Czech Technical University, Prague, Czech Republic.
Water Sci Technol. 2012;66(3):673-80. doi: 10.2166/wst.2012.229.
The combined sewer system of the City of Prague, similar to other relevant locations, is strongly affected by infiltrating waters. The knowledge of their volume is one of the important parameters with respect to sewer system operation, maintenance and reconstruction. The methodology is based on the variation of diurnal chemical oxygen demand (COD) load and continuous water quality monitoring using in-line absorption spectrometry. This approach allows the identification of individual components of the diurnal wastewater hydrograph, in particular the contribution of parasitic water flow to wastewater discharge. The statistical relevance was tested using Monte Carlo simulations on a 7-year data series of flow rate. The results show that application of this methodology provides specific relevant information about individual sub-catchments within an entire sewer system, particularly in terms of absolute and relative values of I/I and structural state indicators. Processing of long-term data series gives clear information about the significance of the monitoring period length for the relevance of obtained results.
布拉格市的合流制下水道系统与其他相关地点类似,受到大量渗流水的强烈影响。这些水量的知识是下水道系统运行、维护和重建的重要参数之一。该方法基于昼夜化学需氧量(COD)负荷的变化以及使用在线吸收光谱法进行的连续水质监测。这种方法允许识别昼夜污水过程图的各个组成部分,特别是寄生水流对污水排放的贡献。使用流量的 7 年数据系列进行的蒙特卡罗模拟测试了统计相关性。结果表明,该方法的应用提供了整个下水道系统中各个子流域的具体相关信息,特别是在 I/I 和结构状态指标的绝对值和相对值方面。长期数据系列的处理清楚地说明了监测期长度对获得结果的相关性的重要性。