Ammonia emissions from a dairy housing and a wastewater treatment plant quantified with an inverse dispersion method accounting for deposition loss

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1080/10962247.2023.2271426. This is version 2 of this Preprint.

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Authors

Alex Valach 

Abstract

Ammonia (NH3) emissions negatively impact air, soil, and water quality, hence human health and biodiversity. Significant emissions, including the largest sources, originate from single or multiple structures, such as livestock facilities and wastewater treatment plants (WWTPs). The inverse dispersion method (IDM) is effective in measuring total emissions from such sources, although depositional loss between the source and point of measurement is often not accounted for. We applied IDM with a deposition correction to determine total emissions from a representative dairy housing and WWTP during several months in autumn and winter in Switzerland. Total emissions were 1.19 ± 0.48 and 2.27 ± 1.53 kg NH3 d-1 for the dairy housing and WWTP, respectively, which compared well with literature values, despite the paucity of WWTPs data. A concurrent comparison with an inhouse tracer ratio method at the dairy housing indicated an offset of the IDM emissions by <20%. Diurnal emission patterns were evident at both sites mostly driven by changes in air temperature with potential lag effects such as following sludge agitation. Modelled deposition corrections to adjust the concentration loss detected at the measurement point with the associated footprint were 22-28% of the total emissions and the cumulative fraction of deposition to emission modelled with distance from the source was between 7-12% for the measurement distances (60-150 m). Although estimates of depositional loss were plausible, the approach is still connected with substantial uncertainty, which calls for future validation measurements. Longer measurement periods encompassing more management activities and environmental conditions are required to assess predictor variable importance on emission dynamics. Combined, IDM with deposition correction will allow the determination of emission factors at reduced efforts and costs, thereby supporting the development and assessment of emission reducing methods and expand the data availability for emission inventories.

DOI

https://doi.org/10.31223/X5436Z

Subjects

Agriculture, Atmospheric Sciences, Environmental Engineering

Keywords

Ammonia emissions, inverse dispersion method, backward Lagrangian stochastic model, miniDOAS, wastewater treatment, cattle housing

Dates

Published: 2023-04-17 08:33

Last Updated: 2023-10-20 14:08

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License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
The final published data will be available on Zenodo/GitHub