Interpretable residual-informed hybrid physics-informed machine learning framework for runoff prediction in a typical karst basin in southwest China

发表于 2026-7-31 11:49:10

期刊：Environmental Modelling & Software

文献作者：Chongxun Mo; Changhao Jiang; Jiameng Xu; Yi Huang; Gang Tang; Lingling Tang; Yugong Li

出版日期：2026-7-

DOI号：10.1016/j.envsoft.2026.106986

下载链接：https://www.sciencedirect.com/sc ... 364815226001337/pdf

文献链接：https://doi.org/10.1016/j.envsoft.2026.106986

当前文献来源于 Elsevier BV。

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[Elsevier/Sciencedirect] Interpretable residual-informed hybrid physics-informed machine learning framework for runoff prediction in a typical karst basin in southwest China

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