Carbon Footprint Analysis for Mechanization of Maize Production Based on Life Cycle Assessment: A Case Study in Jilin Province, China
Carbon Footprint Analysis for Mechanization of Maize Production Based on Life Cycle Assessment: A Case Study in Jilin Province, China
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DOI：
10.3390/su71115772
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发表时间：
2015-11
期刊：
影响因子：
3.9
通讯作者：
Hainan Wang;Yingsheng Yang;Xiaoyi Zhang;Guangdong Tian
中科院分区：
文献类型：
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作者：
Hainan Wang;Yingsheng Yang;Xiaoyi Zhang;Guangdong Tian
农业碳足迹理论可以系统地评价农业生产过程中人为因素造成的碳排放，是建设低碳农业的理论基础，对实现低碳农业具有重要的指导意义。本文基于吉林省2014年农业生产调查数据，通过以下方法，清晰了解玉米生产的碳足迹：（1）利用生命周期评估（LCA）对一吨玉米产量进行系统评价； (2)根据现场实测数据估算了整个系统的碳排放量，(3)利用排放因子估算了吉林省2006-2013年的碳足迹，并利用灰色系统模型GM(1, 1)对2014-2020年的碳足迹进行了预测。
The theory on the carbon footprint of agriculture can systematically evaluate the carbon emissions caused by artificial factors from the agricultural production process, which is the theoretical basis for constructing low-carbon agriculture and has important guiding significance for realizing low-carbon agriculture. Based on farm production survey data from Jilin Province in 2014, this paper aims to obtain a clear understanding of the carbon footprint of maize production through the following method: (1) one ton of maize production was evaluated systematically by using the Life Cycle Assessment (LCA); (2) the carbon emissions of the whole system were estimated based on field measurement data, (3) using the emission factors we estimated Jilin’s carbon footprint for the period 2006–2013, and forecasted it for the period from 2014 to 2020 using the grey system model GM (1, 1).