[HTML][HTML] Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches

R Dasgupta, S Das, G Banerjee, A Mazumdar - HydroResearch, 2024 - Elsevier
Understanding hydrological processes is achieved using modeling approaches due to the
extensive and complex interactions between various environmental elements. Hydrological …

[HTML][HTML] Using spot flow measurements in a regionalized hydrological model to improve the low flow statistical estimations of rivers: The case of Réunion Island

N Folton - Journal of Hydrology: Regional Studies, 2024 - Elsevier
Study region This study is based on 22 gauged sites and 26 poorly gauged sites on the
territory of Réunion Island, where quality hydrometric observations are available. Study …

Streamflow forecasting with deep learning models: A side-by-side comparison in Northwest Spain

JF Farfán-Durán, L Cea - Earth Science Informatics, 2024 - Springer
Accurate hourly streamflow prediction is crucial for managing water resources, particularly in
smaller basins with short response times. This study evaluates six deep learning (DL) …

Utilizing Machine Learning to Estimate Monthly Streamflow in Ungauged Basins of Thailand's Southern Basin

N Salaeh, P Ditthakit, S Pinthong… - … of the Earth, Parts A/B/C, 2024 - Elsevier
Predicting streamflow in ungauged basins is a challenging hydrological issue that requires
accurate estimation for effective water resource management. This article aims to evaluate …

Evaluation of regionalization parameters for stream flow prediction in ungauged catchments of Rift Valley Lakes Basin, Ethiopia

ZM Mada, AT Ayalew, AB Amsie, AG Azeref - Modeling Earth Systems and …, 2024 - Springer
Estimation of streamflow in ungauged catchments is receiving broad research attention for
water resources planning and management. Therefore, regionalization of model parameters …