Results 21 to 30 of about 112 (95)

Improving Streamflow Predictions in the Arid Southwestern United States Through Understanding of Baseflow Generation Mechanisms

Water Resources Research, Volume 61, Issue 10, October 2025.
Abstract Understanding the factors controlling baseflow (groundwater discharge) is critical for improving streamflow predictions in the arid southwestern United States. We used an enhanced version of the Noah‐MP land surface model with advanced hydrological process options and the Routing Application for Parallel computation of Discharge (RAPID) to ...
Mohammad A. Farmani, Ahmad Tavakoly, Ali Behrangi, Yuan Qiu, Aniket Gupta, Muhammad Jawad, Hossein Yousefi Sohi, Xueyan Zhang, Matthew Geheran, Guo‐Yue Niu   +9 more
wiley   +1 more source

Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations With Differentiable Programming

Water Resources Research, Volume 61, Issue 9, September 2025.
Abstract Shallow water equations (SWEs) are the backbone of most hydrodynamics models for flood prediction, river engineering, and many other water resources applications. The estimation of flow resistance, that is, the Manning's roughness coefficient n $n$, is crucial for ensuring model accuracy, and has been previously determined using empirical ...
Xiaofeng Liu, Yalan Song
wiley   +1 more source

Accelerating River Discharge in High Mountain Asia

AGU Advances, Volume 6, Issue 4, August 2025.
Abstract High Mountain Asia (HMA) plays a crucial role in Asian hydrology—its vast snow and glacier‐covered landscape significantly influences downstream river water supply for billions of people. Understanding the spatiotemporal pattern of river discharge in HMA aids effective water resource management and infrastructure planning.
J. A. Flores, C. J. Gleason, C. Brown, N. Vergopolan, M. M. Lummus, L. A. Stearns, D. Li, L. C. Andrews, D. Basnyat, C. B. Brinkerhoff, R. Ducusin, D. Feng, E. Friedmann, X. He, M. Girotto, S. V. Kumar, R. B. Lammers, G. Lamsal, F. Z. Maina, A. R. McLarty, A. A. Proussevitch, E. Shevliakova, D. Subedi, J. Wang   +23 more
wiley   +1 more source

Modeling Celerity‐Discharge Behavior and Riverbank Storage for Improving Flood Simulations in Headwater Basins

Water Resources Research, Volume 61, Issue 8, August 2025.
Abstract Quantitative precipitation estimation (QPE) has been an enduring challenge especially in mountainous regions due to high spatiotemporal variability of precipitation. Because of QPE uncertainty, and fast rainfall‐runoff processes in complex terrain, improvements in flood modeling through calibration of hydrologic model parameters remain elusive.
Mochi Liao, Ana P. Barros
wiley   +1 more source

Enhancement of Sediment Routing Method of SWAT Model Considering Sediment Occurrence Trends of Rise and Fall of Streamflow

JAWRA Journal of the American Water Resources Association, Volume 61, Issue 4, August 2025.
ABSTRACT Accurate quantification of sediment occurrence in river basins is essential for establishing sediment management strategies. This study enhanced the simplified Bagnold method within the SWAT model to enhance simulation of sediment dynamics due to the rise and fall of streamflow.
Sangjoon Bak, Seoro Lee, Jeongho Han, Yeonji Jeong, Yonghun Choi, Gwanjae Lee, Bernard A. Engel, Kyoung Jae Lim   +7 more
wiley   +1 more source

A novel approach for the computation of soil slope stability in distributed hydrologic applications

Earth Surface Processes and Landforms, Volume 50, Issue 9, July 2025.
This paper introduces a novel methodology for the computation of slope stability at catchment scale, coupled with a hydrological model. The method improves the existing Janbu’s method of slices: a series of benchmarks are provided in order to prove that the proposed methodology outperforms the widely used Infinite Slope model.
Riccardo Bonomelli, Marco Pilotti, Luca Piciullo   +2 more
wiley   +1 more source

ON PROBLEMS AND SOLUTIONS OF THE MUSKINGUM-CUNGE ROUTING METHOD APPLIED TO A DISTRIBUTED RAINFALL RUNOFF MODEL

PROCEEDINGS OF HYDRAULIC ENGINEERING, 2000
In hydrological rainfall runoff simulation, flow routing is one of the most important components. The Muskingum-Cunge routing method is widely used since it is not only conceptually simple, easy to code and efficient to compute, but also has a firm hydraulic basis.
AO, Tianqi, TAKEUCHI, Kuniyoshi, ISHIDAIRA, Hiroshi   +2 more
openaire   +2 more sources

Evaluating Watershed Response Using WEPPcloud—EU for Wildfire Burned Areas in Portugal

Hydrological Processes, Volume 39, Issue 7, July 2025.
We tested WEPPcloud—European Union (EU) model on two burned catchments in Portugal, revealing the importance of local data for accurate simulation. Incorporating national and catchment‐specific data decreased equifinality and simplified model calibration.
Marta Basso, Erin Brooks, Anurag Srivastava, Jacob Keizer, R. Peter Robichaud   +4 more
wiley   +1 more source

STUDY OF DISTRIBUTED RUNOFF SIMULATION MODEL BASED ON BLOCK TYPE TOPMODEL AND MUSKINGUM-CUNGE METHOD

PROCEEDINGS OF HYDRAULIC ENGINEERING, 1999
The TOPMODEL is a physically based variable contributing area model of basin hydrology. It has two distinct advantages to be applied in developing areas with little hydrological observations. One is that it has both advantages of lumped model and distributed model, i.
AO, Tianqi, ISHIDAIRA, Hiroshi, TAKEUCHI, Kuniyoshi   +2 more
openaire   +2 more sources

A Novel Stream Network Upscaling Scheme for Accurate Local Streamflow Simulations in Gridded Global Hydrological Models

Water Resources Research, Volume 61, Issue 6, June 2025.
Abstract Large‐scale hydrological models are progressing toward sub‐kilometer resolutions to achieve “locally relevant hydrological simulations.” However, grid‐based domain representations introduce significant errors in streamflow within small catchments, a challenge that remains unresolved by state‐of‐the‐art modeling schemes, such as 8‐directional ...
P. K. Shrestha, L. Samaniego, O. Rakovec, R. Kumar, S. Thober   +4 more
wiley   +1 more source