使用改进后修改的普里斯特利-泰勒模型,更好地估计蒸发和透气,该模型基于在田中树叶衰老的新参数
Yujie Zhang1, Yansen Xu2, Jianghua Wu3
1Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
The Science of the total environment
|March 21, 2024
概括
这项研究通过将作物衰老与SPAD读数联系起来,提高了蒸发转化 (ET) 估计,为更广泛的农业应用改进了普里斯特利-泰勒模型.
科学领域:
- 农业科学 农业科学
- 水文学的水文学
- 植物生理学 植物生理学
背景情况:
- 蒸发透气 (ET) 对全球水,能源和碳循环至关重要,但直接测量是具有挑战性的.
- 现有的普里斯特利-泰勒 (PT) 模型在作物衰老参数化方面扎,限制了它们在各种品种和条件上的通用性.
研究的目的:
- 改进普里斯特利-泰勒 (PT) 模型的作物衰老参数 (fs) 以获得更准确的蒸发转化 (ET) 估计.
- 通过在自由空气度丰富 (FACE) 设施中使用来自大米品种的现场数据来验证增强模型.
主要方法:
- 修改了PT模型的fs参数,基于通过土壤植物分析发展 (SPAD) 值测量的叶绿素分解.
- 在两个生长季节使用能量平衡残余方法验证的ET和透气 (T) 估计.
主要成果:
- 基于SPAD的叶子衰老模拟证明是可行的,并且适用于不同的水品种.
- 改进的PT模型在估计ET和T方面显示出略有提高的准确性,特别是在生长季节的晚期.
- 观察到ET/T估计的更大改善与更高的耕地透气到蒸发透气 (T/ET) 比率.
结论:
- 增强的PT模型使用可访问的现场SPAD数据改进了ET和T估计.
- 这一进步为农业水资源管理提供了更强大的工具,并表明了更广泛的作物物种应用的潜力.
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