Latest Research in Hydrology and Watershed Management Studies

Top Research Topics in Hydrology and Watershed Management Studies

• Climate variability and models — 10 papers
• Hydrology and Watershed Management Studies — 10 papers
• Hydrological Forecasting Using AI — 7 papers
• Precipitation Measurement and Analysis — 6 papers
• Flood Risk Assessment and Management — 5 papers
• Machine Learning — 4 papers
• Landslides and related hazards — 2 papers
• Hydraulic flow and structures — 1 papers
• Cryospheric studies and observations — 1 papers
• Dam Engineering and Safety — 1 papers

Highest-Cited Papers

1. Investigating Climate Change Impacts on the 2020 Extreme Meiyu Through Global Variable‐Resolution Ensemble Subseasonal Hindcasts (1 citations)
2. Aftermath of rebuilding low-head dams in river basins: hydraulic study of two rivers located in the northern and western hydrological regions of Estonia
3. The 2025–2026 Iberian Atmospheric Rivers Exhibited Moisture Transport Resembling the Early SSP5‐8.5 Climate Response
4. Near‐Surface Atmospheric Pressure Trends and Their Relationship to Temperature Over China (1961–2023)
5. Undercatch corrected gridded precipitation data to improve hydrological modeling in high-alpine orography
6. Integrated monitoring models for dam health and safety: A review of methods and considerations
7. An Interpretable Gated Convolutional Transformer Optimized by an Improved Black Kite Algorithm for Runoff Prediction
8. Multi-Scale Validation of Satellite-Based Precipitation Products and Their Impacts on Hydrological Simulation in a Humid Mountainous Basin
9. Non-Autoregressive Machine Learning for Spring Discharge Forecasting: A Bias-Corrected CNN–LSTM Approach
10. A robust forward-chain approach for ex-post and ex-ante seasonal river water-quality forecasting using remote sensing and hydroclimate forecast datasets
11. The Characteristics of Flood‐Drought Abrupt Alternation in North China During Midsummer and Its Response to Atlantic Sea Surface Temperature
12. A Dataset and Model for Imputing Water Surface Elevation on a Large and Extremely Sparse Spatiotemporal Graph
13. Soil Moisture, Not Daily Rainfall, Marks the Location of Monsoon Road-Landslide Closures in Uttarakhand: A Low-Cost, Reproducible Validation Using Government Road-Closure Records
14. TCN-CMA-ES; a novel flood routing approach integrating temporal convolutional networks (TCNs) with covariance matrix adaptation evolution strategy (CMA-ES)
15. Coupling SWAT with recurrent and convolutional deep learning architectures for catchment-scale streamflow simulation and interpretability in the Upper Blue Nile River Basin
16. A Hierarchical Artificial Intelligence Framework for the Inverse Calibration of Spatially Distributed Manning’s Roughness Coefficients in HEC-RAS Models
17. Learning Intrinsic Water-Quality Dynamics with Rainfall for Data-Driven Forecasting
18. Predicting streamflow in heavily regulated plain river networks using physics-guided spatiotemporal deep learning models: A case study of the Four Lakes Basin
19. A hybrid FEDformer-LSTM model for accurate multi-step ahead river streamflow forecasting
20. Streamflow Prediction in Snow-Dominated Semiarid Watersheds Using a Cascade-Forward Deep Learning Approach