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Nitrate Artifacts during PM25 Sampling in the South Coast Air Basin of California
Authors:Bong Mann Kim  Julia Lester  Laki Tisopulos  Melvin D Zeldin
Institution:1. South Coast Air Quality Management District, Planning and Policy , Diamond Bar , California , USA bkim@aqmd.gov;3. South Coast Air Quality Management District, Planning and Policy , Diamond Bar , California , USA
Abstract:ABSTRACT

In February 1993, the South Coast Air Basin (SCAB) was redesignated as a “serious” nonattainment area for PM10. To improve the understanding and characterization of fine particulate matter in the SCAB, the South Coast Air Quality Management District (SCAQMD) initiated a comprehensive PM10 Technical Enhancement Program (PTEP). Using enhanced PTEP monitors (specially designed multichannel/multifilter samplers), a one-year fine particulate matter (PM) monitoring program was initiated in January 1995. As part of the special monitoring program, nitric acid, ammonia, and speciated PM10 and PM2.5 concentrations were measured at five locations in the SCAB (downtown Los Angeles, Anaheim, Diamond Bar, Fontana, and Rubidoux) and at one background station (San Nicolas Island). The PM2.5 data are the first spatially resolved speciated data collected in the SCAB on an annual basis. Within the SCAB, where nitrate is a major component of PM2.5, nitrate losses have been documented. The spatial and temporal variations of the nitrate losses during PM2.5 sampling and the uncertainties of the nitrate losses are discussed. Significant losses occur at a low mass range, between 10 and 50 ìg/m3. Significant gains occur at an even lower mass range of less than 30 ìg/m3. On an annual average basis, nitrate losses vary between 1.25 and 2.32 ìg/m3 and the SCAB-wide average value of nitrate loss is 1.8 ìg/m3 based on five PTEP stations in the SCAB. The maximum nitrate losses for each station vary from 6.4 ìg/m3 to 22.5 ìg/m 3. Theoretical prediction of the sampling efficiency of the nitrate during PM2.5 sam - pling was compared with the PTEP data. In general, theoretical prediction was in good agreement with measured values.
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