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雨水径流中污染物场地平均浓度对实验数据的敏感性。

Sensitivity to experimental data of pollutant site mean concentration in stormwater runoff.

作者信息

Mourad M, Bertrand-Krajewski J L, Chebbo G

机构信息

URGC Hydrologie Urbaine, INSA de Lyon, 69621 Villeurbanne cedex, France.

出版信息

Water Sci Technol. 2005;51(2):155-62.

Abstract

Urban wet weather discharges are known to be a great source of pollutants for receiving waters, which protection requires the estimation of long-term discharged pollutant loads. Pollutant loads can be estimated by multiplying a site mean concentration (SMC) by the total runoff volume during a given period of time. The estimation of the SMC value as a weighted mean value with event runoff volumes as weights is affected by uncertainties due to the variability of event mean concentrations and to the number of events used. This study carried out on 13 catchments gives orders of magnitude of these uncertainties and shows the limitations of usual practices using few measured events. The results obtained show that it is not possible to propose a standard minimal number of events to be measured on any catchment in order to evaluate the SMC value with a given uncertainty.

摘要

城市暴雨径流排放是受纳水体污染物的重要来源,保护受纳水体需要估算长期排放的污染物负荷。污染物负荷可通过将某一地点的平均浓度(SMC)乘以给定时间段内的总径流量来估算。将SMC值估算为以事件径流量为权重的加权平均值,会受到事件平均浓度的变异性以及所使用事件数量导致的不确定性的影响。本研究对13个集水区进行了调查,给出了这些不确定性的量级,并显示了使用少量实测事件的常规做法的局限性。所得结果表明,不可能针对任何集水区提出一个标准的最少测量事件数量,以便在给定的不确定性下评估SMC值。

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