Articles | Volume 14, issue 11
https://doi.org/10.5194/acp-14-5709-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-5709-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
10 Jun 2014
Research article | Highlight paper |
| 10 Jun 2014
Global emission projections for the transportation sector using dynamic technology modeling
Decision and Information Sciences Division, Argonne National Laboratory, Argonne, IL 60439, USA
Computation Institute, University of Chicago, Chicago, IL 60637, USA
E. Winijkul
Decision and Information Sciences Division, Argonne National Laboratory, Argonne, IL 60439, USA
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
D. G. Streets
Decision and Information Sciences Division, Argonne National Laboratory, Argonne, IL 60439, USA
Computation Institute, University of Chicago, Chicago, IL 60637, USA
Z. Lu
Decision and Information Sciences Division, Argonne National Laboratory, Argonne, IL 60439, USA
Computation Institute, University of Chicago, Chicago, IL 60637, USA
T. C. Bond
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Y. Zhang
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
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- A space‐based, high‐resolution view of notable changes in urban NOx pollution around the world (2005–2014) B. Duncan et al. 10.1002/2015JD024121
- Comparison of source apportionment of PM 2.5 using receptor models in the main hub port city of East Asia: Busan J. Jeong et al. 10.1016/j.atmosenv.2016.10.055
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- Effectiveness of Mitigation Measures in Reducing Future Primary Particulate Matter Emissions from On-Road Vehicle Exhaust F. Yan et al. 10.1021/es503197f
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- Global anthropogenic emissions of particulate matter including black carbon Z. Klimont et al. 10.5194/acp-17-8681-2017
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- Modeling Airline Cost Pass-Through within Regional Aviation Markets B. Wang et al. 10.1177/0361198118792337
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