Research & Initiatives
AQMEL research efforts include 4-D regional air pollution model development and applications, source apportionment, low-cost monitoring, personal exposure assessment, resilience planning, and environmental disparities mitigation. We welcome correspondence regarding potential collaborations, funding opportunities, or constructive feedback.
Thrust 1: Human Interactions and Air Quality Disparities
Air pollution and air quality is does not impact all populations equally, and the disproportionate impacts are driven by political, economic, and social forces. We explore air pollution exposure disparities through the lenses of individual mobility [2], science communication, socioeconomics [3], historical political structures [4], and research equity [1].
[3] Sasser, et al., JESEE, 2021
Contributors: Riverside City College, University of California, Riverside, University of Central Florida
Sponsors: California Air Resources Board, Center for Social Innovation, Environmental Protection Agency, Social Science Research Council
Thrust 2: Air Quality and Meteorology
Air pollutant formation and persistence is highly influenced by anthropogenic emissions, as well as meteorological conditions. We investigate the impact of extreme meteorology on air quality in U.S. metropolitan areas that are susceptible to weather-exacerbated air pollution episodes [5-10].
[5] Do et al., ESATMOS, 2023
[6] Gao et al., Chemosphere, 2023
[8] Gao et al., Env Poll, 2022
[9] Ivey et al., ChemRxiv, 2020
[10] Ivey et al., Atm Env, 2019
Contributors: Envair, Georgia Institute of Technology, University of Utah
Sponsors: National Institute of Environmental Health Sciences, South Coast Air Quality Management District
Thrust 3: Sustainable Mobility and Air Quality
As part of multiple synergistic activities with transportation and mobility experts, we leverage state-of-the-science traffic metrics to detrend and analyze ambient air pollution drivers. This research is critical for future human and goods movement planning for highly populated urban centers [11].
[11] Tanvir et al., 2023
Contributors: Cal Poly San Luis Obispo, Center for Environmental Research and Technology
Sponsors: National Center for Sustainable Transportation, University of California Institute of Transportation Studies
Thrust 4: Computational Methods
As part of our fundamental modeling research, we explore the power of advanced computational methods and predictive algorithms [5] to improve the speed and accuracy of large-scale air pollution predictions.
Contributors: University of California, Riverside; George Delic, Hiperism Consulting
Sponsors: South Coast Air Quality Management District, National Science Foundation
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