Predicting Ili River streamflow change and identifying the major drivers with a novel hybrid model-Reference-Cited by-同舟云学术

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Predicting Ili River streamflow change and identifying the major drivers with a novel hybrid model

Published:2024-06 Issue: Volume:53 Page:101807
ISSN:2214-5818
Container-title:Journal of Hydrology: Regional Studies
language:en
Short-container-title:Journal of Hydrology: Regional Studies

Author:

Liu Shuang,Long Aihua,Yan Denghua,Luo Geping,Wang Hao

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference68 articles.

1. Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling;Anderson;Hydrol. Earth Syst. Sci.,2022

2. Runoff response of a small agricultural basin in the argentine Pampas considering connectivity aspects;Ares;Hydrol. Process.,2020

3. A random forest guided tour;Biau;Test,2016

4. Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components;Bjarke;Sci. Data,2023

5. Random forests;Breiman;Mach. Learn.,2001

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