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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44 citations as recorded by crossref.
- Quantification of emission variability for off-road equipment in China based on real-world measurements K. Pang et al. 10.1007/s11783-021-1455-x
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- Isolating the modulation of mean warming and higher-order temperature changes on ozone in a changing climate over the contiguous United States J. Zhang et al. 10.1088/1748-9326/ac8695
- Particulate matter in marine diesel engines exhausts: Emissions and control strategies F. Di Natale & C. Carotenuto 10.1016/j.trd.2015.08.011
- Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part II: Air quality projections and the interplay between emissions and climate change P. Campbell et al. 10.1016/j.envpol.2018.03.016
- Emission characteristics and chemical composition of particulate matter emitted by typical non-road construction machinery Q. Zhang et al. 10.1016/j.apr.2019.12.018
- Nonlinear effect of compound extreme weather events on ozone formation over the United States Y. Gao et al. 10.1016/j.wace.2020.100285
- Characterization of Pollutant Emissions from Typical Material Handling Equipment Using a Portable Emission Measurement System K. Pang et al. 10.3390/atmos12050598
- Future ozone and oxidants change under the RCP scenarios M. Kim et al. 10.1016/j.atmosenv.2014.11.016
- 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
- Real-time chemical characterization of single ambient particles at a port city in Chinese domestic emission control area — Impacts of ship emissions on urban air quality L. Zhou et al. 10.1016/j.scitotenv.2022.153117
- Trading off Aircraft Fuel Burn and NOx Emissions for Optimal Climate Policy S. Freeman et al. 10.1021/acs.est.7b05719
- Disentangling the mechanism of temperature and water vapor modulation on ozone under a warming climate J. Zhang et al. 10.1088/1748-9326/aca3bc
- Russia's black carbon emissions: focus on diesel sources N. Kholod et al. 10.5194/acp-16-11267-2016
- Impact of Projected Emission and Climate Changes on Air Quality in the U.S.: from National to State Level Y. Zhang et al. 10.1016/j.procs.2017.06.074
- Effectiveness of Mitigation Measures in Reducing Future Primary Particulate Matter Emissions from On-Road Vehicle Exhaust F. Yan et al. 10.1021/es503197f
- On-site reduction of nitrogen oxides at an emission hotspot using actively vented photocatalytic reactors in a highway tunnel C. Ehm et al. 10.1007/s42452-022-05035-7
- Speciation of organic aerosols in the Saharan Air Layer and in the free troposphere westerlies M. García et al. 10.5194/acp-17-8939-2017
- Size-resolved global emission inventory of primary particulate matter from energy-related combustion sources E. Winijkul et al. 10.1016/j.atmosenv.2015.02.037
- Global anthropogenic emissions of particulate matter including black carbon Z. Klimont et al. 10.5194/acp-17-8681-2017
- Securing Platinum-Group Metals for Transport Low-Carbon Transition H. Hao et al. 10.1016/j.oneear.2019.08.012
- Modeling Airline Cost Pass-Through within Regional Aviation Markets B. Wang et al. 10.1177/0361198118792337
- Joint measurements of black carbon and particle mass for heavy-duty diesel vehicles using a portable emission measurement system X. Zheng et al. 10.1016/j.atmosenv.2016.07.013
- A WRF-Chem model-based future vehicle emission control policy simulation and assessment for the Beijing-Tianjin-Hebei region, China Q. Zhang et al. 10.1016/j.jenvman.2019.109751
- Region-wise and state-wise synthesis of vehicular emissions in India and their mitigation due to vehicular emissions standards S. Lakshmanan et al. 10.1016/j.scitotenv.2023.165838
- Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: Projected emissions, simulation design, and model evaluation P. Campbell et al. 10.1016/j.envpol.2018.04.020
- Emission inventory and control policy for non-road construction machinery in Tianjin Q. Zhang et al. 10.1007/s11356-021-16218-x
- Emissions of air pollutants from non-road construction machinery in Beijing from 2015 to 2019 X. Li et al. 10.1016/j.envpol.2022.120729
- Effectiveness of India’s Bharat Stage mitigation measures in reducing vehicular emissions M. Gajbhiye et al. 10.1016/j.trd.2022.103603
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- Emission Projections for Long-Haul Freight Trucks and Rail in the United States through 2050 L. Liu et al. 10.1021/acs.est.5b01187
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