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  • (-) Empa Authors = Grange, Stuart K.
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Impact of COVID-19 lockdown on particulate matter oxidative potential at urban background <em>versus</em> traffic sites
Borlaza, L. J. S., Ngoc Thuy, V. D., Grange, S., Socquet, S., Moussu, E., Mary, G., … Uzu, G. (2023). Impact of COVID-19 lockdown on particulate matter oxidative potential at urban background versus traffic sites. Environmental Science: Atmospheres, 3, 942-953. https://doi.org/10.1039/d3ea00013c
Meteorologically normalised long-term trends of atmospheric ammonia (NH<sub>3</sub>) in Switzerland/Liechtenstein and the explanatory role of gas-aerosol partitioning
Grange, S. K., Sintermann, J., & Hueglin, C. (2023). Meteorologically normalised long-term trends of atmospheric ammonia (NH3) in Switzerland/Liechtenstein and the explanatory role of gas-aerosol partitioning. Science of the Total Environment, 900, 165844 (19 pp.). https://doi.org/10.1016/j.scitotenv.2023.165844
The impact of plug-in fragrance diffusers on residential indoor VOC concentrations
Warburton, T., Grange, S. K., Hopkins, J. R., Andrews, S. J., Lewis, A. C., Owen, N., … Xia, B. (2023). The impact of plug-in fragrance diffusers on residential indoor VOC concentrations. Environmental Science: Processes and Impacts, 25(4), 805-817. https://doi.org/10.1039/D2EM00444E
Machine learning and meteorological normalization for assessment of particulate matter changes during the COVID-19 lockdown in Zagreb, Croatia
Lovrić, M., Antunović, M., Šunić, I., Vuković, M., Kecorius, S., Kröll, M., … Šimić, I. (2022). Machine learning and meteorological normalization for assessment of particulate matter changes during the COVID-19 lockdown in Zagreb, Croatia. International Journal of Environmental Research and Public Health, 19(11), 6937 (16 pp.). https://doi.org/10.3390/ijerph19116937
A case study application of machine-learning for the detection of greenhouse gas emission sources
Shaw, J. T., Allen, G., Topping, D., Grange, S. K., Barker, P., Pitt, J., & Ward, R. S. (2022). A case study application of machine-learning for the detection of greenhouse gas emission sources. Atmospheric Pollution Research, 13(10), 101563 (9 pp.). https://doi.org/10.1016/j.apr.2022.101563
Switzerland's PM<sub>10</sub> and PM<sub>2.5</sub> environmental increments show the importance of non-exhaust emissions
Grange, S. K., Fischer, A., Zellweger, C., Alastuey, A., Querol, X., Jaffrezo, J. L., … Hueglin, C. (2021). Switzerland's PM10 and PM2.5 environmental increments show the importance of non-exhaust emissions. Atmospheric Environment: X, 12, 100145 (14 pp.). https://doi.org/10.1016/j.aeaoa.2021.100145
Frequency of use of household products containing VOCs and indoor atmospheric concentrations in homes
Heeley-Hill, A. C., Grange, S. K., Ward, M. W., Lewis, A. C., Owen, N., Jordan, C., … Adamson, G. (2021). Frequency of use of household products containing VOCs and indoor atmospheric concentrations in homes. Environmental Science: Processes and Impacts, 23(5), 699-713. https://doi.org/10.1039/d0em00504e
Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning
Lovrić, M., Pavlović, K., Vuković, M., Grange, S. K., Haberl, M., & Kern, R. (2021). Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning. Environmental Pollution, 274, 115900 (9 pp.). https://doi.org/10.1016/j.envpol.2020.115900
Post-Dieselgate: evidence of NO&lt;sub&gt;x&lt;/sub&gt; emission reductions using on-road remote sensing
Grange, S. K., Farren, N. J., Vaughan, A. R., Davison, J., & Carslaw, D. C. (2020). Post-Dieselgate: evidence of NOx emission reductions using on-road remote sensing. Environmental Science and Technology Letters, 7(6), 382-387. https://doi.org/10.1021/acs.estlett.0c00188