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Updated: Jan 17, 2026

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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在数据稀缺的干旱地区进行实际蒸发透气估计的新型混合模型:使用深度学习集成经过修改的Budyko和机器学习模型

Mahdi Mohammadnezhad1, Kamran Davary1, Pooya Shirazi1

  • 1Water Science and Engineering Department, College of Agriculture, Ferdowsi University of Mashhad, P. O. Box: 9177948974, Mashhad, Iran.

The Science of the total environment
|September 18, 2025
PubMed
概括

这项研究引入了一种混合模型,将Budyko框架与XGBoost机器学习结合起来,以准确估计实际蒸发转化 (ETa). 这种新的方法显著改善了数据稀缺地区的水资源管理.

关键词:
实际的蒸发透气.中央山谷的中央山谷气候数据稀缺性 气候数据稀缺性厄迪的协变性塔楼.混合动力模型 混合动力模型机器学习模型的机器学习模型修改过的布迪科模型

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