Project Details
Description
A new strategy for understanding green house gases (GHGs) and air quality at street level in near real time, giving pedestrians, companies, and policy-makers unique insight into their GHG emissions and air quality experiences. Instead of using a small number of highly sensitive instruments to measure GHGs and air quality, we blanket interesting locations with a network of sensors - called 'nodes' - approximately 1 mile (2km) apart from each other. Although our individual nodes are less precise than the highly sensitive traditional sensors, when working as part of a network, our nodes create a highly detailed map of CO2 and pollutants in our air. Our nodes are sampling the air for 6 gases and also aerosol in the same locations, every minute of the day. The data provides a clear route to evaluating the effectiveness of local and regional efforts to reduce GHG emissions, improve air quality, improve environmental equity and reduce the detrimental effects of emissions on public health.
| Status | Not started |
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Fingerprint
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Research output
- 1 Article
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A comparison of carbon emissions perspectives for a single city and insights for data developers and policymakers
Williamson, J., Allan, G., Kilian, L., Owen, A., Kodoli, S., Michie, C. & Tachtatzis, C., 10 Apr 2026, (E-pub ahead of print) In: Environmental Research Communications . 25 p.Research output: Contribution to journal › Article › peer-review
Datasets
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Data for: "Urban CO2 Flux Estimation Using Sensor-Based Inverse Modeling: Insights from Glasgow"
Davison, C. (Creator), Michie, C. (Supervisor) & Kodoli, S. (Creator), University of Strathclyde, 26 Nov 2025
DOI: 10.15129/5224f5cf-0a70-4bf8-82fd-b642eba99702
Dataset
Activities
- 1 Oral presentation
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Glasgow Environmental Modeling of Indoor and Outdoor Air
Kodoli, S. (Speaker)
15 Oct 2024Activity: Talk or Presentation › Oral presentation