2 Ozone in the Eastern United States: Production Efficiency Variability …
15
ANSWER: EGU OPE’s are higher than mobile sources primarily because they are
emitted in areas with lower NO X concentrations and higher VOC concentrations.
Lower NO X concentrations lead to slower conversion of NO X to NO Z , and higher
VOC concentrations mean faster cycling of each NO X molecule between NO and
NO 2 .
Acknowledgements This material is based upon work supported by Health Effects Institute and
the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1148903.
Lucas Henneman’s travel to the 36th ITM was supported by Atmosphere Journal’s (ISSN 20734433) 2018 Travel Award for Young Investigators.
References
1. H. Simon, A. Reff, B. Wells, J. Xing, N. Frank, Ozone trends across the United States over a
period of decreasing NOx and VOC emissions. Environ. Sci. Technol. 49(1), 186–195 (2014)
2. D. Byun, K.L. Schere, Review of the governing equations, computational algorithms, and other
components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system.
Appl. Mech. Rev. 59(2), 51 (2006)
3. L.R. Henneman, C. Liu, Y. Hu, J.A. Mulholland, A.G. Russell, Air quality modeling for accountability research: operational, dynamic, and diagnostic evaluation. Atmos. Environ. 2017(166),
551–565 (2017)
4. L. R. Henneman, H. H. Chang, D. Lavoue, J. A. Mulholland, A. G. Russell, Accountability assessment of regulatory impacts on ozone and PM2.5 concentrations using statistical and
deterministic pollutant sensitivities. Air Qual. Atmos. Heal. 10(6), 695–711 (2017)
5. L. Henneman, C. Liu, H. Shen, Y. Hu, J. A. Mulholland, A. G. Russell, responses in ozone
and its production efficiency attributable to recent and future emissions changes in the Eastern
United States. Environ. Sci. Technol. (2017). acs.est.7b04109
15
ANSWER: EGU OPE’s are higher than mobile sources primarily because they are
emitted in areas with lower NO X concentrations and higher VOC concentrations.
Lower NO X concentrations lead to slower conversion of NO X to NO Z , and higher
VOC concentrations mean faster cycling of each NO X molecule between NO and
NO 2 .
Acknowledgements This material is based upon work supported by Health Effects Institute and
the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1148903.
Lucas Henneman’s travel to the 36th ITM was supported by Atmosphere Journal’s (ISSN 20734433) 2018 Travel Award for Young Investigators.
References
1. H. Simon, A. Reff, B. Wells, J. Xing, N. Frank, Ozone trends across the United States over a
period of decreasing NOx and VOC emissions. Environ. Sci. Technol. 49(1), 186–195 (2014)
2. D. Byun, K.L. Schere, Review of the governing equations, computational algorithms, and other
components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system.
Appl. Mech. Rev. 59(2), 51 (2006)
3. L.R. Henneman, C. Liu, Y. Hu, J.A. Mulholland, A.G. Russell, Air quality modeling for accountability research: operational, dynamic, and diagnostic evaluation. Atmos. Environ. 2017(166),
551–565 (2017)
4. L. R. Henneman, H. H. Chang, D. Lavoue, J. A. Mulholland, A. G. Russell, Accountability assessment of regulatory impacts on ozone and PM2.5 concentrations using statistical and
deterministic pollutant sensitivities. Air Qual. Atmos. Heal. 10(6), 695–711 (2017)
5. L. Henneman, C. Liu, H. Shen, Y. Hu, J. A. Mulholland, A. G. Russell, responses in ozone
and its production efficiency attributable to recent and future emissions changes in the Eastern
United States. Environ. Sci. Technol. (2017). acs.est.7b04109