[HTML][HTML] Enhancing sediment transport predictions through machine learning-based multi-scenario regression models
Abstract Machine learning is one effective way of increasing the accuracy of sediment
transport models. Machine learning captures patterns in the sequence of both structured and …
transport models. Machine learning captures patterns in the sequence of both structured and …
Disaggregated monthly SWAT+ model versus daily SWAT+ model for estimating environmental flows in Peninsular Spain
G Castellanos-Osorio, A López-Ballesteros… - Journal of …, 2023 - Elsevier
Abstract The Water Framework Directive requires all water bodies in EU countries to ensure
the ecological integrity of freshwater ecosystems in all water bodies. A “good” status in water …
the ecological integrity of freshwater ecosystems in all water bodies. A “good” status in water …
Exploring random forest machine learning and remote sensing data for streamflow prediction: An alternative approach to a process-based hydrologic modeling in a …
Physically based hydrologic models require significant effort and extensive information for
development, calibration, and validation. The study explored the use of the random forest …
development, calibration, and validation. The study explored the use of the random forest …
[HTML][HTML] Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation
Precise streamflow forecasting in river systems is crucial for water resources management
and flood risk assessment. The Tagus Headwaters River Basin (THRB) in Spain is a key …
and flood risk assessment. The Tagus Headwaters River Basin (THRB) in Spain is a key …
[HTML][HTML] Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization
Z Zhang, Q Wang, Q Guan, X ** with …
Evaluation of best management practices to reduce sediment yield in the upper Gilo watershed, Baro akobo basin, Ethiopia using SWAT
TS Bibi, EA Adem - Heliyon, 2023 - cell.com
The increasing sediment yield in the watershed is caused by natural and human activities,
which significantly shifts the hydro-meteorological in the watershed. The Modified Universal …
which significantly shifts the hydro-meteorological in the watershed. The Modified Universal …
Prediction of monthly precipitation using various artificial models and comparison with mathematical models
This study evaluates the applicability of multicriteria decision-making (MCDM) methods,
including SAW, VIKOR, TOPSIS, and Condorcet algorithm based on game theory and …
including SAW, VIKOR, TOPSIS, and Condorcet algorithm based on game theory and …
Comparison of multi-objective evolutionary algorithms applied to watershed management problem
S Wang, Y Wang, Y Wang, Z Wang - Journal of environmental management, 2022 - Elsevier
Simulation-based optimization (S–O) frameworks are effective in develo** cost-effective
watershed management strategies, where optimization algorithms have substantial effect on …
watershed management strategies, where optimization algorithms have substantial effect on …