Abstract
Permeable car parks, as part of SuDS (Sustainable Drainage Systems), are developed for better management practice of urban stormwater. Even if lots of researches studied permeable pavements, none specifically studied green permeable pavement impact on urban water quantity and quality, or modelled its behaviour. In this study three types of experimental parking places (1 with gravels and 2 with vegetation) are monitored. The data obtained from a simulated rain event and a natural rain event, served to test and adapt a reservoir model, initially developed for green roofs. First calibration tests showed that permeable car parks (vegetalized or not) behaviour can be simulated with the reservoir model with a calculated water mass balance around ±15% for different conditions. However, the model needs to be improved to have better water mass balance results, and to be better adapted to green permeable car park.
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References
Illgen, M.: Infiltration and surface runoff processes on pavements: physical phenomena and modelling. In: Proceedings of 11th International Conference on Urban Drainage, 31 August–5 September 2008, Edinburgh, Scotland, UK (2008)
Korkealaakso, J., Kuosa, H., Niemeläinen, E., Tikanmäki, M.: Review of Pervious Pavement Dimensioning, Hydrological Models and Their Parameter Needs. State-of-the-Art (2014)
Ramier, D., Berthier, E., De Gouvello, B.: FAVEUR - A Simple Model for Design Extensive Green Roofs (2018). Submitted to UDM 2018
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Lucie, V., David, R., Pierre, G., Marie-Christine, G. (2019). Modelling of Green Permeable Car Park Water Retention. In: Mannina, G. (eds) New Trends in Urban Drainage Modelling. UDM 2018. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-99867-1_20
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DOI: https://doi.org/10.1007/978-3-319-99867-1_20
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