Daniel S. Cohan, Ph.D.

Affiliations: 
2004 Georgia Institute of Technology, Atlanta, GA 
Area:
Atmospheric Science Physics, Environmental Engineering
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Cross-listing: Envirotree

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Armistead G. Russell grad student 2004 Georgia Tech
 (Photochemical formation and cost-efficient abatement of ozone: High order sensitivity analysis.)
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Publications

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Luo L, Ran L, Rasool QZ, et al. (2022) Integrated Modeling of U.S. Agricultural Soil Emissions of Reactive Nitrogen and Associated Impacts on Air Pollution, Health, and Climate. Environmental Science & Technology. 56: 9265-9276
Wang J, Cohan DS, Xu H. (2020) Spatiotemporal ozone pollution LUR models: Suitable statistical algorithms and time scales for a megacity scale Atmospheric Environment. 237: 117671
Rasool QZ, Bash JO, Cohan DS. (2019) Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1 Geoscientific Model Development. 12: 849-878
Strasert B, Teh SC, Cohan DS. (2018) Air quality and health benefits from potential coal power plant closures in Texas. Journal of the Air & Waste Management Association (1995)
Sanchez NP, Zheng C, Ye W, et al. (2018) Exploratory study of atmospheric methane enhancements derived from natural gas use in the Houston urban area Atmospheric Environment. 176: 261-273
Zhang R, White AT, Pour Biazar A, et al. (2018) Incorporating GOES Satellite Photosynthetically Active Radiation (PAR) Retrievals to Improve Biogenic Emission Estimates in Texas Journal of Geophysical Research: Atmospheres. 123: 1309-1324
Pourhashem G, Rasool QZ, Zhang R, et al. (2017) Valuing the air quality effects of biochar reductions on soil NO emissions. Environmental Science & Technology
Sengupta S, Cohan DS. (2017) Fuel cycle emissions and life cycle costs of alternative fuel vehicle policy options for the City of Houston municipal fleet Transportation Research Part D: Transport and Environment. 54: 160-171
Zhang R, Cohan A, Pour Biazar A, et al. (2017) Source apportionment of biogenic contributions to ozone formation over the United States Atmospheric Environment. 164: 8-19
Tao Z, Kokas A, Zhang R, et al. (2016) Inferring Atmospheric Particulate Matter Concentrations from Chinese Social Media Data. Plos One. 11: e0161389
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