Calculation of NH3 Emissions, Evaluation of Backward Lagrangian Stochastic Dispersion Model and Aerodynamic Gradient Method

Kamp, Jesper Nørlem; Häni, Christoph; Nyord, Tavs; Feilberg, Anders; Sørensen, Lise Lotte

doi:10.3390/atmos12010102

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Calculation of NH₃ Emissions, Evaluation of Backward Lagrangian Stochastic Dispersion Model and Aerodynamic Gradient Method

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Air Quality Engineering, Department of Biological and Chemical Engineering, Aarhus University, 8200 Aarhus N, Denmark

School of Agricultural, Forest and Food Sciences HAFL, Bern University of Applied Sciences, 3052 Zollikofen, Switzerland

Department of Environmental Science, Aarhus University, 4000 Roskilde, Denmark

Author to whom correspondence should be addressed.

Atmosphere 2021, 12(1), 102; https://doi.org/10.3390/atmos12010102

Received: 10 December 2020 / Revised: 4 January 2021 / Accepted: 6 January 2021 / Published: 12 January 2021

(This article belongs to the Section Atmospheric Techniques, Instruments, and Modeling)

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Abstract

Two campaigns measuring ammonia (NH₃) emissions with different measurement techniques were performed on a large grass field (26 ha) after the application of liquid animal manure. The aim was to compare emissions from a confined area estimated from either (i) concentration measurements, both point and line-integrated measurements, combined with backward Lagrangian stochastic (bLS) dispersion modeling or by (ii) estimation of the vertical flux by the aerodynamic gradient method (AGM) with and without footprint correction approximated by the bLS model estimates of the flux footprint. The objective of the comparison is to establish the best practice to derive NH₃ emissions from a large field. NH₃ emissions derived from bLS agreed well when comparing point and line-integrated measurements. Simple point measurements combined with bLS yield good emission estimations for the confined area. Without footprint correction, the AGM underestimates the emissions by up to 9% compared to the footprint-corrected AGM results. The sensitivity of the measurement methods makes it possible to quantify NH₃ emissions with diurnal patterns even five days after a field application of liquid animal manure under wet conditions. The bLS model proves to be a strong tool to determine the NH₃ emissions from point concentration measurements inside a large field after a slurry application. View Full-Text

Keywords: ammonia emission; backward Lagrangian stochastic model; micrometeorological techniques; differential optical absorption spectroscopy; cavity ring-down spectroscopy; grassland

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MDPI and ACS Style

Kamp, J.N.; Häni, C.; Nyord, T.; Feilberg, A.; Sørensen, L.L. Calculation of NH₃ Emissions, Evaluation of Backward Lagrangian Stochastic Dispersion Model and Aerodynamic Gradient Method. Atmosphere 2021, 12, 102. https://doi.org/10.3390/atmos12010102

AMA Style

Kamp JN, Häni C, Nyord T, Feilberg A, Sørensen LL. Calculation of NH₃ Emissions, Evaluation of Backward Lagrangian Stochastic Dispersion Model and Aerodynamic Gradient Method. Atmosphere. 2021; 12(1):102. https://doi.org/10.3390/atmos12010102

Chicago/Turabian Style

Kamp, Jesper N., Christoph Häni, Tavs Nyord, Anders Feilberg, and Lise L. Sørensen. 2021. "Calculation of NH₃ Emissions, Evaluation of Backward Lagrangian Stochastic Dispersion Model and Aerodynamic Gradient Method" Atmosphere 12, no. 1: 102. https://doi.org/10.3390/atmos12010102

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Calculation of NH₃ Emissions, Evaluation of Backward Lagrangian Stochastic Dispersion Model and Aerodynamic Gradient Method

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