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Geosci. Model Dev. Discuss., 3, 2021-2050, 2010
www.geosci-model-dev-discuss.net/3/2021/2010/
doi:10.5194/gmdd-3-2021-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.


Modeling framework for exploring emission impacts of alternative future scenarios

D. H. Loughlin1, W. G. Benjey2, and C. G. Nolte2
1US Environmental Protection Agency, National Risk Management Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA
2US Environmental Protection Agency, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA

Abstract. This article presents an approach for creating anthropogenic emission scenarios that can be used to simulate future regional air quality. The approach focuses on energy production and use since these are principal sources of air pollution. We use the MARKAL model to characterize alternative realizations of the US energy system through 2050. Emission growth factors are calculated for major energy system categories using MARKAL, while growth factors from non-energy sectors are based on economic and population projections. The SMOKE model uses these factors to grow a base-year 2002 inventory to future years through 2050. The approach is demonstrated for two emission scenarios: Scenario 1 extends current air regulations through 2050, while Scenario 2 applies a hypothetical policy that limits carbon dioxide (CO2) emissions from the energy system. Although both scenarios show significant reductions in air pollutant emissions through time, these reductions are more pronounced in Scenario 2, where the CO2 policy results in the adoption of technologies with lower emissions of both CO2 and traditional air pollutants. The methodology is expected to play an important role in investigations of linkages among emission drivers, climate and air quality by the U.S. EPA and others.

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Citation: Loughlin, D. H., Benjey, W. G., and Nolte, C. G.: Modeling framework for exploring emission impacts of alternative future scenarios, Geosci. Model Dev. Discuss., 3, 2021-2050, doi:10.5194/gmdd-3-2021-2010, 2010.   Bibtex   EndNote   Reference Manager    XML