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Modeling the temporal variability of zinc concentrations in zinc roof runoff—experimental study and uncertainty analysis

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Abstract

This study investigates the temporal variability of zinc concentrations from zinc roof runoff. The influence of rainfall characteristics and dry period duration is evaluated by combining laboratory experiment on small zinc sheets and in situ measurements under real weather conditions from a 1.6-m2 zinc panel. A reformulation of a commonly used conceptual runoff quality model is introduced and its ability to simulate the evolution of zinc concentrations is evaluated. A systematic and sharp decrease from initially high to relatively low and stable zinc concentrations after 0.5 to 2 mm of rainfall is observed for both experiments, suggesting that highly soluble corrosion products are removed at early stages of runoff. A moderate dependence between antecedent dry period duration and the magnitude of zinc concentrations at the beginning of a rain event is evidenced. Contrariwise, results indicate that concentrations are not significantly influenced by rainfall intensities. Simulated rainfall experiment nonetheless suggests that a slight effect of rainfall intensities may be expected after the initial decrease of concentrations. Finally, this study shows that relatively simple conceptual runoff quality models may be adopted to simulate the variability of zinc concentrations during a rain event and from a rain event to another.

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Acknowledgments

This research has been carried out under the OPUR research program. The authors gratefully acknowledge the Seine-Normandy Water Agency, Val-de-Marne Departmental Council, Seine-Saint-Denis Departmental Council, Hauts-de-Seine Departmental Council, City of Paris, and the Interdepartmental Association for Sewerage Services in the Paris Metropolitan Area (SIAAP), and the French Ministry of Ecology Sustainable Development and Energy for financial support. The authors additionally acknowledge use of the installations of the Scientific and Technical Centre for Building (CSTB).

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Authors and Affiliations

  1. LEESU, UMR MA 102 - Agro ParisTech, Ecole des Ponts ParisTech, Cité Descartes, Université Paris Est, 6-8 av. Blaise Pascal, 77455, Champs-sur-Marne, France

    Jérémie Sage, Elissar El Oreibi, Mohamed Saad & Marie-Christine Gromaire

  2. CEREMA (National center for studies and expertise on risks, environment, mobility, and urban and country planning), DT Ile-de-France, 12 rue Teisserenc de Bort, 78180, Trappes, France

    Jérémie Sage

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  1. Jérémie Sage
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  2. Elissar El Oreibi
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  3. Mohamed Saad
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  4. Marie-Christine Gromaire
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Correspondence to Jérémie Sage.

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Responsible editor: Marcus Schulz

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A.1—Analysis of the innovations (results shown at the maximum of likelihood for the initial model formulation)—A.1a: autocorrelation plot, A.1b: quantile-quantile plot of innovations (DOCX 73 kb)

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Sage, J., El Oreibi, E., Saad, M. et al. Modeling the temporal variability of zinc concentrations in zinc roof runoff—experimental study and uncertainty analysis. Environ Sci Pollut Res 23, 16552–16566 (2016). https://doi.org/10.1007/s11356-016-6827-6

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  • DOI: https://doi.org/10.1007/s11356-016-6827-6

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