B12C-02:
NH3 Emission from Fertilizer Application: A Collaborative Study in the Midwestern U.S.

Monday, 15 December 2014: 10:35 AM
LaToya Myles1, Sotiria Koloutsou-Vakakis2, Carl Bernacchi3, Christopher Lehmann4, Rick D Saylor5, Mark Heuer6, Daryl Sibble7, Jason Anthony Caldwell7, Srinidhi Balasubramanian8, Andrew Joseph Nelson8 and Mark J Rood9, (1)NOAA Oak Ridge, Oak Ridge, TN, United States, (2)Univ of IL--Civil & Envir Engr, Urbana, IL, United States, (3)Global Change and Photosynthesis Research Unit, Agricultural Research Service, USDA, Urbana, IL, United States, (4)Illinois State Water Survey, National Atmospheric Deposition Program, Champaign, IL, United States, (5)NOAA Air Resources Laboratory, Oak Ridge, TN, United States, (6)NOAA/ATDD, Oak Ridge, TN, United States, (7)Florida Agricultural and Mechanical University, Tallahassee, FL, United States, (8)University of Illinois at Urbana Champaign, Urbana, IL, United States, (9)University of Illinois, Urbana, IL, United States
Abstract:
Atmospheric ammonia (NH3) is a precursor for secondary particulate matter and a contributor to soil acidification and eutrophication when deposited to land and surface waters. Fertilizer application is a major source of atmospheric NH3, particularly in intensive agricultural regions such as the Midwestern U.S. Quantification of NH3 emission from fertilized crops remains highly uncertain, which limits the representativeness of NH3 emissions that are used in air quality models. A collaborative study to improve understanding of NH3 emission from fertilizer application focused on [1] measurement of above-canopy NH3 fluxes from a fertilized corn field in Illinois using the relaxed eddy accumulation (REA) and flux gradient methods and in-canopy fluxes with the inverse Lagrangian dispersion analysis method, [2] estimation of NH3 emissions at the regional scale using a process-based approach with available archived independent variables, and the currently used top-down approach, in order to compare and determine differences in predicted spatial and temporal variability of NH3 emissions, and [3] performance of spatial analysis to determine spatial and temporal patterns of ammonia emissions and relate them to independent variables characteristic of land use, soil, meteorology, and agricultural management practices. NH3 flux was measured over and within a maize canopy from pre-cultivation through senescence (May-September 2014) at the University of Illinois at Urbana-Champaign (UIUC) Energy Biosciences Institute Energy Farm, and data from the field study was incorporated into models to facilitate connection of local emissions with the regional scale and to improve understanding of the processes that drive emission and deposition.