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

  • Mohammad Mourad
  • , Jean Luc Bertrand-Krajewski
  • , G. Chebbo

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)155-162
Number of pages8
JournalWater Science and Technology
Volume51
Issue number2
DOIs
Publication statusPublished - 1 Jan 2005

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Concentration
  • Sample size
  • Uncertainty
  • Urban wet weather discharges
  • Variability

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