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  Computational Fluid Dynamics (CFD) for Urban Air Quality Simulation and Management


   School of Engineering, Technology and Design

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

This research project offers an exciting opportunity for individuals passionate about addressing the critical issue of urban air quality through cutting-edge computational fluid dynamics (CFD) techniques. With the rapid urbanization and industrialization of cities worldwide, air pollution has become a pressing concern impacting public health and environmental sustainability. This project aims to develop and apply advanced CFD models to simulate and analyze the dispersion of air pollutants in urban environments, with a focus on understanding the complex interactions between atmospheric flow patterns, pollutant emissions, and urban morphology. Candidates with backgrounds in mechanical engineering, environmental engineering, atmospheric science, or related fields are encouraged to apply and contribute to the development of innovative CFD methodologies for urban air quality management. The research will involve refining and validating CFD models to accurately predict pollutant dispersion in urban areas, considering factors such as vehicle emissions, industrial activities, building configurations, and meteorological conditions. This includes exploring turbulence modeling techniques, pollutant transport algorithms, and coupled atmospheric-urban physics simulations to capture the intricate dynamics of pollutant dispersion and dispersion. Additionally, candidates will have the opportunity to collaborate with urban planners, environmental policymakers, and stakeholders to apply CFD simulations for assessing air quality interventions, such as traffic management strategies, green infrastructure implementation, and urban design modifications. Through interdisciplinary collaboration and hands-on research experience, candidates will be equipped with the skills and knowledge to drive innovation in CFD for urban air quality simulation and contribute to the development of sustainable urban environments. Applications are accepted on a rolling basis, providing candidates with the opportunity to join a dynamic research team dedicated to advancing computational techniques for addressing urban air quality challenges. Contact us to learn more about this exciting opportunity and how you can contribute to shaping a healthier and more sustainable urban future through computational fluid dynamics.

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Engineering (12)

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