Amir Hakami, Ph.D.

Affiliations: 
2003 Georgia Institute of Technology, Atlanta, GA 
Area:
Environmental Engineering
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Cross-listing: Envirotree

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Armistead G. Russell grad student 2003 Georgia Tech
 (Direct sensitivity analysis in air quality models.)
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Publications

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Zheng L, Adalibieke W, Zhou F, et al. (2024) Health burden from food systems is highly unequal across income groups. Nature Food
Shen H, Shen G, Chen Y, et al. (2021) Increased air pollution exposure among the Chinese population during the national quarantine in 2020. Nature Human Behaviour
Zhao S, Russell MG, Hakami A, et al. (2020) A multiphase CMAQ version 5.0 adjoint. Geoscientific Model Development. 13: 2925-2944
Chen Y, Shen H, Kaiser J, et al. (2020) High-resolution Hybrid Inversion of IASI Ammonia Columns to Constrain U.S. Ammonia Emissions Using the CMAQ Adjoint Model Atmospheric Chemistry and Physics. 1-25
Xu JW, Martin RV, Henderson BH, et al. (2019) Simulation of airborne trace metals in fine particulate matter over North America. Atmospheric Environment (Oxford, England : 1994). 214
Russell M, Hakami A, Makar PA, et al. (2019) An evaluation of the efficacy of very high resolution air-quality modelling over the Athabasca oil sands region, Alberta, Canada Atmospheric Chemistry and Physics. 19: 4393-4417
Lyu C, Capps SL, Hakami A, et al. (2019) Elucidating emissions control strategies for ozone to protect human health and public welfare within the continental United States Environmental Research Letters. 14: 124093
Mathur R, Hogrefe C, Hakami A, et al. (2018) A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value. Environmental Science & Technology
Chatwin-Davies R, Hakami A, Oztaner BY, et al. (2018) Quantifying Impacts of Emission Reductions on Air Pollution Equity and Health Effects in New York City Isee Conference Abstracts. 2018
Pappin AJ, Mesbah SM, Hakami A, et al. (2016) Response to Comment on "Diminishing Returns or Compounding Benefits of Air Pollution Control? The Case of NO(x) and Ozone". Environmental Science & Technology. 50: 502-3
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