在俄克拉荷马州使用大数据和AquaCrop-OS进行冬季小麦干旱应对评估
Ali Ajaz1, Saleh Taghvaeian2, Romulo Lollato3
1Lindsay Irrigation Solutions, Lindsay Corporation, Omaha, NE 68022, USA.
The Science of the total environment
|December 25, 2024
概括
干旱显著影响了俄克拉荷马州冬季小麦产量,模拟显示产量减少和变化增加,特别是在潘汉德尔地区. 这项研究强调了小麦.
科学领域:
- 农业科学 农业科学
- 气候科学 气候科学
- 农业学是一种农业学.
背景情况:
- 冬季小麦是俄克拉荷马州的重要作物,对该地区的农业经济至关重要.
- 在俄克拉荷马州,频繁的干旱对冬季小麦的生产和稳定性构成重大威胁.
研究的目的:
- 为了评估干旱对模拟干旱地区冬季小麦产量的影响,整个俄克拉荷马州.
- 用网格模拟方法分析产量变化和干旱敏感性.
主要方法:
- 在长期 (30年) 模拟中使用了AquaCrop开源 (AquaCrop-OS) 模型.
- 采用了横跨3281个网格的网格方法,代表了俄克拉荷马州的冬季小麦带.
- 与干旱指数 (SPEI,Z指数,PDSI) 相关的模拟产量和分析的产量变化 (CV).
主要成果:
- 模拟的干旱地区冬季小麦产量 (Ysd) 平均在0.9~7.1Mg ha-1.1之间.
- 由于降水和温度压力,Panhandle地区的收益率变化 (CV) 是最高的.
- Ysd和干旱指数之间的最强的相关性发生在3月至5月期间,这表明了关键的水应激敏感性.
结论:
- 干旱严重影响俄克拉荷马州的冬季小麦产量和稳定性,敏感度在区域有所不同.
- 供水量有限的电网显示出更低的产量和更高的可变性.
- 西中区在各种干旱期间对冬季小麦的干旱敏感度最高.
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