Monitoring Organic Nitrogen in Particulate Matter Across the US
S. Ryan Fulgham1, John T. Walker2, Nathaniel Topie3, Melissa Puchalski4, Christopher Rogers5, Marcus Stewart3, and Kevin Mishoe3
1 U.S. Environmental Protection Agency, Office of Applied Science and Environmental Solutions, Durham, NC, 2 USDA Forest Service, Southern Research Station, Otto, NC, 3 WSP USA Environment & Infrastructure Inc., Gainesville, FL, 4 U.S. Environmental Protection Agency, Office of Air and Radiation, Washington, DC, 5 WSP USA Environment & Infrastructure Inc., Jacksonville, FL
Routine monitoring of atmospheric organic nitrogen (ON) is needed to better characterize spatiotemporal patterns and their drivers as well as provide data for more accurately assessing total atmospheric N deposition. This study evaluates an extension of the Clean Air Status and Trends Network (CASTNET) methodology to quantify water soluble total N (WSTN) and ON (WSON) in particulate matter (PM). Routine samples were collected for 12 months at a subset of 25 CASTNET sites. Results demonstrate that WSON in PM can be quantified using routine monitoring techniques. CASTNET storage and handling procedures represent a small (<5%) source of uncertainty with respect to potential changes in concentrations between sample collection and analysis. Field blanks were sufficiently low that a blank correction for WSON was not required and 75% of observations were above the method detection limit. Precision of WSON derived as the median absolute difference of field duplicates was 8.9% at a site representative of network-wide observations. Mean and median % contributions of WSON to WSTN were 15.3 and 13.3, respectively. On average, NO3- contributed about twice as much to WSTN than WSON and NH4+ contributed about four times as much as WSON. WSON concentrations were highest in summer and lowest in winter. Concentrations of WSON in smoke-impacted samples were ~ 2X larger than non-impacted samples, as was the % contribution to WSTN (23.7% vs 12.8%). Establishing a method for routine monitoring of WSTN and WSON in precipitation for collocation with the method demonstrated here would rapidly advance understanding of ON deposition.