Results 11 to 20 of about 112 (95)

O modelo Muskingum-Cunge-Todini em rios com planície de inundação [PDF]

Revista Brasileira de Recursos Hídricos, 2015
This paper is the second of two papers in a series which analyzes and improves the Muskingum-Cunge-Todini (MCT) model. In the first paper the simplified stream flow model and HEC-RAS are compared. The volume error was analyzed. The current paper presents a modification in the MCT model to account for the flow in floodplain rivers, whose velocity in ...
Pontes, Paulo Rógenes Monteiro, Collischonn, Walter   +1 more
openaire   +2 more sources

A Graph‐Based Deep Learning Approach for Daily Flash Flood Susceptibility Modeling in China

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Flash floods are sudden flood events triggered by intense rainfall, and often exacerbated by mountainous terrain that accelerates surface runoff. To support disaster mitigation and management, deep learning (DL) models have been widely applied to flash flood susceptibility (FFS) modeling. However, traditional deep learning (DL) models overlook
Jun Liu, Gang Zhao, Junnan Xiong, Tsuyoshi Kinouchi   +3 more
wiley   +1 more source

Evaluation of Atmospheric Models Over Mountainous Regions Using a Parsimonious Network Routing Model and Streamflow Observations: A Case Study of the Yarlung Zangbo River on the Tibetan Plateau

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Evaluating kilometer‐scale atmospheric models in data‐sparse mountains is challenging because in situ meteorological observations are scarce and remote‐sensing products are uncertain. Using hydrological models to link atmospheric model‐simulated precipitation to streamflow is equally problematic, because those models carry substantial ...
Heng Yang, Shuanglong Chen, Qingyun Bian, Hui Zheng   +3 more
wiley   +1 more source

Simulated Hydrologic Impacts of Cloud Seeding in the North Platte and Little Snake River Basins of Wyoming

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract In the western United States, the recent mega‐drought and impacts of climate change have resulted in an interest in cloud seeding to enhance water supplies. Studies and field campaigns focused on cloud seeding across the West have quantified the effect on precipitation generation through the release of silver iodide, and these effects can be ...
Erin M. Dougherty, David Gochis, Michelle Harrold, Sarah A. Tessendorf, Lulin Xue, Jamie Wolff, Bart Geerts   +6 more
wiley   +1 more source

Estimation of the interaction between groundwater and surface water based on the flow routing using an improved nonlinear Muskingum-Cunge method

Water Resources Management, 2021
Abstract The interaction of groundwater (GW) and surface water (SW) not only sustains the runoff in dry seasons, but also plays an important role in regulating aquatic ecosystems. Hydrological engineers proposed the idea of modeling flood routing using the Muskingum-Cunge method.
Chengpeng Lu, Keyan Ji, Wanjie Wang, Yong Zhang, Tema Koketso Ealotswe, Wei Qin, Jiayun Lu, Bo Liu, Longcang Shu   +8 more
openaire   +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

The NextGen Water Resources Modeling Framework: Community Innovation at the Intersection of Hydrologic, Data and Computer Sciences

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT Hydrologic science lacks a comprehensive theory of stormflow generation, preventing the development of a general hydrologic model. Studies show that models focusing on dominant local processes often outperform general models that rely on parameter tuning, leading to higher confidence solutions.
Fred L. Ogden, Keith Jennings, Edward P. Clark, Ethan Coon, Brian Cosgrove, Luciana Kindl da Cunha, Matthew W. Farthing, Trey Flowers, Jonathan M. Frame, Nels J. Frazier, Jessica L. Garrett, Thomas M. Graziano, Joseph D. Hughes, J. Michael Johnson, Rachel McDaniel, J. David Moulton, Scott D. Peckham, Fernando R. Salas, Gaurav Savant, Roland Viger, Andy Wood   +20 more
wiley   +1 more source

RiscBal, an Innovation Ecosystem Co‐Created From Physical Geography Research and Public Emergency Management in a Mediterranean Flood‐Prone Region

Journal of Flood Risk Management, Volume 18, Issue 4, December 2025.
ABSTRACT Flood events are the most common weather‐related hazard in Europe and Spain, comprising 41% of such events between 2001 and 2020. Mediterranean catchments, with steep slopes and short river courses, are particularly vulnerable to intense convective rainfall, often triggering flash floods.
Joan Estrany, Josep Fortesa, Miquel Tomàs‐Burguera, Julián García‐Comendador, Francisco J. Vallés‐Morán, Alexandre Moragues, Josué Diaz, Jaume Company, Francesc Cuello‐Llobell, Miquel Mir‐Gual, Margalida Ribas, Jordi Cloquell, Miquel Llompart, Beatriz Nácher, Jaume Ordinas, Bartomeu Ramis, Marta Rodríguez, Antoni Bernat, Joan Pol, Maurici Ruiz‐Pérez   +19 more
wiley   +1 more source

A Process Based Modeling Approach to Assess Temperature Impacts of Riparian Vegetation Management in a Southwestern Wisconsin Trout Stream

River Research and Applications, Volume 41, Issue 8, Page 1749-1765, October 2025.
ABSTRACT Rising water temperatures driven by climate change threaten culturally and economically important salmonid fisheries throughout the Upper Midwest. Unsuitable thermal regimes degrade the effectiveness of habitat restoration projects in the region, thus strategies for mitigating peak summer stream temperatures are of interest to state and non ...
Ben Sellers, Eric Booth, Caroline Gottschalk   +2 more
wiley   +1 more source

Sequential Precipitation Input Tagging (SPIT) to Estimate Water Transit Times and Hydrologic Tracer Dynamics Within Water‐Tagging Enabled Hydrologic Models

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 10, October 2025.
Abstract Determining the age distribution of water exiting a catchment is important for understanding groundwater storage and mixing. New water‐tagging capabilities within models track precipitation events as they move through simulated storages, yet forward modeling of individual events may not systematically capture the full transit time distribution
Zachariah Butler, Stephen Good, Huancui Hu, Xingyuan Chen, Aubrey Dugger   +4 more
wiley   +1 more source