Eliminating air pollution disparities in the U.S. and beyond is becoming increasingly complex due to the convergence of the national average PM<sub>2.5</sub> concentration towards the annual standard despite persistent inequities in exposures across underserved populations. This march toward national compliance provides a sense of strong accomplishment, however, close attention should be paid to regions where secondary particle and ozone pollution is impacted by the rapidly evolving e-commerce industry. The Southern California region is particularly susceptible to adverse environmental impacts due to e-commerce and the propensity for secondary pollution formation made viable by the region’s unique meteorology and topography. Here I discuss three modeling and monitoring efforts that lie at the intersection of e-commerce, air pollution, and environmental justice in Southern California. Low-cost monitoring aids in identifying regional vs. local impacts of traffic-related pollution. Personal monitoring resolves space-time variabilities of individual PM<sub>2.5</sub> exposures for community members who are most negatively impacted by the convergence of poor regional air quality with the expansion of e-commerce activity near their homes. Regional modeling using chemical transport modeling and machine learning provides context for how climate change will exacerbate the aforementioned effects. I will conclude by recommending  policy-relevant solutions that place consideration and priority on vulnerable populations and ecological preservation.

Solutions for tomorrow: Interdisciplinary applications of atmospheric chemistry

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ACS Spring 2023

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