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Estimation of Surface-Level Carbon Monoxide (CO) Concentrations Based on Satellite CO mass with Meteorological and Ancillary Variables over the Netherlands
Ordokov, A. (2025) Estimation of Surface-Level Carbon Monoxide (CO) Concentrations Based on Satellite CO mass with Meteorological and Ancillary Variables over the Netherlands.
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| Abstract: | It is crucial to monitor CO concentrations due to harmful effects on human lives and their indirect role in climate change, especially in the case of deactivating air quality monitoring stations across the Netherlands. Moreover, there is a lack of frameworks designed to estimate surface-level CO concentrations in the Netherlands. To address these issues, this study aims to develop and evaluate linear and machine learning models for estimating surface CO concentrations in the Netherlands, utilizing Sentinel-5P satellite data in conjunction with meteorological and ancillary variables. The observation included daily satellite-based observations from 19 locations and was derived on a fixed timescale from January 1, 2022, to December 31, 2023. The validation results demonstrate an R² of 0.53 for random forest with location-based cross-validation. Other approaches yielded R² values of 0.44, 0.30, 0.20, and 0.12 for extreme gradient boosting, support vector machine, multilinear regression, and linear regression models, respectively. Furthermore, the feature analysis highlighted the considerable importance of meteorological variables for all models that included all variables. Ancillary variables had minimal influence, suggesting a need for further methodological improvement. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 43 environmental science, 54 computer science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/107538 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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