A21A-0004
Understanding Particulate Matter Dynamics in the San Joaquin Valley during DISCOVER-AQ, 2013
Tuesday, 15 December 2015
Poster Hall (Moscone South)
Gouri Prabhakar1, Xiaolu Zhang2, Hwajin Kim3, Caroline Parworth2, Sally E Pusede4, Paul J Wooldridge5, Ronald C Cohen6, Qi Zhang2, Christopher D Cappa1 and The LARGE Instrument Team, (1)University of California Davis, Civil and Environmental Engineering, Davis, CA, United States, (2)University of California Davis, Davis, CA, United States, (3)KIST, Seoul, South Korea, (4)ORAU / NASA Langley Research Center, Hampton, VA, United States, (5)UC Berkeley, Berkeley, CA, United States, (6)University of California Berkeley, Berkeley, CA, United States
Abstract:
Air quality in the California San Joaquin Valley (SJV) during winter continues to be the worst in the state, failing EPA’s 24-hour standard for particulate matter. Despite our improved understanding of the sources of particulate matter (PM) in the valley, air-quality models are unable to predict PM concentrations accurately. We aim to characterize periods of high particulate matter concentrations in the San Joaquin Valley based on ground and airborne measurements of aerosols and gaseous pollutants, during the DISCOVER-AQ campaign, 2013. A highly instrumented aircraft flew across the SJV making three transects in a repeatable pattern, with vertical spirals over select locations. The aircraft measurements were complemented by ground measurements at these locations, with extensive chemically-speciated measurements at a ground “supersite” at Fresno. Hence, the campaign provided a comprehensive three-dimensional view of the particulate and gaseous pollutants around the valley. The vertical profiles over the different sites indicate significant variability in the concentrations and vertical distribution of PM around the valley, which are most likely driven by differences in the combined effects of emissions, chemistry and boundary layer dynamics at each site. The observations suggest that nighttime PM is dominated by surface emissions of PM from residential fuel combustion, while early morning PM is strongly influenced by mixing of low-level, above-surface, nitrate-rich layers formed from dark chemistry overnight to the surface.
