Methane Emission Characteristics of Naturally Ventilated Cattle Buildings

dc.bibliographicCitation.firstPage4314eng
dc.bibliographicCitation.issue10eng
dc.bibliographicCitation.journalTitleSustainabilityeng
dc.bibliographicCitation.volume12eng
dc.contributor.authorHempel, Sabrina
dc.contributor.authorWillink, Diliara
dc.contributor.authorJanke, David
dc.contributor.authorAmmon, Christian
dc.contributor.authorAmon, Barbara
dc.contributor.authorAmon, Thomas
dc.date.accessioned2021-07-12T12:05:01Z
dc.date.available2021-07-12T12:05:01Z
dc.date.issued2020
dc.description.abstractThe mandate to limit global temperature rise calls for a reliable quantification of gaseous pollutant emissions as a basis for effective mitigation. Methane emissions from ruminant fermentation are of particular relevance in the context of greenhouse gas mitigation. The emission dynamics are so far insufficiently understood. We analyzed hourly methane emission data collected during contrasting seasons from two naturally ventilated dairy cattle buildings with concrete floor and performed a second order polynomial regression. We found a parabolic temperature dependence of the methane emissions irrespective of the measurement site and setup. The position of the parabola vertex varied when considering different hours of the day. The circadian rhythm of methane emissions was represented by the pattern of the fitted values of the constant term of the polynomial and could be well explained by feeding management and air flow conditions. We found barn specific emission minima at ambient temperatures around 10 °C to 15 °C. As this identified temperature optimum coincides with the welfare temperature of dairy cows, we concluded that temperature regulation of dairy cow buildings with concrete floor should be considered and further investigated as an emission mitigation measure. Our results further indicated that empirical modeling of methane emissions from the considered type of buildings with a second order polynomial for the independent variable air temperature can increase the accuracy of predicted long-term emission values for regions with pronounced seasonal temperature fluctuationseng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/6261
dc.identifier.urihttps://doi.org/10.34657/5308
dc.language.isoengeng
dc.publisherBasel : MDPI AGeng
dc.relation.doihttps://doi.org/10.3390/su12104314
dc.relation.essn2071-1050
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc333,7eng
dc.subject.ddc690eng
dc.subject.otherlivestockeng
dc.subject.othergreenhouse gaseng
dc.subject.othertemperature dependencyeng
dc.subject.otherbarn-specific patterneng
dc.titleMethane Emission Characteristics of Naturally Ventilated Cattle Buildingseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorATBeng
wgl.subjectUmweltwissenschafteneng
wgl.typeZeitschriftenartikeleng
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