TY - GEN
T1 - Process modeling of ammonia volatilization from ammonium solution and manure surfaces
AU - Montes, Felipe
AU - Rotz, Alan
AU - Chaoui, Hala
PY - 2008
Y1 - 2008
N2 - Ammonia emissions occur from manure surfaces on the barn floor, during storage, and following field application. Based upon theoretical principles and associated published information on ammonia emission, relationships were refined for modeling the dissociation constant, Henry's law constant and mass transfer coefficient to better predict ammonia loss from manure surfaces. Expressions were obtained that relate these coefficients to the temperature, pH and ionic strength of the material, and the air velocity over the material. These expressions were tested by comparing predicted ammonia emission rates against values measured in controlled laboratory experiments for buffered ammonium-water solutions and dairy cattle manure. Experimental results compared well to values predicted using these theoretical expressions derived from ammonia volatilization literature. This process-based model provides a basis for developing predictive tools that better quantify management effects on ammonia emissions from farms and thus assist in the development and evaluation of strategies for reducing emissions.
AB - Ammonia emissions occur from manure surfaces on the barn floor, during storage, and following field application. Based upon theoretical principles and associated published information on ammonia emission, relationships were refined for modeling the dissociation constant, Henry's law constant and mass transfer coefficient to better predict ammonia loss from manure surfaces. Expressions were obtained that relate these coefficients to the temperature, pH and ionic strength of the material, and the air velocity over the material. These expressions were tested by comparing predicted ammonia emission rates against values measured in controlled laboratory experiments for buffered ammonium-water solutions and dairy cattle manure. Experimental results compared well to values predicted using these theoretical expressions derived from ammonia volatilization literature. This process-based model provides a basis for developing predictive tools that better quantify management effects on ammonia emissions from farms and thus assist in the development and evaluation of strategies for reducing emissions.
UR - https://www.scopus.com/pages/publications/63049118567
UR - https://www.scopus.com/pages/publications/63049118567#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:63049118567
SN - 9781605605364
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008
SP - 952
EP - 971
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008
PB - American Society of Agricultural and Biological Engineers
T2 - American Society of Agricultural and Biological Engineers Annual International Meeting 2008
Y2 - 29 June 2008 through 2 July 2008
ER -