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Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen

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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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Chicago
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.
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.
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.
MLA
Reggente, Matteo, Jan Peters, Jan Theunis, 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 61 (2014): 135–150. Print.
@article{5796653,
  author       = {Reggente, Matteo and Peters, Jan and Theunis, Jan and Van Poppel, Martine and Rademaker, Micha{\"e}l and Kumar, Prashant and De Baets, Bernard},
  issn         = {1364-8152},
  journal      = {ENVIRONMENTAL MODELLING \& SOFTWARE},
  keyword      = {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://dx.doi.org/10.1016/j.envsoft.2014.07.012},
  volume       = {61},
  year         = {2014},
}

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