基于LCA的农产品供应链GHG排放定量分析——以黑龙江省水稻为例

发布时间：2018-05-10 22:25

本文选题：生命周期 + 供应链　；参考：《物流技术》2015年19期

【摘要】：以黑龙江省水稻供应链为例,采用生命周期的方法来定量分析其供应链GHG排放量。结果表明:运输方式对总的碳排放量影响程度最大的是中型货车,其次是重型卡车、火车和轮船。黑龙江2012年水稻供应链温室气体总排放量为7 211 853.53t CO2当量,其中生产阶段、加工阶段、运输阶段、秸秆焚烧阶段中温室气体排放量分别占到12.08%、9.16%、12.88%、65.89%。秸秆资源量、运输距离、机械耗电量、生产面积四个相关因素对供应链温室气体排放影响程度依次为0.66、0.13、0.12、0.09。
[Abstract]:Taking the rice supply chain in Heilongjiang Province as an example, the GHG emissions from the supply chain were quantitatively analyzed by using the life-cycle method. The results show that medium truck, heavy truck, train and ship have the greatest influence on the total carbon emission. The total greenhouse gas emission from the rice supply chain in Heilongjiang in 2012 was 7 211,853.53 t CO2 equivalent. The greenhouse gas emissions in the production stage, processing stage, transportation stage and straw burning stage accounted for 12.08% 9.16% and 12.88% 65.89 t respectively. The effects of straw resource quantity, transportation distance, mechanical electricity consumption and production area on greenhouse gas emissions in supply chain were 0.66n0.130.120.12g / 0.09.
【作者单位】：福建农林大学交通与土木工程学院;
【基金】：国家自然科学基金资助项目(41201100) 福建省自然科学基金资助(2012J01071) 福建省教育厅科技项目(JB14005)
【分类号】：X712;F326.6

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