1。颗粒物质的峰值负荷系数大于溶解成分的峰值负荷系数。同样,最小的流域面积始终显示出最大的平均峰值因子,反之亦然。

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