Flow dynamics and sediment transport in vegetated rivers: A review

Journal of Hydrodynamics, Journal Year: 2021, Volume and Issue: 33(3), P. 400 - 420

Published: June 1, 2021

Language: Английский

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Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images

Water, Journal Year: 2021, Volume and Issue: 13(10), P. 1333 - 1333

Published: May 11, 2021

Estimating the main hydrodynamic features of real vegetated water bodies is crucial to assure a balance between their hydraulic conveyance and environmental quality. Riparian vegetation stands have high impact on channels. The present work has aim integrate riparian vegetation’s reflectance indices hydrodynamics flows assess morphometry bulk drag coefficients distribution along an abandoned drainage channel fully covered by 9–10 m Arundo donax (commonly known as giant reed) stands, starting from flow average velocities measurements at 30 cross-sections identified channel. A map cover was obtained through digital processing Unnamed Aerial Vehicle (UAV)-acquired multispectral images, which represent fast way observe plants’ traits in hardly accessible areas such natural conditions. In this study, portion plants effectively interacting with expressed terms ground-based Leaf Area Index (LAI), easily related UAV-based Normalized Difference Vegetation (NDVI). comparative analysis NDVI LAI enabled UAV-acquired imagery predictions

Language: Английский

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Analysis of the effect of rigid vegetation patches on the hydraulics of an open channel flow with Realizable k-ε and Reynolds stress turbulence models

Flow Measurement and Instrumentation, Journal Year: 2023, Volume and Issue: 94, P. 102477 - 102477

Published: Oct. 17, 2023

Language: Английский

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A fully coupled regularized mortar‐type finite element approach for embedding one‐dimensional fibers into three‐dimensional fluid flow

International Journal for Numerical Methods in Engineering, Journal Year: 2024, Volume and Issue: 125(8)

Published: Jan. 23, 2024

Summary The present article proposes a partitioned Dirichlet‐Neumann algorithm, that allows to address unique challenges arising from novel mixed‐dimensional coupling of very slender fibers embedded in fluid flow using regularized mortar‐type finite element discretization. are modeled via one‐dimensional (1D) partial differential equations based on geometrically exact nonlinear beam theory, while the is described by three‐dimensional (3D) incompressible Navier‐Stokes equations. truly 1D‐3D scheme constitutes approximate model and numerical strategy, naturally necessitates specifically tailored solution schemes ensure an accurate efficient computational treatment. In particular, we strongly coupled algorithm Quasi‐Newton method for applications involving with high slenderness ratios usually challenge regard well‐known added mass effect. influence all employed algorithmic parameters, namely applied acceleration technique, constraint regularization parameter as well shape functions, efficiency results procedure studied through appropriate examples. Finally, convergence two‐way problem under uniform mesh refinement demonstrated, comparison 3D reference performed, method's capabilities capturing phenomena at large geometric scale separation illustrated example submersed vegetation canopy.

Language: Английский

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Effect of Submerged Vegetation Density on Flow Hydrodynamics, Bulk Drag Coefficient, and Bed Friction

Iranian Journal of Science and Technology Transactions of Civil Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 18, 2025

Language: Английский

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Predictive framework of vegetation resistance in channel flow

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 4, 2025

Predicting vegetation-induced flow resistance remains a significant challenge due to the diverse and dynamic nature of river vegetation. Although numerous empirical models are available, they often fail generalize across different environmental conditions, leading inaccurate predictions. This study introduces machine learning-based framework for predicting vegetation resistance, incorporating nine ML methods, including SVM, XGBoost, BP. To improve predictive performance, optimization algorithms such as PSO, WSO, RIME were applied. A comprehensive dataset 490 samples multiple scales was used evaluate model accuracy, indicated: (1) The submergence ratio α Froude number Fr most sensitive parameters affecting Cd, while missing density λ blockage β significantly reduce accuracy; (2) XGBoost outperforms other models, achieving highest accuracy (R2 = 0.9552); (3) stable six parameter deficiency scenarios, with maintaining R2 > 0.85 in all cases. In conclusion, this highlights transformative potential proposed overcoming long-standing challenges estimating vegetated channels. It provides valuable insights sustainable management, bolsters restoration efforts, enhances complex, environments.

Language: Английский

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Modelling Bending Behaviour of Flexible Submerged Vegetation Based on Fluid–Structure Coupling

Ecohydrology, Journal Year: 2025, Volume and Issue: 18(2)

Published: March 1, 2025

ABSTRACT The bending behaviour of flexible submerged vegetation in water flow has been an important issue ecological hydraulics; however, the understanding its laws is still not in‐depth enough, and a comprehensive exploration governing parameters remains lacking. To address this gap, three‐dimensional numerical model based on fluid–structure coupling was built paper validated by experimental data. Utilizing model, single various scenarios simulated analysed. relationships between relative height (RBH) critical variables such as velocity, radius, elastic modulus submergence ratio were found fitted with different types equations. Through multiple regression, formula to estimate RBH derived simulation results. established can quickly characterize state water, providing basis for calculating resistance contributing ecological, engineering environmental studies.

Language: Английский

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Hydrodynamics of turbulent flow in channels with submerged flexible vegetation canopy

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

This paper describes the results of a flume experimental campaign exploring flow structure and turbulence characteristics in open-channel flows with submerged flexible vegetation, called Ceratophyllum demersum L. (also commonly known as rigid hornwort). The analysis allows us to formulate distributions time-averaged streamwise velocity, Reynolds shear stresses, turbulent kinetic energy (TKE) fully developed under influence three different vegetation densities. A method for calculating Manning roughness coefficient open channels is proposed, an empirical formula drag derived. distribution eddy viscosity canopy top penetration depth are examined vegetation. TKE model derived considering length scale ranging from 0.02 0.05 m. then validated using data. sensitivity two key parameters—eddy scale—is analyzed. study provides improved understanding insights into effects on characteristics.

Language: Английский

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A predictive model for overland flow velocity on vegetated slopes considering various environmental factors

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

Accurately predicting the arithmetic mean velocity of overland flows on vegetated slopes is essential for developing hydraulic erosion models. However, there exists a significant challenge in this various vegetation conditions. This study proposed new predictive model based principle resistance superposition, which accounted wide range environmental factors—e.g., coverage, slope angle, and flow discharge. The was validated against comprehensive database with 4168 datasets established from published sources, showing 83.3% calculated R squared values excess 0.750. also compared existing models, demonstrating superior applicability reliability at test After validation comparison, parametric analysis conducted to assess effects factors velocity. results highlighted that decreased increasing coverage until reaching limit strong interactive these These findings provide valuable insights into how influence velocity, offering theoretical foundation control slopes.

Language: Английский

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Modelling vegetation as complex structures in fluid–filament interaction using the elastically-articulated body method

Journal of Fluids and Structures, Journal Year: 2025, Volume and Issue: 136, P. 104323 - 104323

Published: April 23, 2025

Language: Английский

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