Supervisory Team : Zhengtong Xie, Lois Huggett metoffice
We are in a changing world. This includes climate change, fast developing urban environments where most of the population lives.
It is crucial that we are able to predict in time street airflows, concentration of pollutants, chemicals and pathogens, to mitigate any impact and to be more resilient.
The project is to develop a computational fluid dynamics tool for city-scale problems with 1m resolution using the open source code PALM-4U and the efficient inflow turbulence generation method (Xie and Castro, 2008) to significantly speed up the numerical simulations for near-field dispersion problems, and therefore to bridge gaps in protection in urban environments or industrial sites.
An off-line coupling will be built between the developed tools and the Met Office UM and NAME codes.
Specifically, the objectives of the project are listed below : we will build and test an integrated tool that is much faster than real-time’ for prediction of wind and dispersion over a city scale urban area (about 5km X 5km) in around 1s time resolution and 1m space resolution.
We will validate the developed tool for near-field dispersion using the DAPPLE site (Marylebone Rd Gloucester Pl, London) data where the BT Tower meteorological conditions were used as the boundary conditions to drive the large-eddy simulations.
The effect of the variation of wind direction on near-field dispersion will be studied and quantified by using the BT Tower data.
You will join a large and flourishing aerodynamics group (