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DROP应用:一个水气候信息服务,提供科学降雨量,局部降雨量和土壤湿度预测,用于农业决策
Samuel Jonson Sutanto1, Spyridon Paparrizos1, Lisanne Nauta1
1Earth Systems and Global Change Group, Wageningen University and Research, Droevendaalsesteeg 3, Wageningen, 6708 PB, the Netherlands.
Heliyon
|March 7, 2025
概括
DROP应用程序集成了科学和当地降雨预测,供农民使用. 虽然混合预报显示了高降雨检测,但该应用程序为气候智能农业和改进农场管理提供了可操作的知识.
科学领域:
- 农业气象 农业气象学
- 气候服务 气候服务
- 土著知识系统土著知识系统
背景情况:
- 传统的农业天气和气候服务往往缺乏当地预报和土壤湿度数据.
- 在雨水农业环境中的小农需要综合的水气候信息来有效地做出决策.
研究的目的:
- 评估DROP应用程序的实施和有效性,一个水气候信息服务.
- 评估当地 (LF) 和科学降雨预测 (SF) 对于加纳北部的雨水农业的整合.
主要方法:
- 该研究涉及与小农共同设计和实施DROP应用程序.
- 预测绩效使用诸如检测概率 (POD) 等指标进行评估.
- 记录了农民采用和使用预测信息来调整农业活动.
主要成果:
- 当地预报 (LF) 显示,降雨检测的概率很高 (POD ≥0.7).
- 综合SF和LF的混合预报 (HF) 实现了最高的POD (0.9),但也有更多的错误报警.
- 农民利用该应用程序的预测来调整播种,种植,除草,肥料,除草剂和收获时间.
结论:
- DROP应用程序显示了为气候智能农场决策提供可操作知识的潜力.
- 地方和科学预测的整合可以提高农业管理,尽管存在虚假警报的挑战.
- 该应用程序为面临气候变化的小农提供了有效的适应策略.
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