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黑龙江省大豆生产的碳足迹时空分布特征及生态优化研究
Spatiotemporal Distribution Characteristics and Ecological Optimization of Carbon Footprint in Soybean Production in Heilongjiang
【摘要】 选取我国大豆主产区黑龙江省为研究区,采用生命周期评价(LCA)法核算该地区2011—2020年大豆生产的碳足迹,分析其时空分布特征,利用灰色关联分析法分析全省各地级市(地区)大豆生产碳足迹的影响因素,确定其碳排放的主要来源,提出大豆生产的生态优化方案。结果表明:2011—2020年黑龙江省大豆生产碳足迹平均值为0.337 kg/kg(以CO2当量计),整体呈现反复波动、“北多南少”的格局;在所选的9个黑龙江省大豆生产碳足迹影响因素中,农药、种子、柴油3个因素的贡献度最大。
【Abstract】 Taking Heilongjiang, the main soybean producing area in China, as the research area, the carbon footprint of soybean production in this area from 2011 to 2020 was calculated by using Life Cycle Assessment(LCA), and its spatiotemporal distribution characteristics were analyzed. Grey correlation analysis was used to analyze the influencing factors on carbon footprint of soybean production in various cities(regions) throughout the province, so as to determine the main sources of carbon emission and put forward the ecological optimization plan for soybean production. The results showed that the average carbon footprint of soybean production in Heilongjiang from 2011 to 2020 was 0.337 kg/kg(calculated by CO2 equivalent), showing a pattern of repeated fluctuations and “more in the north and less in the south”. Among the nine selected factors affecting the carbon footprint of soybean production in Heilongjiang, pesticides, seeds and diesel had the greatest impact.
【Key words】 Carbon footprint; Spatiotemporal distribution; Ecological optimization; Soybean production; Life cycle assessment; Heilongjiang Province;
- 【文献出处】 环境监测管理与技术 ,The Administration and Technique of Environmental Monitoring , 编辑部邮箱 ,2024年03期
- 【分类号】F326.12;X322
- 【下载频次】103