Stochastic evaluation of annual micropollutant loads and their uncertainties in separate storm sewers

Ali Hannouche; Ghassan Chebbo; Claude Joannis; Johnny Gasperi; Marie-Christine Gromaire; Régis Moilleron; Sylvie Barraud; Véronique Ruban

doi:10.1007/s11356-017-0384-5

Stochastic evaluation of annual micropollutant loads and their uncertainties in separate storm sewers

Authors

Hannouche, Ali¹
Chebbo, Ghassan^{1, 2}
Joannis, Claude³
Gasperi, Johnny¹
Gromaire, Marie-Christine¹
Moilleron, Régis¹
Barraud, Sylvie⁴
Ruban, Véronique³

¹ Université Paris-Est, LEESU, UMR-MA 102, UPEC, UPEMLV, ENPC, Agro ParisTech, 6 et 8 avenue Blaise Pascal - Cité Descartes, Champs-sur-Marne, Cedex 2, 77455, France , Champs-sur-Marne, Cedex 2 (France)
² Lebanese University, Faculty of Engineering III, Hadath, Lebanon , Hadath (Lebanon)
³ LUNAM, IFSTTAR – LEE, Département Géotechnique Eau, Risques naturels et Sciences de la terre – Laboratoire Eau et Environnement, route de Bouaye CS4, Bouguenais, Cedex,, 44344, France , Bouguenais, Cedex, (France)
⁴ Université de Lyon, INSA Lyon, Université Lyon1, DEEP, 34 avenue des Arts, Villeurbanne, Cedex, 69621, France , Villeurbanne, Cedex (France)

Type

Published Article

Journal

Environmental Science and Pollution Research

Publisher

Springer-Verlag

Publication Date

Oct 11, 2017

Volume

Issue

Pages

28205–28219

Identifiers

DOI: 10.1007/s11356-017-0384-5

Source

Springer Nature

Keywords

License

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Abstract

This article describes a stochastic method to calculate the annual pollutant loads and its application over several years at the outlet of three catchments drained by separate storm sewers. A stochastic methodology using Monte Carlo simulations is proposed for assessing annual pollutant load, as well as the associated uncertainties, from a few event sampling campaigns and/or continuous turbidity measurements (representative of the total suspended solids concentration (TSS)). Indeed, in the latter case, the proposed method takes into account the correlation between pollutants and TSS. The developed method was applied to data acquired within the French research project “INOGEV” (innovations for a sustainable management of urban water) at the outlet of three urban catchments drained by separate storm sewers. Ten or so event sampling campaigns for a large range of pollutants (46 pollutants and 2 conventional water quality parameters: TSS and total organic carbon (TOC)) are combined with hundreds of rainfall events for which, at least one among three continuously monitored parameters (rainfall intensity, flow rate, and turbidity) is available. Results obtained for the three catchments show that the annual pollutant loads can be estimated with uncertainties ranging from 10 to 60%, and the added value of turbidity monitoring for lowering the uncertainty is demonstrated. A low inter-annual and inter-site variability of pollutant loads, for many of studied pollutants, is observed with respect to the estimated uncertainties, and can be explained mainly by annual precipitation.

Abstract