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Evaluation of the Dynamic Tube Method for Measuring Ammonia Emissions after Liquid Manure Application

Author

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  • Martin ten Huf

    (Faculty of Agricultural Sciences and Landscape Architecture, University of Applied Sciences Osnabrück, 49090 Osnabrück, Germany)

  • Hans-Werner Olfs

    (Faculty of Agricultural Sciences and Landscape Architecture, University of Applied Sciences Osnabrück, 49090 Osnabrück, Germany)

Abstract

Easy and inexpensive methods for measuring ammonia emissions in multi-plot field trials allow the comparison of several treatments with liquid manure application. One approach that might be suitable under these conditions is the dynamic tube method (DTM). Applying the DTM, a mobile chamber system is placed on the soil surface, and the air volume within is exchanged at a constant rate for approx. 90 s. with an automated pump. This procedure is assumed to achieve an equilibrium ammonia concentration within the system. Subsequently, a measurement is performed using an ammonia-sensitive detector tube. Ammonia fluxes are calculated based on an empirical model that also takes into account the background ammonia concentration measured on unfertilized control plots. Between measurements on different plots, the chamber system is flushed with ambient air and cleaned with paper towels to minimize contamination with ammonia. The aim of this study was to determine important prerequisites and boundary conditions for the application of the DTM. We conducted a laboratory experiment to test if the ammonia concentration remains stable while performing a measurement. Furthermore, we investigated the cleaning procedure and the effect of potential ammonia carryover on cumulated emissions under field conditions following liquid manure application. The laboratory experiment indicated that the premeasurement phase to ensure a constant ammonia concentration is not sufficient. The concentration only stabilized after performing more than 100 pump strokes, with 20 pump strokes (lasting approximately 90 s) being the recommendation. However, the duration of performing a measurement can vary substantially, and linear conversion accounts for those differences, so a stable concentration is mandatory. Further experiments showed that the cleaning procedure is not sufficient under field conditions. Thirty minutes after performing measurements on high emitting plots, which resulted in an ammonia concentration of approx. 10 ppm in the chamber, we detected a residual concentration of 2 ppm. This contamination may affect measurements on plots with liquid manure application as well as on untreated control plots. In a field experiment with trailing hose application of liquid manure, we subsequently demonstrated that the calculation of cumulative ammonia emissions can vary by a factor of three, depending on the degree of chamber system contamination when measuring control plots. When the ammonia background values were determined by an uncontaminated chamber system that was used to measure only control plots, cumulative ammonia emissions were approximately 9 kg NH 3 -N ha −1 . However, when ammonia background values were determined using the contaminated chamber system that was also used to measure on plots with liquid manure application, the calculation of cumulative ammonia losses indicated approximately 3 kg NH 3 -N ha −1 . Based on these results, it can be concluded that a new empirical DTM calibration is needed for multi-plot field experiments with high-emitting treatments.

Suggested Citation

  • Martin ten Huf & Hans-Werner Olfs, 2023. "Evaluation of the Dynamic Tube Method for Measuring Ammonia Emissions after Liquid Manure Application," Agriculture, MDPI, vol. 13(6), pages 1-12, June.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:6:p:1217-:d:1166966
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    References listed on IDEAS

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    2. Christian Wagner & Tavs Nyord & Annette Vibeke Vestergaard & Sasha Daniel Hafner & Andreas Siegfried Pacholski, 2021. "Acidification Effects on In Situ Ammonia Emissions and Cereal Yields Depending on Slurry Type and Application Method," Agriculture, MDPI, vol. 11(11), pages 1-20, October.
    3. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
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    Cited by:

    1. Pankaj Kumar & Vinod Kumar, 2024. "Preface to the Special Issue “Agricultural Environmental Pollution, Risk Assessment, and Control”," Agriculture, MDPI, vol. 14(1), pages 1-3, January.

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