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通过将遥感技术整合到LCA方法中,改进菜种子碳足迹评估

Xueqing Yang¹, Xiuchun Dong², Alberto Bezama³

¹Institute of Remote Sensing and Digital Agriculture (Chengdu Agricultural Remote Sensing Sub-center), Sichuan Academy of Agricultural Sciences, Chengdu, China; Department of Bioenergy, Helmholtz-Centre for Environmental Research (UFZ), Leipzig, Germany.

The Science of the total environment

|June 26, 2024

概括

这项研究将遥感与生命周期评估相结合,绘制了油菜的分布图,并评估了其碳足迹 (CF). 这些发现突出了化肥的含量.

科学领域:

农业科学农业科学
环境科学环境科学
遥感遥感遥感遥感

背景情况:

农业碳足迹 (CF) 评估对于减缓气候变化和粮食安全至关重要.
现有的CF研究经常缺乏精细的空间-时间细节.
遥感 (RS) 提供详细的作物信息,对改善CF评估有价值.

研究的目的:

将遥感技术整合到生命周期评估中,以加强菜CF评估.
为了评估油菜碳足迹的时空空间异质性.
为了确定大菜种子生产中温室气体排放的主要贡献者.

主要方法:

开发了一种使用遥感的高分辨率 (10m x 10m) 菜种子分布映射方法.
在中国西南部成都平原 (2021-2023) 进行了菜生产的生命周期评估 (LCA).
分析了基于农场和基于产品的碳足迹和温室气体排放.

主要成果:

该RS集成方法成功地在高分辨率下绘制了油菜的分布图.
基于农场的CF在3333.08至4572.82千克CO2-eq ha-1之间,基于产品的CF (PCF) 在1316.23至2443.95千克CO2-eq t-1.1之间.
化肥的加工和应用是温室气体排放的主要来源;土壤特性和有机碳显示了温室气体抵消的潜力.

结论:

拟议的RS-LCA方法对于具有高适应性,详细评估菜CF有效.
这些发现为制定差异化农业碳减排政策提供了基础.
土壤有机碳在影响作物PCF和温室气体抵消方面发挥着重要作用.

关键词:

气候变化气候变化气候变化环境影响环境影响温室气体排放量排放量温室气体排放量生命周期评估生命周期评估土壤有机碳土壤有机碳空间时间的异质性.

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