Acoplamento de modelagem do escoamento de mesoescala e microescala meteorológica no interior do dossel urbano
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Data
2020-02-19
Autores
Maciel, Felipe Simões
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Universidade Federal do Espírito Santo
Resumo
The present work investigates the impact of the use of mesoscale meteorological model data coupled as boundary conditions for microscale CFD (Computational Fluid Dynamics) models for a real urban area. Numerical simulations were performed using CFD considering transient input data from the WRF model and from the fixed weather station. The geometry studied is based on a real urban area of Metropolitan Region of Vitória, in Brazil. The microscale CFD modeling consists of solving the mass and momentum conservation equations for transient flow, on a discretized domain formed by 3D hexahedral mesh. The standard k-ε model was used for the treatment of turbulence. The coupling of wind speed and direction data from the mesoscale model (considering the macroscopic dynamics of the atmosphere) is carried out by using a User Defined Function (UDF), which basically reads output data from the WRF simulations and creates boundary conditions for the microscale CFD simulations. The same UDF was used to couple data from Vitória Airport weather station as input data for CFD domain. In order to evaluate the accuracy of the simulations, a 16 days field campaign was also conducted to measure wind speed and direction at three points within the neighborhood. The considerable gain was observed comparing WRF results with CFD-WRF coupling results at the monitoring points. The velocity and direction values from the simulations follow a trend similar to the data measured in the field and are in accordance with commonly used acceptance criteria. For the case with airport station data as an entry condition, there is a significantly greater agreement between the data. This is due to the better quality of input data provided by the airport meteorological station. The result of microscale modeling using mesoscale data is shown to be sensitive to the quality of the input data, since the better agreement between the results is observed in periods of better WRF data quality. Also, good results were obtained from the use of measured data as input for the CFD model. Using data from mesoscale models such as WRF is a viable option for studying wind field modeling and pollutant dispersion in areas where meteorological measurement stations are not available.
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Poluição do ar , Qualidade do Ar , Fluidodinâmica computacional