利用GIS和LCA优化雨水作物模式,以实现伊朗东洛里斯坦的经济和环境可持续性
Zahra Marzban1, Mohamamd Reza Asgharipour2
1Unit of Agroecology, Department of Agronomy, Faculty of Agriculture, University of Zabol, Zabol, Iran.
Scientific reports
|July 1, 2025
概括
这项研究通过整合生命周期评估 (LCA) 和多目标规划 (MOP) 来优化伊朗的雨水农业. 推的作物模式显著提高了净利,减少了对环境的影响,促进了可持续的农业实践.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 环境管理环境管理
背景情况:
- 由于依赖不可再生能源和污染,伊朗农业面临着不稳定的局面.
- 不可持续的做法威胁着雨水养殖系统的经济可行性和环境健康.
研究的目的:
- 为伊朗东洛里斯坦省的雨水农业推一种可持续的作物模式.
- 为了平衡经济目标 (净利) 与环境可持续性目标.
主要方法:
- 生命周期评估 (LCA),多目标编程 (MOP) 和地理信息系统 (GIS) 的整合.
- 空间设计包括土地适合性评估,以实现最佳的作物分配.
- 对拟议模式与当前农业场景进行比较分析.
主要成果:
- 这种MOP种植模式减少了全球变暖潜力5980公斤的二氧化碳等价物.
- 净利增加了203,000美元,人类健康影响减少了9%,生态系统质量影响减少了11%.
- 土地适用性分析确定了多鲁德和阿利古达兹的特定区域,分别适用于多种和中等作物的作物.
结论:
- 将环境考虑纳入农业规划对于可持续区域发展至关重要.
- 拟议的MOP方法为优化种植模式和最大限度地减少环境足迹提供了一个可行的策略.
- 调查结果为政策制定者和农业从业人员提供了可操作的见解,以提高雨水农业的可持续性.
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