title: Assessment of annual pollutant loads in combined sewers from continuous turbidity measurements: sensitivity to calibration data.
abstract: This article presents a methodology for assessing annual wet weather Suspended Solids (SS) and Chemical Oxygen Demand (COD) loads in combined sewers, along with the associated uncertainties from continuous turbidity measurements. The proposed method is applied to data from various urban catchments in the cities of Paris and Nantes. The focus here concerns the impact of the number of rain events sampled for calibration (i.e. through establishing linear SS/turbidity or COD/turbidity relationships) on the uncertainty of annual pollutant load assessments. Two calculation methods are investigated, both of which rely on Monte Carlo simulations: random assignment of event-specific calibration relationships to each individual rain event, and the use of an overall relationship built from the entire available data set. Since results indicate a fairly low inter-event variability for calibration relationship parameters, an accurate assessment of pollutant loads can be derived, even when fewer than 10 events are sampled for calibration purposes. For operational applications, these results suggest that turbidity could provide a more precise evaluation of pollutant loads at lower cost than typical sampling methods.
authors.affiliation: Université Paris-Est, Cereve, UMR-MA-102, AgroParisTech, Champs-sur-Marne Cedex 2, France. celine.lacour@cereve.enpc.fr
authors.forename: C
authors.initials: C
authors.lastname: Lacour
authors.forename: C
authors.initials: C
authors.lastname: Joannis
authors.forename: G
authors.initials: G
authors.lastname: Chebbo
mesh_terms: D002138:Calibration; D003198:Computer Simulation; D009391:Nephelometry and Turbidimetry / Q000379:methods*; D010100:Oxygen / Q000737:chemistry; D010297:Paris; D012722:Sewage / Q000032:analysis*; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014887:Weather
chemical_list: D012722:Sewage; D014874:Water Pollutants, Chemical; D010100:Oxygen