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Journal of Hydrology
Scopus
ISSN 0022-1694 · Elsevier BV · 16 articles in the index
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Journal Article Full text
Improving streamflow prediction in the WRF-Hydro model with LSTM networks
Researchers have attempted to use machine learning algorithms to replace physically based models for streamflow prediction. Although existing studies have contributed to improving machine learning methods, they still have weaknesses, such as large dataset requirements and overfitting. Therefore, we…
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Journal Article Full text
A review of remote sensing applications for water security: Quantity, quality, and extremes
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Journal Article
Predicting flood susceptibility using LSTM neural networks
Identifying floods and producing flood susceptibility maps are crucial steps for decision-makers to prevent and manage disasters. Plenty of studies have used machine learning models to produce reliable susceptibility maps. Nevertheless, most research ignores the importance of developing appropriate…
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Journal Article Full text
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
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Journal Article Full text
Root zone soil moisture estimation with Random Forest
Accurate estimates of root zone soil moisture (RZSM) at relevant spatio-temporal scales are essential for many agricultural and hydrological applications. Applications of machine learning (ML) techniques to estimate root zone soil moisture are limited compared to commonly used process-based models…