Project
Operationalising Ambient Air Pollution Estimation
Status: Not defined
Publication State: published
Abstract
This doctoral research focuses on developing and implementing machine-learning methodologies to estimate ambient air pollution, introducing scalable machine-learning approaches for estimating hourly pollution levels, aiming to enhance the accuracy and accessibility of air quality data for environmental analysis and policy-making.
Abbreviation: Not defined
Keywords: Ambient Air Quality, England, Nitrogen Dioxide, Nitrogen Oxides, Ozone, Particulate Matter, Sulphur Dioxide, Machine Learning, Air Pollution Scenarios, AI
Details
| Keywords: | Ambient Air Quality, England, Nitrogen Dioxide, Nitrogen Oxides, Ozone, Particulate Matter, Sulphur Dioxide, Machine Learning, Air Pollution Scenarios, AI |
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Related Documents
| Operationalising Ambient Air Pollution Estimation PhD Thesis |
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