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Optimal green-space configuration/planning to cool a city

Project Description

Risks associated with extreme weather in cities, such as heat waves, are all projected to increase with global climate change. Governments have made considerable effort to determine feasible urban planning and climate mitigation strategies. Green technologies are among popular choices due to their multiple fold benefits (biodiversity, biophilic, sustainability, natural resources etc). This proposal attempts to advance the knowledge in this discipline so that informed decisions can be made regarding mitigating the impacts of urban heat effectively. The aim of this research is to answer a question: What are the effective cooling scales associated with urban green spaces of a city? A three-dimensional mesoscale meteorological model will be adopted in the study. This model is designed to simulate various urban park configurations (e.g. size, number, and spatial distribution) . Model validation will be conducted using the urban climate data from the Birmingham Urban Climate Laboratory (BUCL), which has been functioning since 2013 in collecting data for the high density network in Birmingham. The stations with nearby urban parks will be selected for the validation.
Applicants are expected to have a very good bachelor’s or master’s degree in the subjects of atmospheric science, meteorology, engineering, or applied mathematics. Strong motivation of studying numerical/computational modelling or fluid dynamics is desired. Programming skills are preferred. The PhD student will join a vibrant research group, Environmental Health Sciences, comprised of leading scientists in the areas of transport, chemical and physical transformations of atmospheric constituents, and the effects of air pollution upon the environment, and particularly upon human health.
Keywords: Urban heat island, cooling by urban green space, climate change, modelling, microscale urban climate, CFD

How good is research at University of Birmingham in Geography, Environmental Studies and Archaeology?

FTE Category A staff submitted: 25.00

Research output data provided by the Research Excellence Framework (REF)

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