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一种进化的节方法来估计每日参考蒸发转化量

F Javier Ruiz-Ortega^1,2, Eddie Clemente³, Alicia Martínez-Rebollar⁴

¹TecNM/Cenidet, Interior Internado Palmira S/N, Col. Palmira, CP 62490, Cuernavaca, Morelos, Mexico. d20ce082@cenidet.tecnm.mx.

Scientific reports

|March 21, 2024

概括

一个新的模型使用常见的天气数据估计了参考蒸发透气 (ETo),其性能优于哈格里夫斯-萨马尼模型. 这种简化的方法可以在不同的气候中提供准确的ETO预测,而无需进行本地调整.

科学领域:

水文和水资源水文与水资源
农业气象农业气象学
环境建模环境建模

背景情况:

参考蒸发透气 (ETo) 对水文和生态过程至关重要.
准确的ETO估计对于水资源管理和农业规划至关重要.
现有的模型通常需要太阳辐射数据,限制了它们的适用性.

研究的目的:

开发一个明确的模型,仅使用相对湿度,空气温度和风速来估计ETO.
省略太阳辐射测量,以获得更容易使用的ETO估计方法.
创建适用于各种气候条件的通用ETO模型.

主要方法:

用基因编程 (GP) 来生成显式的ETO估计模型.
该模型经过训练和测试,使用来自不同气候 (温和温带,干旱温带) 和度的数据.
参考ETO数据使用FAO56-PM方法从美国和墨西哥的气象站获得.

主要成果:

开发的模型在培训 (平均27%) 和测试 (平均16%) 阶段显著超过了哈格里夫斯-萨马尼模型.
一般化模型在不同气候中表现出优异的性能,比哈格里夫斯-萨马尼的情况提高了17% (培训) 和18% (测试).
验证结果显示出明显的优势,温暖温带气候的改善率为51%,干旱热带气候的改善率为8%.

结论:

遗传编程为开发简化的ETO模型提供了一种有效和创新的方法.
新模型提供准确可靠的ETO估计,不需要太阳辐射数据或局部调整.
这种简化的ETO估计方法提高了在各种水文和农业环境中的适用性.

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