Ammonia emission modelling and reduced sampling strategies in cage-based laying hen facilities
| Autor: | Pilar Merino, Eduardo Rosa, H. Arriaga, Gema Montalvo, Julio Mosquera |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
inorganic chemicals
Emissie & Mestverwaarding Soil Science Emission factor 01 natural sciences Laying law.invention Sampling (signal processing) Ammonia law parasitic diseases Statistics Statistical analysis Laying hen Reduced sampling Moisture 010401 analytical chemistry Continuous monitoring 04 agricultural and veterinary sciences 0104 chemical sciences Ammonia emission Control and Systems Engineering Ventilation (architecture) 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Emissions & Manure Valorisation Cage Agronomy and Crop Science Animal housing Model Food Science |
| Zdroj: | Biosystems Engineering, 204, 304-311 Biosystems Engineering 204 (2021) |
| ISSN: | 1537-5110 |
| DOI: | 10.1016/j.biosystemseng.2021.02.002 |
| Popis: | Ammonia (NH3) is the major source of N loss related to laying hen facilities. Previous studies are often based on continuous monitoring of NH3 concentration and ventilation rate in the facilities during long periods. The objectives of this study were (i) to relate climate and production management parameters to model NH3 emission, (ii) to check the accuracy of the proposed model and (iii) to evaluate the accuracy of reduced sampling strategies in estimating NH3 emission. Four datasets of laying hen facilities located in areas representing different climates in Spain were used for model development and reduced sampling strategies evaluation. Indoor and outdoor temperatures, relative moisture, ventilation rate, NH3 concentration, hen live weight and feed N consumption were introduced in the statistical analysis. Outdoor temperature was the main factor related to NH3 emission. Tests showed that the variation between the model estimates and on-farm calculated NH3 losses was, on average, ±15%. Four sampling frequencies were tested to evaluate reduced sampling strategies. The reduction of the sampling frequency resulted in an increase of estimation error ranging from |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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