Ammonia (NH3) emissions were measured during summer from a circular area of short pasture on a slightly acid stony sandy loam soil, treated with 156 cattle urine patches of realistic size and a nitrogen (N) content of 15gN each. Horizontal fluxes of NH3 were sampled at five heights in the centre of the treated circle. Three micrometeorological methods were used to derive the NH3 emission rate from these horizontal fluxes: the mass-budget (MB) method, the backward-Lagrangian stochastic (BLS) method, and the ZINST (height, z, independent of stability) method. Soil temperature was measured and soil samples were taken from within selected urine patches to provide pH, ammoniacal-N (NHx-N) and moisture contents as input parameters for a volatilisation model. The model describes a chain of three processes: the phase equilibrium between aqueous NHx in the soil solution and gaseous NH3 at the liquid-air interface (within the soil pores), the diffusion of gaseous NH3 in the soil layer, and the diffusion of gaseous NH3 in the atmospheric surface layer between ground and sampling height. The two diffusion processes are parameterised by resistances as functions of soil and wind flow parameters, respectively.With the MB method, 25.7 (±0.5) % of the applied urine-N was found to have volatilised as NH3 over the first 6 d. After that, the pH had dropped below 7, implying that NH3 emissions were probably insignificant. The ZINST method provided emission rate estimates that did not differ systematically from the MB method, with 50% larger random error. The BLS method underestimated the emission rate by 10 to 24% (dependent on measurement height), because of the requirement to specify mean wind speed and mean concentration as input parameters, instead of the measured mean horizontal flux.The volatilisation model was not tested in predictive mode because urine penetration depth could not be determined accurately enough. Instead, from the measured NH3 emissions and the model input parameters, the temporal evolution of the soil resistance was computed as well as an “effective source depth” associated with that. The median value of this depth was 2mm, with a typical error of a factor 2. It is concluded that the soil resistance model is physically realistic, but for accurate prediction of NH3 emission rates, the vertical distribution of NHx-N within the urine patches must be well-characterised. If this is provided, then soil sampling together with wind speed measurements will suffice to estimate NH3 emissions.
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