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Integrated effects of pavement simulation models and scale differences on the thermal environment of tropical cities: physical and numerical modeling experiments
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Orientador(es)
Resumo(s)
Simulation methods attempt to explain what happens in full-scale environments.
However, as simplification procedures, they also have their limitations and opportunities.
One of the applications is to use the output data of a physical model to calibrate
numerical simulation, or even to use outputs of numerical simulations to analyze urban
scale studies. But it is uncertain the error in the interaction between these models. This
study aims to analyze the impact of scale analysis and pavements simulation model
modification on ambient and surface temperature of asphalt pavement in a physical
model of a tropical city street canyons. Therefore, a scaled outdoor experiment
was conducted, and a numerical simulation model, using ENVI-met software, was used
to investigate the spatiotemporal variation of air and pavement surface temperature,
in urban (1:1) and reduced (1:15) scales. For studies on the surface temperature
of pavements, within the temperature range of 12 ºC to 37 ºC, it is recommended
to calibrate physical models using as input, data derived from numerical simulation
models, yielding a mean absolute percentage error (MAPE) of 4.9%. For estimating data
in real-world urban scale, within the air temperature range of 15 ºC to 37 ºC, it is proposed
to use output data from simulated models in ENVI-met, that presented a mean
absolute error (MAE) of ± 0.59 or physical models (MAE = ± 0.66). These results would be
useful for the development of urban surface temperatures parametrizations.
Descrição
Palavras-chave
Albedo Urban Pavement Microclimate Pavement and Street Canyon Model (PAVSCAM) Scaled Model ENVI-met
Contexto Educativo
Citação
Kowalski, L.F., Lopes, A.M.S., & Masiero, E. (2024). Integrated effects of pavement simulation models and scale differences on the thermal environment of tropical cities: physical and numerical modeling experiments. City and Built Environment, 2, 9. https://doi.org/10.1007/s44213-024-00032-5
Editora
Springer