Modeling temperature and moisture dependent emissions of carbon dioxide and methane from drying dairy cow manure
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Univ Arizona, Dept Soil Water & Environm SciIssue Date
2018-05
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HIGHER EDUCATION PRESSCitation
Enzhu HU,Pakorn SUTITARNNONTR,Markus TULLER, et al. Modeling temperature and moisture dependent emissions of carbon dioxide and methane from drying dairy cow manure[J]. Front. Agr. Sci. Eng. , 2018, 5(2): 280-286.Rights
© The Author(s) 2018. Published by Higher Education Press. This is an open access article under the CC BY license.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Greenhouse gas emissions due to biological degradation processes of animal wastes are significant sources of air pollution from agricultural areas. The major environmental controls on these microbe-induced gas fluxes are temperature and moisture content. The objective of this study was to model the effects of temperature and moisture content on emissions of CO2 and CH4 during the ambient drying process of dairy manure under controlled conditions. Gas emissions were continuously recorded over 15 d with paired fully automated closed dynamic chambers coupled with a Fourier Transformed Infrared gas analyzer. Water content and temperature were measured and monitored with capacitance sensors. In addition, on days 0, 3, 6, 9, 12 and 15, pH, moisture content, dissolved organic carbon and total carbon (TC) were determined. An empirical model derived from the Arrhenius equation confirmed high dependency of carbon emissions on temperature and moisture content. Results indicate that for the investigated dairy manure, 6.83% of TC was lost in the form of C-O2 and 0.047% of TC was emitted as CH4. Neglecting the effect of temperature, the moisture contents associated with maximum gas emissions were estimated as 0.75 and 0.79 g center dot g(-1) for CO2 and CH4, respectively.Note
Open access journal.ISSN
2095-7505Version
Final published versionSponsors
USDA-NIFA AFRI Air Quality Program [2010-85112-50524]; Utah Agricultural Experiment Station, Utah State University, Logan, Utah, USA [8647]; National Natural Science Foundation of China [41401225]; Fundamental Research Funds for the Central Universities, China [N150204005]; Natural Science Foundation of Liaoning Province, China [201602250]Additional Links
http://journal.hep.com.cn/fase/EN/10.15302/J-FASE-2018215ae974a485f413a2113503eed53cd6c53
10.15302/J-FASE-2018215
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Except where otherwise noted, this item's license is described as © The Author(s) 2018. Published by Higher Education Press. This is an open access article under the CC BY license.