Abstract
This dissertation describes an efficient method to map air pollution in the Netherlands at a lot of different locations. Air pollution is usually measured at a limited number of locations, whereas many more locations can be measured with monitoring devices built into a car. This is useful because air pollution (for example ultrafine particles and black carbon) can differ strongly between locations, also if these locations are close to one another. Disadvantage of mobile monitoring is the fact you can only measure a few seconds at every location. In this dissertation, I explain how to use such mobile measurements in order to develop a map with long-term exposure to air pollution. It is therefore possible to scale a mobile monitoring design to different cities and/or entire countries. This can greatly help in exposure assessment in health effects studies to air pollution.
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 8 Jun 2021 |
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Print ISBNs | 978-90-39373835 |
DOIs | |
Publication status | Published - 8 Jun 2021 |
Keywords
- Mobile Monitoring
- Air Pollution
- UFP
- Land-Use Regression Models
- GIS