Premium
Arrhenius Equation for Modeling Feedyard Ammonia Emissions Using Temperature and Diet Crude Protein
Author(s) -
Todd Richard W.,
Cole N. Andy,
Waldrip Heidi M.,
Aiken Robert M.
Publication year - 2013
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq2012.0371
Subject(s) - arrhenius equation , chemistry , ammonia , volatilisation , atmospheric sciences , zoology , environmental science , activation energy , biochemistry , physics , organic chemistry , biology
Temperature controls many processes of NH 3 volatilization. For example, urea hydrolysis is an enzymatically catalyzed reaction described by the Arrhenius equation. Diet crude protein (CP) controls NH 3 emission by affecting N excretion. Our objectives were to use the Arrhenius equation to model NH 3 emissions from beef cattle ( Bos taurus ) feedyards and test predictions against observed emissions. Per capita NH 3 emission rate (PCER), air temperature ( T ), and CP were measured for 2 yr at two Texas Panhandle feedyards. Data were fitted to analogs of the Arrhenius equation: PCER = f ( T ) and PCER = f ( T ,CP). The models were applied at a third feedyard to predict NH 3 emissions and compare predicted to measured emissions. Predicted mean NH 3 emissions were within −9 and 2% of observed emissions for the f ( T ) and f (T,CP) models, respectively. Annual emission factors calculated from models underestimated annual NH 3 emission by 11% [ f ( T ) model] or overestimated emission by 8% [ f ( T ,CP) model]. When T from a regional weather station and three classes of CP drove the models, the f ( T ) model overpredicted annual NH 3 emission of the low CP class by 14% and underpredicted emissions of the optimum and high CP classes by 1 and 39%, respectively. The f ( T ,CP) model underpredicted NH 3 emissions by 15, 4, and 23% for low, optimum, and high CP classes, respectively. Ammonia emission was successfully modeled using T only, but including CP improved predictions. The empirical f ( T ) and f ( T ,CP) models can successfully model NH 3 emissions in the Texas Panhandle. Researchers are encouraged to test the models in other regions where high‐quality NH 3 emissions data are available.