基于评估的种植结构优化模型的开发,以减轻农业温室气体排放
Yuhan Han1, Qian Tan2, Tong Zhang3
1College of Water Resources and Civil Engineering, China Agricultural University, Beijing, 100083, China.
Journal of environmental management
|November 1, 2023
概括
本研究引入了一种综合方法,以优化作物结构,以减少农业温室气体 (GHG) 排放. 这种新方法克服了以前的局限性,为较低的碳足迹提供了清晰,可操作的作物模式.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 优化建模的优化建模
背景情况:
- 减少农业温室气体 (GHG) 排放对于可持续生产至关重要.
- 以前的作物结构优化模型在碳足迹评估和决策主观性方面遇到了困难.
- 在评估灌地区多种作物的时空碳足迹方面存在挑战.
研究的目的:
- 为优化作物结构开发一个综合的会计-评估-优化-决策 (AAODM) 方法.
- 为了解决减轻碳足迹的局限性,确定目标功能和选择实施选项.
- 为决策者提供有效的工具来减少农业碳足迹.
主要方法:
- 生命周期评估 (LCA) 用于多年,多作物碳足迹的核算.
- 非主导排序基因算法-II (NSGA-II) 用于生成最佳解决方案集.
- 决策方法 (和平均值和膝盖点) 用于选择特定的作物模式.
主要成果:
- 经济发展水平对灌区的农业碳足迹产生重大影响.
- 该AAODM方法成功地确定了最佳的作物种植模式.
- 与MOPSO相比,NSGA-II显示出更高的碳减排能力.
结论:
- 该AAODM方法有效优化作物结构,以减少温室气体排放.
- 经济发展水平的监管可以显著影响农业碳足迹.
- 开发的方法有助于农业系统实现低碳,高效的生产.
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