Development of a farm-scale, quasi-mechanistic model to estimate ammonia emissions from commercial manure-belt layer houses

摘要: Poultry production significantly contributes to atmospheric ammonia (NH3) emissions, causing concerns over their environmental impacts and the effects on human bird health inside poultry houses. A model is needed estimate NH3 emissions from facilities in order develop effective mitigation strategies science-based regulations. The laboratory-scale mechanistic emission developed by Tong, Zhao, Heber, Ni (2020) requires extensive monitoring laboratory work for inputs therefore cannot be conveniently used producers or regulatory agencies. Based this model, a farm-scale was estimating dynamic rates commercial manure-belt layer Sub-models were of conditions that are commonly known during production. Computational fluid dynamics (CFD) models analyses manure characteristics air conditions, properties, areas estimated daily typical houses given dates with input data consisting hen inventory, ambient temperature, house ventilation mode rate, management practices. Model performance evaluated comparison four different systems. Uncertainties 26–32% relative obtained based uncertainties individual sub-models along corresponding sensitivities. had an acceptable ordinary egg (p-value = 0.10–0.61), but it needs further development special events such as moulting introduction new flocks.