Biography

Yaoxian Huang is an atmospheric chemist and his research group typically employs state-of-the-art 3-dimensional global chemistry-climate models to quantify impacts of anthropogenic emissions (e.g., air pollutions) on regional and global air quality, climate change and public health, in conjunction with in-situ, aircraft and satellite observations. Yaoxian Huang received his PhD in Environmental Engineering from Michigan Technological University in December 2014. Before joining Wayne State University as an Assistant Professor in Environmental Engineering, Yaoxian Huang was trained at the University of Michigan (2017-2019), Yale University (2016-2017) and NOAA (2015-2016) respectively as a postdoctoral research fellow.

Courses Taught

• CE 4210 Introduction to Environmental Engineering
• CE 5240/7240 (Advanced) Air Pollution Engineering
• CE 6160/7160 (Advanced) Principles of Atmospheric Chemistry and Applications 
• CE 7270 Big Data Applications in Environmental Engineering

Publications

• Xiong, Y., K. Du and Y. Huang, One-third of global population at cancer risk due to elevated volatile organic compounds levels, npj Climate and Atmospheric Science, 7(54), doi:10.1038/s41612-024-00598-1, 2024. 
• Xiong, Y., J. Chai, H. Mao, N. Mariscal, T. I. Yacovitch, B. Lerner, F. Majluf, M. Canagaratna, E. P. Olaguer, and Y. Huang, Examining the summertime ozone formation regime in southeast Michigan using MOOSE ground-based HCHO/NO2 measurements and F0AM box model, J. Geophys. Res. Atmos., 128(19), doi:10.1029/2023JD038943, 2023.
• Xiong, Y., D. B. Partha, N. Prime, S. Smith, N. Mariscal, H. Salah, and Y. Huang, Long-term trends of impacts of global gasoline and diesel emissions on ambient PM2.5 and O3 pollution and the related health burden for 2000-2015, Environ. Res. Lett., 17(10), 104042, doi:10.1088/1748-9326/ac9422, 2022.
• Xiong, Y., Y. Huang, and K. Du, Health risk-oriented source apportionment of hazardous volatile organic compounds in eight Canadian cities and implications for prioritizing mitigation strategies, Environ. Sci. Technol., 56(17), 12077-12085, doi:10.1021/acs.est.2c02558, 2022.
• Partha, D. B., A. E. Cassidy-Bushrow, and Y. Huang, Global preterm births attributable to BTEX (benzene, toluene, ethylbenzene and xylene) exposure, Sci. Total Environ., 838, doi:10.1016/j.scitotenv.2022.156390, 2022.
• Zundel, C. G., P. Ryan, C. Brokamp, A. Heeter, Y. Huang, J. R. Strawn, and H. A. Marusak, Air pollution, depressive and anxiety disorders, and brain effects: a systematic review, NeuroToxicology, 93, 272-300, doi:10.1016/j.neuro.2022.10.011, 2022.
• O’Leary, B. F., A. B. Hill, K. G. Akers, H. J. Esparra-Escalera, A. Lucas, G. Raoufi, Y. Huang, N. Mariscal, S. K. Mohanty, C. M. Tummala, and T. M. Dittrich, Air quality monitoring and measurement in an urban airshed: contextualizing datasets from the Detroit Michigan area from 1952-2020, Sci. Total Environ., 809, doi:10.1016/j.scitotenv.2021.152120, 2022.
• Zundel, C. G., D. Daher, C. Brokamp, P. Ryan, Y. Huang, J. R. Strawn, and H. A. Marusak, P395. Environmental risk of psychiatric disease: a systematic review on air pollution, mental health, and frontolimbic brain regions, Biol. Psychiatry, 91(9), S247, doi:10.1016/j.biopsych.2022.02.631, 2022.
• Huang, Y., D. B. Partha, K. Harper, and C. Heyes, Impacts of global solid biofuel stove emissions on ambient air quality and human health, GeoHealth, 5(3), doi:10.1029/2020GH000362, 2021.
• Barbero, A., J. Savarino, R. Grilli, C. Blouzon, G. Picard, M. M. Frey, Y. Huang, and N. Caillon, New estimation of the NOx snow-source on the Antarctic Plateau, J. Geophys. Res. Atmos., 126, doi:10.1029/2021JD035062, 2021.
• Masoud, S., N. Mariscal, Y. Huang, and M. Zhu, A sensor-based data driven framework to investigate PM2.5 in the Greater Detroit area, IEEE Sensors Journal, 21(14), doi:10.1109/JSEN.2021.3076041, 2021.
• Huang, Y., N. Unger, K. Harper, and C. Heyes, Global climate and human health effects of the gasoline and diesel vehicle fleets, GeoHealth, 4(3), doi:10.1029/2019GH000240, 2020.
• Huang, Y., E. A. Kort, S. Gourdji, A. Karion, K. Mueller, and J. Ware, Seasonally resolved excess urban methane emissions over the Baltimore/Washington, DC metropolitan region, Environ. Sci. Technol., 53, 11285-11293, doi:10.1021/acs.est.9b02782, 2019.
• Huang, Y., N. Unger, T. Storelvmo, K. Harper, Y. Zheng, and C. Heyes, Global radiative effects of solid fuel cookstove aerosol emissions, Atmos. Chem. Phys., 18, 5219-5233, doi:10.5194/acp-18-5219-2018, 2018.
• Huang, Y., J. E. Hickman, and S. Wu, Impacts of enhanced fertilizer applications on tropospheric ozone and crop damage over sub-Saharan Africa, Atmos. Environ., 180, 117-125, doi:10.1016/j.atmosenv.2018.02.040, 2018.
• Kumar, A., S. Wu, Y. Huang, H. Liao, and J. O. Kaplan, Mercury from wildfires: global emission inventories and sensitivity to 2000-2050 global change, Atmos. Environ., 173, 6-15, doi:10.1016/j.atmosenv.2017.10.061, 2018. 
• Huang, Y., S. Wu, L. J. Kramer, D. Helmig, and R. E. Honrath, Surface ozone and its precursors at Summit, Greenland: comparison between observations and model simulations, Atmos. Chem. Phys., 17, 14661-14674, doi:10.5194/acp-17-14661-2017, 2017.
• Hickman, J. E., Y. Huang, S. Wu, W. Diru, P. M. Groffman, K. L. Tully, and C. A. Palm, Nonlinear response of nitric oxide fluxes to fertilizer inputs and the impacts of agricultural intensification on tropospheric ozone pollution in Kenya, Global Change Biology, 23, 3193-3204, doi:10.1111/gcb.13644, 2017. 
• Huang, Y., S. Wu, and J. O. Kaplan, Sensitivity of global wildfire occurrences to various factors in the context of global change, Atmos. Environ., 121, 86-92, doi:10.1016/j.atmosenv.2015.06.002, 2015. 
• Zhang, H., S. Wu, Y. Huang, and Y. Wang, Effects of stratospheric ozone recovery on photochemistry and ozone air quality in the troposphere, Atmos. Chem. Phys., 14, 4079-4086, doi:10.5194/acp-14-4079-2014, 2014.
• Huang, Y., S. Wu, M. K. Dubey, and N. H. F. French, Impact of aging mechanism on model simulated carbonaceous aerosols, Atmos. Chem. Phys., 13, 6329–6343, doi:10.5194/acp-13-6329-2013, 2013.

Professional Affiliations

 American Geophysical Union (2011-present)

Awards and Honors

• MTU Doctoral Finishing Fellowship, 2014
• MTU Dean’s Outstanding Award, 2014
• NSF Early Career Scientist Travel Award, 2014
• Wayne State University Research Award, 2020
• Wayne State University Funder Consultation Award, 2020
• Wayne State University Faculty Competition for Postdoctoral Fellows Award, 2021

Education

• Ph.D., Michigan Technological University, Environmental Engineering, 2014/12
• BS/MS, East China University of Science and Technology, Environmental Engineering, 2006/2009

Research Interests

Atmospheric chemistry and climate modeling; impacts of anthropogenic emissions on air quality, climate and health; aerosol-cloud-radiation interaction; impacts of climate change on air quality; greenhouse gas quantification and attribution; satellite remote sensing; big data application in science and engineering.

Laboratory Web Site

https://www.huanglabwayne.com

Courses taught by Yaoxian Huang

Fall Term 2024 (future)

• CE5240 - Air Pollution Engineering
• CE5995 - Special Topics in Civil Engineering I
• CE7240 - Advanced Air Pollution Engineering
• CE7270 - Big Data Applications in Environmental Engineering

Winter Term 2024 (current)

• CE4210 - Introduction to Environmental Engineering

Fall Term 2023

• CE5240 - Air Pollution Engineering
• CE6160 - Principles of Atmospheric Chemistry and Applications
• CE7160 - Advanced Principles of Atmospheric Chemistry and Applications
• CE7240 - Advanced Air Pollution Engineering

Winter Term 2023

• CE4210 - Introduction to Environmental Engineering
• CE5995 - Special Topics in Civil Engineering I
• CE7270 - Big Data Applications in Environmental Engineering

Fall Term 2022

• CE5240 - Air Pollution Engineering
• CE7240 - Advanced Air Pollution Engineering

Winter Term 2022

• CE5995 - Special Topics in Civil Engineering I
• CE6160 - Principles of Atmospheric Chemistry and Applications
• CE7160 - Advanced Principles of Atmospheric Chemistry and Applications
• CE7270 - Big Data Applications in Environmental Engineering

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