[HTML][HTML] Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation

S Asadi, P Jimeno-Sáez, A López-Ballesteros… - Results in …, 2024 - Elsevier
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 …

An ensemble model for monthly runoff prediction using least squares support vector machine based on variational modal decomposition with dung beetle optimization …

D Xu, Z Li, W Wang - Journal of Hydrology, 2024 - Elsevier
In order to enhance the runoff prediction accuracy, an ensemble prediction model based on
least squares support vector machine (LSSVM) is proposed by including variational mode …

A comparison of the performance of SWAT and artificial intelligence models for monthly rainfall–runoff analysis in the Peddavagu River Basin, India

PR Shekar, A Mathew, A Pandey… - … , Ecosystems and Society, 2023 - iwaponline.com
Abstract Rainfall–runoff (R–R) analysis is essential for sustainable water resource
management. In the present study focusing on the Peddavagu River Basin, various …

Rainfall-Runoff modelling using SWAT and eight artificial intelligence models in the Murredu Watershed, India

PR Shekar, A Mathew, VP Gopi - Environmental Monitoring and …, 2023 - Springer
The growing concerns surrounding water supply, driven by factors such as population
growth and industrialization, have highlighted the need for accurate estimation of streamflow …

Changes of vegetational cover and the induced impacts on hydrological processes under climate change for a high-diversity watershed of south China

P Zhang, Y Cai, Y He, Y **e, X Zhang, Z Li - Journal of Environmental …, 2022 - Elsevier
Understanding the changes in hydrological process is a key subject for water resource
management of a high-diversity watershed. In this paper, through an establishment of a …

[HTML][HTML] Streamflow Prediction with Time-Lag-Informed Random Forest and Its Performance Compared to SWAT in Diverse Catchments

DM Moges, H Virro, A Kmoch, R Cibin, RAN Rohith… - Water, 2024 - mdpi.com
This study introduces a time-lag-informed Random Forest (RF) framework for streamflow
time-series prediction across diverse catchments and compares its results against SWAT …

SWAT and IHACRES models for the simulation of rainfall-runoff of Dez watershed

M Jaberzadeh, A Saremi, H Ghorbanizadeh Kharazi… - Climate Dynamics, 2024 - Springer
Due to the scarcity of meteorological observation stations in some areas, there is not enough
data available for hydrological simulation as one of the main subjects of hydrology and …

A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy

A Roy, KS Kasiviswanathan, S Patidar… - Water Resources …, 2023 - Wiley Online Library
Occurrences of extreme events, especially floods, have become more frequent and severe
in the recent past due to the global impacts of climate change. In this context, possibilities for …

Simulated annealing coupled with a Naive Bayes model and base flow separation for streamflow simulation in a snow dominated basin

H Tongal, MJ Booij - Stochastic Environmental Research and Risk …, 2023 - Springer
Streamflow simulation in a snow dominated basin is complex due to the presence of a high
number of interrelated hydrological processes. This complexity is affected by the delayed …

Hydrological simulation of Ammameh basin by artificial neural network and SWAT models

S Valeh, B Motamedvairi, H Kiadaliri… - … of the Earth, Parts A/B/C, 2021 - Elsevier
The rainfall-runoff simulation provides the basis for the hydrological and climate change
studies, and the climate studies are based on the rainfall-runoff simulation. In general, there …