对实证和混合机器学习模型进行比较评估,以估计在亚湿和半干旱气候下每天的参考蒸发转化率

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Updated: Jun 1, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

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Siham Acharki1,2, Ali Raza3, Dinesh Kumar Vishwakarma4

  • 1Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaadi University, 93000, Tetouan, Morocco.

Scientific reports
|January 20, 2025
PubMed
概括

准确的参考蒸发透气 (RET) 估计对于水资源管理至关重要. 混合机器学习模型,如XGBoost-LightGBM,比传统方法显示出更高的准确性,特别是在有限的数据.

关键词:
粮农组织-56年曼-蒙蒂思模型混合动力模型 混合动力模型光梯度增强机器可以提高光梯度.参考蒸发透气的情况.亚湿地和半干旱地区.

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