Capture and analysis of Air Quality data from a dense urban sensor network

Lead Research Organisation: University of Sheffield
Department Name: Civil and Structural Engineering

Abstract

The Urban Flows Observatory will incorporate a network of sensors to monitor air quality (concentration of common pollutant gases and particulates) which will provide spatio-temporal point measurements of pollutants. The data from these sensors will be connected into a cloud-based platform to collate and visualize the data. Air pollution in UK cities is a major problem - UK is one of five countries persistently exceeding legal nitrogen dioxide levels as a result of pollution generated by factories and vehicles. It is estimated that in UK alone pollution causes more than 50,000 premature deaths and costs the UK economy more than £20bn per year. To help address this major challenge, the project aims is to develop new methodologies to design multi-sensor systems and to model, analyse and forecast pollution in relation to its sources, urban activities, flows and individual behaviours in order to support risk-informed critical decision making under uncertainty and to assess effectiveness of policy interventions. A major goal is understand the key contributing drivers that lead to improving or worsening air quality. Disaggregating the causes of air quality is essential if decision makers are to reduce levels through operational and policy choices. This will require the blending and fusing of data from other Observatory systems to predict and interpret causation.

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512175/1 30/09/2017 01/01/2024
1979845 Studentship EP/R512175/1 30/09/2017 29/09/2021 Said Munir