Impacts of LULC changes on runoff from rivers through a coupled SWAT and BiLSTM model: A case study in Zhanghe River Basin, China

Liu, Jiawen; Zhang, Xianqi; Wu, Xiaoyan; Yang, Yang; Zheng, Yupeng

doi:10.1016/j.ecoinf.2024.102866

Ecological Informatics

2024

DOI: 10.1016/j.ecoinf.2024.102866

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Impacts of LULC changes on runoff from rivers through a coupled SWAT and BiLSTM model: A case study in Zhanghe River Basin, China

Jiawen Liu,

Xianqi Zhang,

Xiaoyan Wu

et al.

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Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions

Wu,

Dong,

Guzmán

et al. 2024

Ecological Informatics

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Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions

Wu,

Dong,

Guzmán

et al. 2024

Ecological Informatics

View full text Add to dashboard Cite

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Impacts of LULC changes on runoff from rivers through a coupled SWAT and BiLSTM model: A case study in Zhanghe River Basin, China

Cited by 1 publication

References 47 publications

Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions

Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions

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