Preprints
https://doi.org/10.5194/egusphere-2026-1836
https://doi.org/10.5194/egusphere-2026-1836
04 Jun 2026
 | 04 Jun 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Measurement report: Long-Term Mapping of Ammonia Near Swedish Livestock Farms Reveals Key Local Drivers of Concentration Patterns

Sofie Hellsten, Sofie Petersson, Maddalena Tigli, Audric Vigier, Cristina Martin Hernandez, Åsa Hedmark, William J. Bealey, and Ågot K. Watne

Abstract. Ammonia (NH₃) emissions from agriculture contribute significantly to air pollution and nitrogen deposition, with implications for human health and sensitive ecosystems. However, long-term field observations comparing NH₃ concentration patterns among different livestock production systems in northern Europe remain limited. This study aimed to quantify temporal and spatial variations in NH₃ concentrations around pig, poultry, and dairy farms and identify the influence of temperature, management practices, and distance from emission sources.

Monthly average concentrations were recorded from June 2023 to May 2024 across nine spatially distributed sampling locations around each farm. Annual mean NH₃ concentrations ranged from 1.8–17.0, 5.2–22.5, and 4.0–23.7 µg m⁻³ at the poultry, pig, and dairy farms, respectively. These levels were consistently above nearby background concentrations of 0.44–0.45 µg m⁻³ and exceeded the 1 µg m⁻³ critical level for lichens and mosses at all sites.

Concentrations decreased with distance from livestock housing and were positively correlated with ambient temperature at all three farms. The pig and dairy farms showed greater temporal variability than the poultry farm, mainly reflecting manure handling, housing conditions, and other management activities. An April peak at the pig farm was likely related to slurry spreading. These findings show that both continuous housing emissions and episodic manure application elevate NH₃ concentrations near farms. The findings provide a robust observational basis for refining agricultural NH₃ emission inventories and supporting mitigation efforts under national and European air quality and environmental policies.

Competing interests: The authors declare that they have no known financial or personal relationships that could have appeared to influence the work reported in this paper. The development and evaluation of SCAIL Sweden were conducted as part of publicly funded research. Although the tool is intended to support environmental permitting and may be used by regulatory authorities and consultants, the authors have no commercial interests associated with its application. The funders had no role in study design, data collection, analysis, interpretation, or manuscript preparation.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Sofie Hellsten, Sofie Petersson, Maddalena Tigli, Audric Vigier, Cristina Martin Hernandez, Åsa Hedmark, William J. Bealey, and Ågot K. Watne

Status: open (until 16 Jul 2026)

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Sofie Hellsten, Sofie Petersson, Maddalena Tigli, Audric Vigier, Cristina Martin Hernandez, Åsa Hedmark, William J. Bealey, and Ågot K. Watne

Data sets

One year measurements of ammonia levels at three Swedish farms Å. Watne et al. https://doi.org/10.5281/zenodo.19495370

Sofie Hellsten, Sofie Petersson, Maddalena Tigli, Audric Vigier, Cristina Martin Hernandez, Åsa Hedmark, William J. Bealey, and Ågot K. Watne
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Latest update: 04 Jun 2026
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Short summary
We measured ammonia in the air around three livestock farms in Sweden over one year to better understand how pollution spreads near its source. We found that levels drop quickly with distance but vary with temperature and farm activities such as manure spreading. These results show that local impacts can be stronger and more variable than often assumed, helping improve how air pollution from farming is assessed, regulated, and managed.
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