№ files_lp_4_process_2_85092
File format: docx Character count: 8530 File size: 52 KB
Funding information: Self-funded students only
Project description: Britain’s rivers are increasingly being polluted by overflows of combined sewers, with surface water during heavy rainfall overwhelming the sewer infrastructure. Much has been said about the role of climate change and increased heavy rainfall on this problem, but what role is the increasing imperviousness of the UK’s towns and cities playing in the additional burden? This project will explore the use of geospatial data (e.g. national mapping datasets and remote sensing) to map the conversion of greenspaces, particularly front gardens in urban areas, to impermeable surfaces. This could use machine learning techniques to identify lost gardens from aerial photography or high-resolution satellite imagery, or analysis of large scale mapping data like Ordnance Survey MasterMap. Once this analysis has been undertaken over multiple timesteps, hydrodynamic surface water models such as CityCAT will be used to explore the impact of such urbanisation on the sewer network, identifying the additional water burden. This will allow the development of policies to control such creeping loss of permeability and quantification of impacts.
References (optional): Application enquires: Alistair Ford, [email protected]
PhD Disciplines & Subject areas: Environmental Sciences
Price: 8 / 10 USD
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