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Quantifying the impact of runoff events on microbiological contaminant concentrations entering surface drinking source waters

机译:量化径流事件对进入地表饮用水水源的微生物污染物浓度的影响

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Concentrations of microbiological contaminants in streams increase during rainfall-induced higher flow 'event' periods as compared to 'baseflow' conditions. If the stream feeds a drinking water reservoir, such periods of heightened pathogen loads may pose a challenge to the water treatment plant and subsequently a health concern to water consumers downstream. In order to manage this risk, it is desirable to first quantify the differences in surface water quality between baseflow and event conditions. The Event Mean Concentration (EMC) is a flow-weighted average concentration of a contaminant over the duration of a single event, proposed here as a standard parameter for quantifying the net effect of events on microbial water quality. Application of the EMC concept was assessed using flow and quality data for several events from an urbanised catchment. Expected mean EMCs were significantly larger than expected mean baseflow concentrations (p-value ≤ 0.012) for three microbial agents - Escherichia coli (13,000 [n = 7] v. 610 [n = 767 mpn/100 ml), Cryptosporidium (234 [n = 6] v. 51 [n = 16] oocysts/10 litres) and Campylobacter (48 [n = 5] v. 2.1 [n = 16] mpn/100 ml). These parameter estimates were complemented by estimating data variability and uncertainty in the form of second-order random variables. As such the results are in a format appropriate for potential use as components in probabilistic risk assessments evaluating the effect runoff events have on drinking water quality.
机译:与“基流”条件相比,在降雨引起的高流量“事件”期间,河流中微生物污染物的浓度增加。如果水流进入饮用水水库,则病原体负荷增加的这段时期可能给水处理厂带来挑战,进而给下游的用水者带来健康问题。为了管理该风险,希望首先量化基流和事件条件之间的地表水质量差异。事件平均浓度(EMC)是单个事件持续时间内污染物的流量加权平均浓度,在此提出作为量化事件对微生物水质净影响的标准参数。使用流量和质量数据评估了城市集水区的几次事件,从而评估了EMC概念的应用。三种微生物制剂的预期平均EMC值显着大于预期的平均底流浓度(p值≤0.012)-大肠杆菌(13,000 [n = 7] v。610 [n = 767 mpn / 100 ml],隐孢子虫(234 [n] = 6] v。51 [n = 16]卵囊/ 10升)和弯曲杆菌(48 [n = 5] v。2.1 [n = 16] mpn / 100 ml)。通过以二阶随机变量的形式估计数据的可变性和不确定性来补充这些参数估计。因此,结果采用适合于潜在概率评估的格式,以评估径流事件对饮用水质量的影响。

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