Skip to Main content Skip to Navigation
Journal articles

Development and Assessment of the Physically-Based 2D/1D Model “TRENOE” for Urban Stormwater Quantity and Quality Modelling

Abstract : The widespread use of separate stormwater systems requires better understanding of the interactions between urban landscapes and drainage systems. This paper describes a novel attempt of developing urban 2D-surface and 1D-drainage model “TRENOE” for urban stormwater quantity and quality modelling. The physically-based TREX model and the conceptual CANOE model are integrated into the TRENOE platform, highlighting that the roofs of buildings are represented separately from the surface model, but simulated as virtual “sub-basins” in the CANOE model. The modelling approach is applied to a small urban catchment near Paris (Le Perreux sur Marne, 0.12 km2). Simulation scenarios are developed for assessing the influences of different “internal” (model structure, numerical issues) and “external” (parameters, input data) factors on model performance. The adequate numerical precision and the detailed information of land use data are identified as crucial elements of water quantity modelling. Contrarily, the high-resolution topographic data and the common variations of the water flow parameters are not equally significant at the scale of a small urban catchment. Concerning water quality modelling, particle size distribution is revealed to be an important factor, while the empirical USLE equations need to be completed by a raindrop detachment process.
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02154305
Contributor : Yi Hong <>
Submitted on : Wednesday, June 12, 2019 - 7:07:03 PM
Last modification on : Friday, June 5, 2020 - 5:38:02 AM

Links full text

Identifiers

Citation

Yi Hong, Céline Bonhomme, Ghassan Chebbo. Development and Assessment of the Physically-Based 2D/1D Model “TRENOE” for Urban Stormwater Quantity and Quality Modelling. Water, MDPI, 2016, 8 (12), pp.606. ⟨10.3390/w8120606⟩. ⟨hal-02154305⟩

Share

Metrics

Record views

104