Streamflow Prediction in Human‐Regulated Catchments Using Multiscale Deep Learning Modeling With Anthropogenic Similarities

Streamflow Prediction in Human‐Regulated Catchments Using Multiscale Deep Learning Modeling With Anthropogenic Similarities

Abstract Accurate streamflow prediction in human‐regulated catchments remains a formidable challenge due to the complex disturbance of hydrological processes. To consider human disturbance in hydrological modeling, this study introduces a novel static attribute collection that combines river‐reach a...

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Bibliographic Details
Main Authors: Arken Tursun, Xianhong Xie, Yibing Wang, Dawei Peng, Yao Liu, Buyun Zheng, Xinran Wu, Cong Nie
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:Water Resources Research
Subjects:
human‐regulated catchment
LSTM
DPL
multiscale attribute
anthropogenic similarities
SWORD
Online Access:https://doi.org/10.1029/2023WR036853
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https://doi.org/10.1029/2023WR036853

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