Sensor Networks for Monitoring Air Quality
Lead Research Organisation:
University of Cambridge
Department Name: Chemistry
Abstract
Sensor networks provide significant advantages over single positioned air quality sensors. They provide a much clearer image of air quality over a defined geometric area, and whilst the accuracy of each individual sensor may not be sufficient for monitoring purposes, this can be offset by coupling the sensors into a network, for example propagating the calibration between instruments in real time.
This project will involve the analysis of data from low-cost sensors collected from three new NERC 'Super Sites' (London, Manchester and Birmingham) and at other suitable sites, and will involve the planning and installation of the sensors, and the analysis of the data collected to assess sensor performance over a period of time. The project will also focus on developing data analysis tools to process the large amounts of data generated by these sensor networks. These tools will allow the effective calibration of sensors within a network, and the ability to track short and long-term trends and fluctuations within the area. Combined with wind direction data, this could help pinpoint the sources of pollution within cities.
This project will involve the analysis of data from low-cost sensors collected from three new NERC 'Super Sites' (London, Manchester and Birmingham) and at other suitable sites, and will involve the planning and installation of the sensors, and the analysis of the data collected to assess sensor performance over a period of time. The project will also focus on developing data analysis tools to process the large amounts of data generated by these sensor networks. These tools will allow the effective calibration of sensors within a network, and the ability to track short and long-term trends and fluctuations within the area. Combined with wind direction data, this could help pinpoint the sources of pollution within cities.
People |
ORCID iD |
Roderic Jones (Primary Supervisor) | |
Qingping Ma (Student) |
Publications
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/R511870/1 | 30/09/2017 | 29/09/2023 | |||
1944587 | Studentship | EP/R511870/1 | 30/09/2017 | 29/09/2021 | Qingping Ma |
Description | - An improved understanding of the performance of air quality instrumentation in the context of a mobile measurement system. - An improved understanding of the limitations of a mobile air quality instrumentation system. |
Exploitation Route | In the deployment of development of mobile air quality instrumentation. For example, a large amount of mobile air quality data has been collected by various research groups globally - this research should contribute to the interpretation of this data. |
Sectors | Aerospace Defence and Marine Energy Environment Transport |