Sensitivity analysis of mechanistic models for estimating ammonia emission from dairy cow urine puddles

Snoek, Dennis J.W.; Stigter, J.D.; Ogink, N.W.M.; Koerkamp, P.W.G. Groot

doi:10.1016/j.biosystemseng.2014.02.003

Cited by 32 publications

(28 citation statements)

References 35 publications

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“…Manure composition and therefore gaseous emissions may be also affected by other factors of variation such as slurry management or temperature (Liu et al, 2013;Snoek et al, 2014) in the farm. The type of operation (e.g.…”

Section: Effects Of Dietary N Concentrationmentioning

confidence: 99%

Relationships among slurry characteristics and gaseous emissions at different types of commercial Spanish pig farms

Becaccia

Ferrer

Ibáñez

et al. 2015

Span. j. agric. res.

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This study aimed to analyse several factors of variation of slurry composition and to establish prediction equations for potential methane (CH 4 ) and ammonia (NH 3 ) emissions. Seventy-nine feed and slurry samples were collected at two seasons (summer and winter) from commercial pig farms sited at two Spanish regions (Centre and Mediterranean). Nursery, growing-fattening, gestating and lactating facilities were sampled. Feed and slurry composition were determined, and potential CH 4 and NH 3 emissions measured at laboratory. Feed nutrient contents were used as covariates in the analysis. Near infrared reflectance spectroscopy (NIRS) was evaluated as a predicting tool for slurry composition and potential gaseous emissions. A wide variability was found both in feed and slurry composition. Mediterranean farms had a higher pH (p<0.001) and ash (p=0.02) concentration than those located at the Centre of Spain. Also, type of farm affected ether extract content of the slurry (p=0.02), with highest values obtained for the youngest animal facilities. Results suggested a buffer effect of dietary fibre on slurry pH and a direct relationship (p<0.05) with fibre constituents of manure. Dietary protein content did not affect slurry nitrogen content but decreased (p=0.003) total and volatile solids concentration. Prediction models of potential NH 3 emissions (R 2 =0.89) and CH 4 yield (R 2 =0.61) were obtained from slurry composition. Predictions from NIRS showed a high accuracy for most slurry constituents (R 2 >0.90) and similar accuracy of prediction of potential NH 3 and CH 4 emissions (R 2 =0.84 and 0.68, respectively) to models using slurry characteristics, which can be of interest to estimate emissions from commercial farms and establish mitigation strategies or optimize biogas production. Additional key words: ammonia; methane; NIRS; animal nutrition; prediction model.

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Section: Effects Of Dietary N Concentrationmentioning

confidence: 99%

Relationships among slurry characteristics and gaseous emissions at different types of commercial Spanish pig farms

Becaccia

Ferrer

Ibáñez

et al. 2015

Span. j. agric. res.

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“…housings (Gates et al, 2008;Snoek et al, 2014). Full-scale in situ measurements are costly and time-consuming, and their accuracy might be compromised by variations in the final broiler market weight (Gates et al, 2008).…”

mentioning

confidence: 99%

“…Mechanistic and deterministic algorithms have been used to estimate NH 3 emissions from animal housing under particular circumstances (Bouwman et al, 1997;Miragliotta et al, 2004;Gates et al, 2005;Siefert and Scudlark, 2008;Casey et al, 2010). The estimation of ammonia shows high variability influencing the predictive emission models (Snoek et al, 2014), and found values have been adopted to define NH 3 emission inventories in different regions and countries (Groot Koerkamp et al, 1998;Demmers et al, 1999;Wheeler et al, 2006;Gates et al, 2008;Harper et al, 2009;Harper et al, 2010;Calvet et al, 2011).…”

mentioning

confidence: 99%

Model-predicted ammonia emission from two broiler houses with different rearing systems

Lima

Garcia

Nääs

et al. 2015

Sci. agric. (Piracicaba, Braz.)

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Ammonia (NH 3 ) emissions from broiler production can affect human and animal health and may cause acidification and eutrophication of the surrounding environment. This study aimed to estimate ammonia emissions from broiler litter in two systems of forced ventilation, the tunnel ventilation (TV) and the dark house (DH). The experiment was carried out on eight commercial broiler houses, and the age of the birds (day, d), pH and litter temperature were recorded.Broilers were reared on built-up wood shaving litter using an average flock density of 14 bird m -².Temperature and relative humidity inside the broiler houses were recorded in the morning during the grow-out period. A factorial experimental design was adopted, with two types of houses, four replicates and two flocks with two replicates each. A deterministic model was used to predict ammonia emissions using the litter pH and temperature, and the day of grow-out. . Model-predicted ammonia emissions provided comprehensible estimations and might be used in abatement strategies for NH 3 emission.

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“…However, according to Snoek et al (2014b) the empirical equations for the model parameters vary among these models. In practise many of the input variables cannot be measured or assessed accurately and their actual influence on the NH 3 emission is thus unknown.…”

Section: Acknowledgementsmentioning

confidence: 99%

“…In practise many of the input variables cannot be measured or assessed accurately and their actual influence on the NH 3 emission is thus unknown. In their study Snoek et al (2014b) performed a sensitivity analysis of these models and demonstrated that the variation in NH 3 emission can be explained for at least 71 % by five puddle-related input variables: 1. pH, 2. depth, 3. urea concentration, 4. area, and 5. temperature. Furthermore, this study found that these models seldom used input from commercial dairy houses.…”

Section: Acknowledgementsmentioning

confidence: 99%

Refining a model-based assessment strategy to estimate the ammonia emission from floors in dairy cow houses

Snoek¹

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Sensitivity analysis of mechanistic models for estimating ammonia emission from dairy cow urine puddles

Cited by 32 publications

References 35 publications

Relationships among slurry characteristics and gaseous emissions at different types of commercial Spanish pig farms

Relationships among slurry characteristics and gaseous emissions at different types of commercial Spanish pig farms

Model-predicted ammonia emission from two broiler houses with different rearing systems

Refining a model-based assessment strategy to estimate the ammonia emission from floors in dairy cow houses

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