Estimation of manning roughness coefficient in alluvial rivers with bed forms using soft computing models

MB Yarahmadi, A Parsaie, M Shafai-Bejestan… - Water Resources …, 2023 - Springer
Flow conditions (flow discharge, flow depth, and flow velocity) in natural streams are mainly
determined via the flow resistance formula such as Manning's equation. Evaluating the …

Evaluation of the impact of channel geometry and rough elements arrangement in hydraulic jump energy dissipation via SVM

K Roushangar, R Ghasempour - Journal of Hydroinformatics, 2019 - iwaponline.com
Rough bed channels are one of the appurtenances used to dissipate the extra energy of the
flow through hydraulic jump. The aim of this paper is to assess the effects of channel …

Insights into the prediction capability of roughness coefficient in current ripple bedforms under varied hydraulic conditions

K Roushangar, S Shahnazi - Journal of Hydroinformatics, 2021 - iwaponline.com
Ubiquitous flow bedforms such as ripples in rivers and coastal environments can affect
transport conditions as they constitute the bed roughness elements. The roughness …

Modeling total resistance and form resistance of movable bed channels via experimental data and a kernel-based approach

SM Saghebian, K Roushangar… - Journal of …, 2020 - iwaponline.com
An accurate prediction of roughness coefficient in alluvial channels is of substantial
importance for river management. In this study, the total and form resistance in alluvial …

Flow discharge prediction study using a cfd-based numerical model and gene expression programming

S Mozaffari, E Amini, H Mehdipour, M Neshat - Water, 2022 - mdpi.com
The significance of spillways is to allow the flood to be safely discharged from downstream.
There is a strong correlation between the poor design of spillways and the failures of dams …

Developing Extended and Unscented Kalman Filter-Based Neural Networks to Predict Cluster-Induced Roughness in Gravel Bed Rivers

M Karbasi, M Ghasemian, M Jamei, A Malik… - Water Resources …, 2024 - Springer
Flow resistance in natural gravel-bed rivers must be precisely predicted in order for water-
related infrastructure to be designed effectively. Cluster microforms are significant factors in …

[HTML][HTML] Modeling flow resistance and geometry of dunes bed form in alluvial channels using hybrid RANN–AHA and GEP models

R Ezzeldin, M Abd-Elmaboud - International Journal of Sediment Research, 2024 - Elsevier
Dunes formation in sandy rivers significantly impacts flow resistance, subsequently affecting
water levels, flow velocity, river navigation, and hydraulic structures performance. Accurate …

Predicting the relative energy dissipation of hydraulic jump in rough and smooth bed compound channels using SVM

SM Saghebian - Water Supply, 2019 - iwaponline.com
Channels with different shapes and bed conditions are used as useful appurtenances to
dissipate the extra energy of a hydraulic jump. Accurate prediction of hydraulic jump energy …

The potential of FFNN and MLP-FFA approaches in prediction of Manning coefficient in ripple and dune bedforms

V Abdi, SM Saghebian - Water Supply, 2021 - iwaponline.com
An accurate prediction of roughness coefficient is of substantial importance for river
management. The current study applies two artificial intelligence methods namely; Feed …

Anisotropy in Turbulent Flow over Two-Dimensional Fixed Bedforms with Downward Seepage

PK Behera, V Deshpande, M Patel… - Journal of Irrigation and …, 2024 - ascelibrary.org
The investigation of bedform configurations and their migration manifest under varying flow
conditions in alluvial channels remains a persistent challenge for engineers and …