Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen
- Author
- Matteo Reggente, Jan Peters, Jan Theunis, Martine Van Poppel, Michaël Rademaker (UGent) , Prashant Kumar and Bernard De Baets (UGent)
- Organization
- Keywords
- ROAD, LOS-ANGELES, NANOPARTICLES, STREET CANYON, SUBMICROMETER PARTICLES, EMISSION FACTORS, SIZE DISTRIBUTION, Gaussian process regression, Urban air pollution, MAJOR HIGHWAY, AIR-QUALITY, VEHICLE EMISSIONS, Number distributions, Ultrafine particles, Street canyon, Traffic emissions
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5796653
- MLA
- Reggente, Matteo, et al. “Prediction of Ultrafine Particle Number Concentrations in Urban Environments by Means of Gaussian Process Regression Based on Measurements of Oxides of Nitrogen.” ENVIRONMENTAL MODELLING & SOFTWARE, vol. 61, 2014, pp. 135–50, doi:10.1016/j.envsoft.2014.07.012.
- APA
- Reggente, M., Peters, J., Theunis, J., Van Poppel, M., Rademaker, M., Kumar, P., & De Baets, B. (2014). Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen. ENVIRONMENTAL MODELLING & SOFTWARE, 61, 135–150. https://doi.org/10.1016/j.envsoft.2014.07.012
- Chicago author-date
- Reggente, Matteo, Jan Peters, Jan Theunis, Martine Van Poppel, Michaël Rademaker, Prashant Kumar, and Bernard De Baets. 2014. “Prediction of Ultrafine Particle Number Concentrations in Urban Environments by Means of Gaussian Process Regression Based on Measurements of Oxides of Nitrogen.” ENVIRONMENTAL MODELLING & SOFTWARE 61: 135–50. https://doi.org/10.1016/j.envsoft.2014.07.012.
- Chicago author-date (all authors)
- Reggente, Matteo, Jan Peters, Jan Theunis, Martine Van Poppel, Michaël Rademaker, Prashant Kumar, and Bernard De Baets. 2014. “Prediction of Ultrafine Particle Number Concentrations in Urban Environments by Means of Gaussian Process Regression Based on Measurements of Oxides of Nitrogen.” ENVIRONMENTAL MODELLING & SOFTWARE 61: 135–150. doi:10.1016/j.envsoft.2014.07.012.
- Vancouver
- 1.Reggente M, Peters J, Theunis J, Van Poppel M, Rademaker M, Kumar P, et al. Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen. ENVIRONMENTAL MODELLING & SOFTWARE. 2014;61:135–50.
- IEEE
- [1]M. Reggente et al., “Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen,” ENVIRONMENTAL MODELLING & SOFTWARE, vol. 61, pp. 135–150, 2014.
@article{5796653,
author = {{Reggente, Matteo and Peters, Jan and Theunis, Jan and Van Poppel, Martine and Rademaker, Michaël and Kumar, Prashant and De Baets, Bernard}},
issn = {{1364-8152}},
journal = {{ENVIRONMENTAL MODELLING & SOFTWARE}},
keywords = {{ROAD,LOS-ANGELES,NANOPARTICLES,STREET CANYON,SUBMICROMETER PARTICLES,EMISSION FACTORS,SIZE DISTRIBUTION,Gaussian process regression,Urban air pollution,MAJOR HIGHWAY,AIR-QUALITY,VEHICLE EMISSIONS,Number distributions,Ultrafine particles,Street canyon,Traffic emissions}},
language = {{eng}},
pages = {{135--150}},
title = {{Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen}},
url = {{http://doi.org/10.1016/j.envsoft.2014.07.012}},
volume = {{61}},
year = {{2014}},
}
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