2007
DOI: 10.4141/cjss06003
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Estimation of ammonia emission episodes for a national inventory using a farmer survey and probable number of field working days

Abstract: S. 2007. Estimation of ammonia emission episodes for a national inventory using a farmer survey and probable number of field working days. Can. J. Soil Sci. 87: 301-313. Emissions of ammonia (NH 3 ) and odor from livestock operations, and particularly from the landspreading of manure, are an issue from many aspects. Regional and national issues include production of inhalable aerosols (PM 2.5 ), where NH 3 from agriculture is a critical precursor. This process is episodic. As a result, it is important to chara… Show more

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Cited by 10 publications
(13 citation statements)
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“…This is usually somewhat lower than the maximum capacity, since some barns will be empty or not fully occupied. The model also provides daily emission rates for landspreading days and nonlandspreading days (Sheppard et al 2007a), based on the average numbers of days each month when landspreading typically occurs. Four swine classes were itemized:…”
Section: Model Formulationmentioning
confidence: 99%
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“…This is usually somewhat lower than the maximum capacity, since some barns will be empty or not fully occupied. The model also provides daily emission rates for landspreading days and nonlandspreading days (Sheppard et al 2007a), based on the average numbers of days each month when landspreading typically occurs. Four swine classes were itemized:…”
Section: Model Formulationmentioning
confidence: 99%
“…Thus, the specific knowledge gaps addressed by the farm survey and the model described in the present paper deal with the ability to compute relative NH 3 emission rates at a fine spatial resolution such as the soil land classification (SLC) polygons or uniform grids as used in atmospheric models, and temporal resolution of at least monthly. In fact, finer temporal resolution is possible with this model using the stochastic approach proposed by Sheppard et al (2007a). To develop the emission model, we tested the key hypotheses that the input data varied across Ecoregions and over a 12-mo period, which leads to the inference that relative emissions would also vary.…”
mentioning
confidence: 99%
“…As described by Sheppard et al (2007a), weather within a region can lead to synchrony in the days when there is landspreading, especially in early spring and late fall when wet soils limit the numbers of day when field operations are possible. Table 10 and Fig.…”
Section: Monthly Variationmentioning
confidence: 99%
“…These values can be obtained from AAFC. Additionally, the model provided daily emission rates for landspreading days and non-landspreading days (Sheppard et al 2007a), and the average numbers of days each month when landspreading typically occurs. Few poultry classes were needed:…”
Section: Output From the Emission Modelsmentioning
confidence: 99%
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