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Abstract The utilization of mathematical models for predicting the concentration of toxic gases and particulate matter plays a crucial role in formulating public health policies that consider the numerous factors influencing their dispersion levels. In this study, we apply applies phenomenological mathematical models grounded in the conservative equations, coupled with turbulence κ – ε model, to simulate carbon monoxide (CO) dispersion emitted by vehicles in an urban environment located in Uberlandia – Minas Gerais, Brazil. Our analysis encompasses factors such as traffic signal downtimes, vehicle types and fleet ages, and the region's specific climatic conditions. These simulations were conducted using OpenFOAM® in an urban setting, allowing us to effectively address atmospheric stratification, mitigation, and heat exchange phenomena. Consequently, our findings can contribute to a better understanding of the complexities associated with urban air quality and aids in the development of strategies to mitigate the health risks associated with vehicular emissions.
Souza et al. (Thu,) studied this question.