A new urban soil model for SOLENE-microclimat: Review, sensitivity analysis and validation on a car park

Abstract : The main purpose of this study is to propose a model that well reproduces the heat storage flux into urban ground as well as surface temperature evolution. For that purpose a complete bibliographic review is first achieved. Some lacks are identified and the methodology to define the model in agreement with the conclusions of the literature review is presented as well as the way to assess its performances. Three nodes distributions are proposed regarding ground temperature profiles using an analytic solution. A sensitivity study is achieved on a large number of parameters: the material properties, the size of the layers, the deep boundary condition, and the convective heat transfer coefficient. The model ability to reproduce heat conduction transfer is validated thanks to a measurement campaign realized on a large asphalt˚Corresponding parking lot during two clear and hot days. The RMSE between estimated and observed surface temperature is 0.75 0 C. The validation also include comparison with temperature at 4 different depths. The RMSE are 0.73 0 C, 0.48 0 C, 0.21 0 C and 0.06 0 C respectively at 5cm, 10cm, 34cm and 50cm. Performances obtained with the model using different nodes distributions are discussed and compared with results from the literature. The model presents better performances than most of others models applied in quite similar conditions. Finally, the application of the proposed model at a yearly scale demonstrates that the accuracy loss caused by the decrease of the nodes number depends on weather conditions. In particular, the most difficult days to simulate are clear and sunny days.
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Soumis le : vendredi 1 juin 2018 - 10:10:55
Dernière modification le : jeudi 20 septembre 2018 - 09:40:02


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Marie-Hélène Azam, Benjamin Morille, Jérémy Bernard, Marjorie Musy, Fabrice Rodriguez. A new urban soil model for SOLENE-microclimat: Review, sensitivity analysis and validation on a car park. Urban Climate, Elsevier, 2017, 〈10.1016/j.uclim.2017.08.010〉. 〈hal-01629430v2〉



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