Measuring and Modeling Atmospheric Ammonia from Agricultural Sources at a Landscape Scale

Souhar, Otmane; Fauvel, Yannick; Fléchard, Chris

doi:10.1089/ees.2021.0371

Cited by 2 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These trends are consistent with other studies that found elevated concentrations of NH 3 in locations downwind of livestock production facilities [6,43]. Souhar et al [44] reported ambient NH 3 concentrations that varied between 2 and 105 µg m −3 across a landscape in Bretagne (France) that had a range of agricultural and livestock production intensities. Gradients of NH 3 concentrations downwind of a swine production facility ranged from 169 µg m −3 near the facility edge down to 13.0 µg m −3 698 m downwind due to both dispersion and deposition of NH 3 to the landscape [45].…”

Section: Ambient Ammonia Concentrationssupporting

confidence: 90%

Spatial Distribution of Ammonia Concentrations and Modeled Dry Deposition in an Intensive Dairy Production Region

Leytem,

Walker,

et al. 2023

Atmosphere

View full text Add to dashboard Cite

Agriculture generates ~83% of total US ammonia (NH3) emissions, potentially adversely impacting sensitive ecosystems through wet and dry deposition. Regions with intense livestock production, such as the dairy region of south-central Idaho, generate hotspots of NH3 emissions. Our objective was to measure the spatial and temporal variability of NH3 across this region and estimate its dry deposition. Ambient NH3 was measured using diffusive passive samplers at 8 sites in two transects across the region from 2018–2020. NH3 fluxes were estimated using the Surface Tiled Aerosol and Gaseous Exchange (STAGE) model. Peak NH3 concentrations were 4–5 times greater at a high-density dairy site compared to mixed agriculture/dairy or agricultural sites, and 26 times greater than non-agricultural sites with prominent seasonal trends driven by temperature. Annual estimated dry deposition rates in areas of intensive dairy production can approach 45 kg N ha−1 y−1, compared to <1 kg N ha−1 y−1 in natural landscapes. Our results suggest that the natural sagebrush steppe landscapes interspersed within and surrounding agricultural areas in southern Idaho receive NH3 dry deposition rates within and above the range of nitrogen critical loads for North American deserts. Finally, our results highlight a need for improved understanding of the role of soil processes in NH3 dry deposition to arid and sparsely vegetated natural ecosystems across the western US.

show abstract

Section: Ambient Ammonia Concentrationssupporting

confidence: 90%

Spatial Distribution of Ammonia Concentrations and Modeled Dry Deposition in an Intensive Dairy Production Region

Leytem,

Walker,

et al. 2023

Atmosphere

View full text Add to dashboard Cite

show abstract

“…Geometric mean bias (MG) and geometric variance (VG) are logarithmic indicators that are more flexible to data variations; furthermore, these parameters ensure that data sets are balanced, as they are utilized in Equations () and () 19,36 . MG measures mean relative bias indicates only systematic errors that result in overestimation (MG >1) or underestimation (MG <1) 37,38

MG = \exp (\overset{true¯}{\ln C_{o}} - \overset{true¯}{\ln C_{p}}) = \exp (\overset{\ln ((), \frac{C_{o}}{C_{p}})}{true}),

VG = \exp [\overset{{((), \ln C_{o} goodbreak- \ln C_{p})}^{2}}{true}] = \exp [\overset{{((), \ln ((), \frac{C_{o}}{C_{p}}))}^{2}}{true}]

…”

Section: Methodsmentioning

confidence: 99%

“…19,36 MG measures mean relative bias indicates only systematic errors that result in overestimation (MG >1) or underestimation (MG <1). 37,38 MG…”

Section: Modeling Ammonia Performancementioning

confidence: 99%

Ammonia emissions from livestock facilities around an international airport, Tehran, Iran: An experimental and mathematical study

Asadollahfardi,

Khoormehr,

Sarmadi

et al. 2024

Env Prog and Sustain Energy

View full text Add to dashboard Cite

Ammonia emissions from livestock farms are a major problem for staff and residents near these centers. Anaerobic decomposition of livestock waste and the collection and stacking of waste are the main sources of ammonia gas on livestock farms. This article examined ammonia emissions from livestock facilities near Tehran Imam Khomeini International Airport. First, field measurements were made in the summer (30°C), and collected samples were examined using the indophenol technique. AERMOD, based on Gaussian fluctuating plume theory, was constructed to model ammonia emissions. According to AERMOD, the maximum periodic‐seasonal 2‐hourly and 8‐hourly ammonia concentrations were 15.9, 229, and 63.7 OU (odor unit per unit volume)/m3, respectively. The hourly ammonia emission rate from livestock sources is also 0.0168 gm−2 h−1. AERMOD results mathematical model indicated reasonable agreement with the field measurement, which the coefficient of determination (R2), index of agreement (d), and efficiency coefficient (E) were 0.95, 0.97, and 0.91, respectively. Moreover, Statistical indices, including geometric mean bias (MG), geometric variance (VG), fraction of predictions within a factor of two of observations (FAC2), and normalized mean square error (NMSE), the root mean square error (RMSE) and mean absolute error (MAE) are also indicated by 1.36 and 0.67, respectively, were used to assess the reliability of the model results showed that AERMOD had a good agreement with the field measurement.

show abstract

Measuring and Modeling Atmospheric Ammonia from Agricultural Sources at a Landscape Scale

Cited by 2 publications

References 30 publications

Spatial Distribution of Ammonia Concentrations and Modeled Dry Deposition in an Intensive Dairy Production Region

Spatial Distribution of Ammonia Concentrations and Modeled Dry Deposition in an Intensive Dairy Production Region

Ammonia emissions from livestock facilities around an international airport, Tehran, Iran: An experimental and mathematical study

Contact Info

Product

Resources

About