TY - JOUR
T1 - Estimating greenhouse gas emissions from a waste lagoon
AU - Quintanar, A. I.
AU - Mahmood, R.
AU - Lovanh, N.
AU - Rawley, J. M.
AU - Becerra-Acosta, E.
AU - Loughrin, J. H.
PY - 2013
Y1 - 2013
N2 - A cost-effective approach was used to investigate the relationship between emission of the greenhouse gases (GHG), namely, CO2, CH4, and N2O and energy fluxes from a swine waste lagoon. Energy fluxes were calculated using the Penman method. The energy fluxes showed a diurnal pattern as expected of such fluxes. We found that air temperature and latent energy, lagoon surface temperature and solar radiation, as well as air temperature and wind speed can be used to predict for CO2, CH4, and N2O emissions, respectively. Comparison of observed and predicted emissions provided r2 values of 0.49, 0.61, and 0.69 for CH4, N2O, and CO2, respectively. This research shows that long-term studies of GHG emissions and meteorological conditions are necessary to better understand the factors controlling the emissions of GHG in order to devise best management practices (BMP) for their control.
AB - A cost-effective approach was used to investigate the relationship between emission of the greenhouse gases (GHG), namely, CO2, CH4, and N2O and energy fluxes from a swine waste lagoon. Energy fluxes were calculated using the Penman method. The energy fluxes showed a diurnal pattern as expected of such fluxes. We found that air temperature and latent energy, lagoon surface temperature and solar radiation, as well as air temperature and wind speed can be used to predict for CO2, CH4, and N2O emissions, respectively. Comparison of observed and predicted emissions provided r2 values of 0.49, 0.61, and 0.69 for CH4, N2O, and CO2, respectively. This research shows that long-term studies of GHG emissions and meteorological conditions are necessary to better understand the factors controlling the emissions of GHG in order to devise best management practices (BMP) for their control.
KW - CH4
KW - CO2
KW - Energy flux
KW - Greenhouse gas (ghg)
KW - Livestock waste lagoon
KW - N2O
UR - http://www.scopus.com/inward/record.url?scp=84884189851&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884189851&partnerID=8YFLogxK
U2 - 10.13031/aea.29.10013
DO - 10.13031/aea.29.10013
M3 - Article
AN - SCOPUS:84884189851
SN - 0883-8542
VL - 29
SP - 511
EP - 519
JO - Applied Engineering in Agriculture
JF - Applied Engineering in Agriculture
IS - 4
ER -