Greenhouse gas emissions from swine barns of various production stages in suburban Beijing, China [An article from: Atmospheric Environment] Buy on Amazon

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Greenhouse gas emissions from swine barns of various production stages in suburban Beijing, China [An article from: Atmospheric Environment]

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PublisherElsevier
ISBN / ASINB000PDTJRM
ISBN-13978B000PDTJR2
AvailabilityAvailable for download now
MarketplaceUnited States  🇺🇸

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This digital document is a journal article from Atmospheric Environment, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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Gaseous emissions from animal feeding operations may be influenced by production stage, genetics, dietary type and nutritional plan, housing type, manure handling schemes, and climatic conditions. This study was conducted to quantify annual emission rates (ERs) of greenhouse gases (GHGs)-methane (CH"4), carbon dioxide (CO"2) and nitrous oxide (N"2O) from naturally ventilated swine gestation (GE), farrowing (FA), nursery (NU) and growing-finishing (GF) barns under typical operational conditions in suburban Beijing, China. Variables relative to the GHG ERs were measured every two months for a one-year period, with each measurement episode lasting 72h. Air exchange rate of the naturally ventilated barns was estimated using CO"2 balance method. The annual mean daily GHG ERs (mean +/- SD), expressed in gd^-^1AU^-^1(AU=animal unit=500 live body weight), for the GE, FA, NU, and GF barns were, respectively, 5920+/-440,7490+/-110,29670+/-1090 and 16730+/-1060 for CO"2; 9.6+/-1.9,9.6+/-3.6,58.4+/-21.8 and 32.1+/-11.7 for CH"4; and 0.75+/-0.56,0.54+/-0.15,1.29+/-0.37 and 0.86+/-0.75 for N"2O. The GHG ER values from the current study paralleled those reported in the literature in some cases but differed considerably in other cases. This outcome of similarity and disparity confirms the need to exercise caution when applying literature data to estimation of GHG emissions under various production systems. Results of this study are expected to contribute to the global GHG inventory.
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