Results 31 to 40 of about 112 (95)

James Buttle Review: Bed, Banks and Beyond: River Flood Dynamics

Hydrological Processes, Volume 39, Issue 4, April 2025.
Primary influences on peak flow dynamics at different spatial scales. ABSTRACT Floods are amplified and attenuated by features and processes across spatial scales, defined here as flood dynamics. We review and synthesise these influences at the catchment, river network and reach scales as a means of integrating understanding of controls on flood ...
Ellen Wohl, Julianne Scamardo, Ryan R. Morrison   +2 more
wiley   +1 more source

Identifying Hydraulically Distinct Floodplain Types From High Resolution Topography With Implications for Broad‐Scale Flood Routing

Journal of Geophysical Research: Earth Surface, Volume 130, Issue 4, April 2025.
Abstract Floodplains can significantly impact the routing of flood waves across the landscape, however, their representation in broad‐scale water resource and flood prediction models is limited. To identify hydraulically relevant floodplains at scale, we developed a workflow to automatically extract reach‐averaged topographic features from high ...
Rebecca M. Diehl, Kenneth S. Lawson, Kristen L. Underwood, Julianne E. Scamardo, Patrick J. Clemins, Beverley C. Wemple   +5 more
wiley   +1 more source

High‐Resolution National‐Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics‐Informed Machine Learning

Water Resources Research, Volume 61, Issue 4, April 2025.
Abstract The National Water Model (NWM) is a key tool for flood forecasting, planning, and water management. Key challenges facing the NWM include calibration and parameter regionalization when confronted with big data. We present two novel versions of high‐resolution (∼37 km2) differentiable models (a type of hybrid model): one with implicit, unit ...
Yalan Song, Tadd Bindas, Chaopeng Shen, Haoyu Ji, Wouter J. M. Knoben, Leo Lonzarich, Martyn P. Clark, Jiangtao Liu, Katie van Werkhoven, Sam Lamont, Matthew Denno, Ming Pan, Yuan Yang, Jeremy Rapp, Mukesh Kumar, Farshid Rahmani, Cyril Thébault, Richard Adkins, James Halgren, Trupesh Patel, Arpita Patel, Kamlesh Arun Sawadekar, Kathryn Lawson   +22 more
wiley   +1 more source

Comparing the Efficiency of Particle Swarm and Harmony Search Algorithms in Optimizing the Muskingum-Cunge Model

Water
Floods in various regions cause irreparable damage to infrastructure, agricultural lands, and industrial centers. In recent years, due to the effects of climate change and, in particular, the increased activity of the monsoon system in the Balochistan region located in southern Sistan and Baluchestan province, local rivers have overflowed, causing ...
Rahleh Ahmadi, Jamshid Piri, Hadi Galavi, Mahdi Keikha   +3 more
openaire   +1 more source

Development of a distributed nonlinear Muskingum model by considering snowmelt effects for flood routing in the Red River. [PDF]

Sci Rep, 2023
Atashi V, Barati R, Lim YH.
europepmc   +1 more source

Accuracy of the Muskingum-Cunge method for constant-parameter diffusion-wave channel routing with lateral inflow

, 2018
Channel routing is important in flood forecasting and watershed modeling. The general constant-parameter Muskingum-Cunge (CPMC) method is second-order accurate and easy to implement. With specific discretizations such that the temporal and spatial intervals maintain a unique relationship, the CPMC method can be third-order accurate.
Wang, Li, Lapin, Sergey, Wu, Joan Q., Elliot, William J., Fiedler, Fritz R.   +4 more
openaire   +2 more sources

Flood Routing Model Coupled with Dynamic Leakage Losses for Ephemeral Rivers with Large Potholes. [PDF]

Int J Environ Res Public Health, 2022
Liu C, Pan C, Liu C, Zhai Y, Xue W, Cui Y.   +5 more
europepmc   +1 more source

Novel Along-Track Processing of GRACE Follow-On Laser Ranging Measurements Found Abrupt Water Storage Increase and Land Subsidence During the 2021 March Australian Flooding. [PDF]

Earth Space Sci, 2021
Han SC, Han SC, Yeo IY, Khaki M, McCullough CM, Lee E, Sauber J.   +6 more
europepmc   +1 more source

Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning

Water Resources Research
Abstract Recently, rainfall‐runoff simulations in small headwater basins have been improved by methodological advances such as deep neural networks (NNs) and hybrid physics‐NN models—particularly, a genre called differentiable modeling that intermingles NNs with physics to learn relationships between variables ...
Tadd Bindas, Wen‐Ping Tsai, Jiangtao Liu, Farshid Rahmani, Dapeng Feng, Yuchen Bian, Kathryn Lawson, Chaopeng Shen   +7 more
openaire   +2 more sources

ANALISIS BANJIR DENGAN METODE MUSKINGUM CUNGE DAN SISTEM INFORMASI GEOGRAFIS (SIG) DI KELURAHAN BANYUANYAR, SURAKARTA

Matriks Teknik Sipil, 2018
<p>Surakarta, kecamatan Banjarsari, tepatnya di kelurahan Banyuanyar merupakan daerah yang tidak luput dari peristiwa banjir dengan kondisi yang cukup parah dibeberapa tahun belakangan. Banjir terjadi dikarekan limpasan air dari Kali Pepe Hulu, hal yang perlu dilakukan untuk mengatasi permasalahan tersebut salah satunya dengan penelusuran banjir ...
Muhammad Zean Raka Buana, Raden Roro Rintis Hadiani, Endah Sitaresmi Suryandari   +2 more
openaire   +2 more sources