Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters

Name: Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters
Creator: U.S. Environmental Protection Agency
Published: 2025-12-20T01:03:45+08:00

data.gov2025-12-20 收录

无测站流域水文模拟

水文参数区域化

数据链接：

https://catalog.data.gov/dataset/enhancing-hydrological-modeling-of-ungauged-watersheds-through-machine-learning-and-physic 数据链接链接失效反馈

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资源简介：

The study results and data used and produced in this study are available through the Texas Data Repository at https://doi.org/10.18738/T8/A9X5ET (Srinivasan et al.,...

本研究所使用及生成的研究成果与数据，可通过德克萨斯数据仓储（Texas Data Repository）获取，链接为https://doi.org/10.18738/T8/A9X5ET（Srinivasan等，...）

提供机构：

U.S. Environmental Protection Agency

Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters

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