实地作物用水量估计显示,加利福尼亚州的农业可能节水
Anna Boser1, Kelly Caylor2,3, Ashley Larsen2
1Bren School of Environmental Science and Management, UC Santa Barbara, 2400 Bren Hall, Santa Barbara, 93106, CA, USA. annaboser@ucsb.edu.
Nature communications
|March 26, 2024
概括
使用遥感和机器学习开发现场规模的作物水地图,揭示了加利福尼亚州灌用水节约的巨大潜力. 战略包括转向低水位作物和提高灌效率,这对未来的粮食安全至关重要.
科学领域:
- 农业科学 农业科学
- 水文学的水文学
- 遥感 遥感 遥感 遥感
背景情况:
- 有效的农业灌对于粮食安全至关重要,特别是随着气候变化.
- 评估灌的水文影响是困难的,因为有限的田间规模作物用水消耗数据.
研究的目的:
- 开发一种用于生成田间规模作物用水消耗地图的新方法.
- 使用这些地图,评估加利福尼亚州中央山谷的节水策略.
主要方法:
- 利用遥感和机器学习创建详细的作物用水量数据.
- 通过土地覆盖变化 (作物类型) 和灌效率改进,分析了节水潜力.
主要成果:
- 转向不太用水的作物可以减少高达93%的消耗.
- 加利福尼亚州北部的县份的灌效率低于南部的县份.
- 非土地覆盖改变的做法可以节省高达11%的水.
结论:
- 农作物用水消耗的地图绘制为水资源管理提供了一个强大的工具.
- 多种战略,包括作物多样化和效率提升,是农业可持续用水的关键.
- 这些发现适用于指导加利福尼亚州和其他面临类似挑战的地区的水资源管理.
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