Results 61 to 70 of about 215 (134)

Future Climate Change Impacts on Streamflows of Two Main West Africa River Basins: Senegal and Gambia

Hydrology, 2018
This research investigated the effect of climate change on the two main river basins of Senegal in West Africa: the Senegal and Gambia River Basins.
Ansoumana Bodian, Alain Dezetter, Lamine Diop, Abdoulaye Deme, Koffi Djaman, Aliou Diop   +5 more
doaj   +1 more source

Can Conceptual Rainfall‐Runoff Models Capture Multi‐Annual Storage Dynamics?

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Conceptual rainfall‐runoff models are widely used for hydrological applications, yet many fail to capture multi‐annual storage dynamics that are critical during prolonged droughts or shifting climate conditions. This study investigates whether specific structural components enable models to represent such long‐term behavior.
Ziqi Zhang, Keirnan Fowler, Murray Peel
wiley   +1 more source

Harnessing Data for Flood Prediction: A Systematic Review of Forecasting Techniques and Information Sources

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Flood forecasting has undergone significant development over the past two decades, with researchers exploring a range of innovative approaches to quantify both the hazards and risks associated with flood events across a range of magnitudes and frequencies.
Amirali Davary, Pete Melville‐Shreeve, Richard Brazier, Albert S. Chen   +3 more
wiley   +1 more source

Assessment of current and future trends in water resources in the Gambia River Basin in a context of climate change

Environmental Sciences Europe
Accurate assessment of water resources at the watershed level is crucial for effective integrated watershed management. While semi-distributed/distributed models require complex structures and large amounts of input data, conceptual models have gained ...
Serigne Mory Khouma Séne, Cheikh Faye, Chaitanya B. Pande   +2 more
doaj   +1 more source

Evaluating Multi‐Model and Multi‐Metric Approaches to Low‐Flow Simulation in Irish Catchments

Hydrological Processes, Volume 40, Issue 2, February 2026.
Daily streamflow from 125 catchments was simulated using 47 conceptual models available in MARRMoT framework. The models were calibrated using two objective functions (log NSE and inverse KGE) focusing low flows. Model performances and choice of objective function were assessed against 18 catchment characteristics. ABSTRACT Climate change has increased
Sri Gowthami Vengana, Salman Khan, Fiachra E. O'Loughlin   +2 more
wiley   +1 more source

A comparative assessment of cluster-based regionalization approaches using conceptual rainfall–runoff models

Scientific Reports
Accurate streamflow prediction in ungauged catchments remains a central challenge in hydrology. We investigated the utility of regionalization methods to explore how hydrologically informed clustering influences parameter transferability and performance ...
Jamal Hassan Ougahi, John S. Rowan
doaj   +1 more source

Flood Modeling using SWAT and GR4J Models in the Oti River Basin in Togo (West Africa)

World Journal of Advanced Research and Reviews
The Earth's climate evolution over the past few decades has been marked by global warming, leading to hydroclimatic variability and impacting water resource availability. Hydrological modeling has become a solution for reproducing river flows and is an essential tool for understanding watershed dynamics and mitigating natural disasters related to ...
Dambré, Koungbanane, Faya, Lemou, Domiho, Kodja Japhet, Sourou, Totin Vodounon Henri, Ernest, Amoussou   +4 more
openaire   +2 more sources

Calibrating the Rainfall-Runoff Model GR4J and GR2M on the Koulountou River Basin, a Tributary of the Gambia River [PDF]

American Journal of Environmental Protection, 2014
Rainfall runoff modelling is the first step in water resources management. It is the only way to simulate the hydrological behavior of the basin for a good evaluation of the potentiality of this in term of water production. Many approaches are actually in use.
openaire   +1 more source

Regionalization of a Distributed Hydrology Model Using Random Forest

Hydrological Processes, Volume 40, Issue 2, February 2026.
Distribution of model parameters appoximated by Random Forest at different spatio‐temporal scales. ABSTRACT This study employs a Random Forest machine learning model in conjunction with a process‐based hydrological model for streamflow regionalisation.
Siavash Pouryousefi Markhali, Marie‐Amélie Boucher, Annie Poulin, Mehrad Rahimpour Asenjan, Frédéric Talbot, Richard Arsenault   +5 more
wiley   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet, Victor Pellet, Satoru Oishi, Takemasa Miyoshi   +3 more
wiley   +1 more source