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猪舍不同发酵床垫料温室气体排放研究
引用本文:魏思雨,李建辉,刘姝彤,郭海宁,马晗,尹微琴,王小治,封克.猪舍不同发酵床垫料温室气体排放研究[J].农业环境科学学报,2015,34(10):1991-1996.
作者姓名:魏思雨  李建辉  刘姝彤  郭海宁  马晗  尹微琴  王小治  封克
作者单位:扬州大学环境科学与工程学院, 江苏 扬州 225127,扬州大学环境科学与工程学院, 江苏 扬州 225127,扬州大学环境科学与工程学院, 江苏 扬州 225127,扬州大学环境科学与工程学院, 江苏 扬州 225127,扬州大学环境科学与工程学院, 江苏 扬州 225127,扬州大学环境科学与工程学院, 江苏 扬州 225127,扬州大学环境科学与工程学院, 江苏 扬州 225127;江苏省有机固体废弃物资源化协同创新中心, 南京 210095,扬州大学环境科学与工程学院, 江苏 扬州 225127;江苏省有机固体废弃物资源化协同创新中心, 南京 210095
基金项目:江苏省农业科技自主创新资金项目(CX(12)1001-6);江苏省苏北科技发展计划(BN2013010);江苏省六大人才高峰项目(NY--017);江苏省研究生科研创新计划(KYLX1347)
摘    要:为评价生态养猪过程中不同发酵床垫料组成对温室气体排放的影响,在南京六合发酵床养殖基地,设置3种不同垫料的发酵床处理,其垫料组成分别为木屑(S)、木屑+稻壳(SR)、木屑+稻壳+秸秆段(SRS).在一个试验周期内,连续测定垫料中CO2、CH4及N2O等温室气体的排放,以及pH、含水率、铵态氮和硝态氮的动态变化,同时分析了三种垫料温室气体排放差异的机理.结果表明,垫料排放的温室气体以CO2和N2O为主,二者在三种温室气体二氧化碳排放当量中的占比高达99.3%~99.6%;三种垫料N2O的排放主要集中在猪出栏前一个月,占整个试验期间排放总量的61%~68%;在垫料中添加秸秆段(SRS)对CO2和N2O排放总量的影响不显著,但显著增加CH4的排放,其CH4排放总量分别是S和SR的2.30倍和2.46倍;SRS的二氧化碳排放当量亦高于S和SR,而S和SR的二氧化碳排放当量相差不大,三种处理间无显著性差异.

关 键 词:猪发酵床  温室气体  秸秆
收稿时间:5/4/2015 12:00:00 AM

Greenhouse Gas Emissions from Bio-bed Pig Raising Units with Different Bedding Materials
WEI Si-yu,LI Jian-hui,LIU Shu-tong,GUO Hai-ning,MA Han,YIN Wei-qin,WANG Xiao-zhi and FENG Ke.Greenhouse Gas Emissions from Bio-bed Pig Raising Units with Different Bedding Materials[J].Journal of Agro-Environment Science( J. Agro-Environ. Sci.),2015,34(10):1991-1996.
Authors:WEI Si-yu  LI Jian-hui  LIU Shu-tong  GUO Hai-ning  MA Han  YIN Wei-qin  WANG Xiao-zhi and FENG Ke
Institution:College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China,College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China,College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China,College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China,College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China,College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China,College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China;Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing 210095, China and College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China;Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing 210095, China
Abstract:Bio-bed pig-raising is a new pig-raising technique, and is drawing increasing interests. However, the impact of this new system on greenhouse gas emissions is poorly understood. In this study, greenhouse gas(CO2, CH4 and N2O) emissions were monitored in pig units three bedding materials, including sawdust(S), sawdust + rice husk(SR) and sawdust + rice husk + straw(SRS), in Liuhe Bio-bed pig farms, Nanjing. The physical and chemical properties of bedding materials(pH, moisture, ammonium and nitrate) were also measured during the experimental period. Results showed that CO2 and N2O were the main greenhouse gases, both accounting for 99.3%~99.6% of the total greenhouse gas emissions. The emissions of N2O mainly occurred during the last one month of the feeding period, accounting for 61% ~68% of the total N2O emission amount. The total CO2 and N2O emissions during the experimental period were not significantly different(P >0.05), while CH4 emissions were significantly different (P <0.01) among three materials. The largest CH4 emissions occurred in SRS treatment(18.60 g·m-2), followed by S treatment(8.10 g·m-2) and SR treatment(7.57g·m-2). Carbon dioxide equivalent emissions were higher in SRS than in S and SR, while the carbon dioxide equivalent emissions were not significantly different(P <0.05) between S and SR. In addition, the carbon dioxide equivalent emissions per unit area were not significantly different in three beds during the experimental period(P >0.05). The mechanisms of the differences in three greenhouse gas emissions in the three treatments were also discussed.
Keywords:bio-bed  greenhouse gases  straw
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