使用WinSRFR软件优化道灌性能,通过实地实验和太阳花种植模拟进行太阳花种植
Ajita Gupta1, K V Ramana Rao2, Yogesh A Rajwade2
1ICAR-Indian Agricultural Research Institute, Outreach Campus, ICAR-CIAE, Bhopal, India. ajitagupta2012@gmail.com.
Scientific reports
|September 30, 2025
概括
在印度,使用模拟软件优化太阳花灌,采用特定参数的替代灌 (AFI) 实现了87%的应用效率,与连续灌 (CFI) 相比,显著减少了水损失.
科学领域:
- 农业工程 农业工程
- 灌科学 灌科学
- 水资源管理 水资源管理
背景情况:
- 在印度普遍存在的表面灌,由于深层透和水分布不均,限制了其效率.
- 太阳花种植是一个关键的农业实践,但在灌中利用水的效率仍然是一个挑战.
研究的目的:
- 评估和优化印度向日种植的灌方法.
- 通过最大限度地减少深层透和改善水分分配均性来提高水的生产力.
主要方法:
- 使用了WinSRFR模拟软件来建模连续灌 (CFI) 和替代灌 (AFI).
- 校准模型使用透,前进/衰退时间和土壤湿度的现场数据.
- 在不同作物生长阶段测试了各种长 (45-65米) 和流入率 (1.0-2.0lps).
主要成果:
- 换灌 (AFI) 使用65米的长和1.0lps的流量,实现了87%的应用效率 (AE) 和91%的分布均性 (DU).
- 优化AFI的结果仅为15%的深度透 (DP),远低于CFI (71%的AE在最佳条件下).
- 模型验证显示了高精度 (R2>0.93) 和跨季节的稳定性.
结论:
- 替代灌 (AFI) 是向日种植的优越方法,可大幅提高用水效率.
- 使用WinSRFR的模拟辅助规划为优化印度农业灌提供了实用,可扩展的建议.
- 输入速率和切断时间是最大化灌性能的关键参数.
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