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. 2016 Aug 3;27(6):575–581. doi: 10.1038/jes.2016.40

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Copyright © 2017 The Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

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Comparison of model-specific NO_x predictions from three modeling scenarios; 1, dispersion modeling with additional information on global radiation, 2, land-use regression modeling including global radiation and 3, a hybrid model including dispersion modeling, global radiation and LUR components. DM, Airviro Gauss and SIMAIR road dispersion model; LUR, land-use regression model; MET, meterological variables, (global radiation); STATMON, stationary monitoring, delta urban NO_x (urban–rural).