Assessment of artificial intelligence models for calculating optimum properties of lined channels

M Niazkar - Journal of Hydroinformatics, 2020 - iwaponline.com
Lined channels with trapezoidal, rectangular and triangular sections are the most common
manmade canals in practice. Since the construction cost plays a key role in water …

Overlooking probabilistic mapping renders urban flood risk management inequitable

JM Bodoque, Á Esteban-Muñoz… - … Earth & Environment, 2023 - nature.com
Characterizing flood-related hazards has mostly relied on deterministic approaches or,
occasionally, on particular uncertainty sources, resulting in fragmented approaches. To …

Flow characteristics around permeable spur dike with different staggered pores at varying angles

R Haider, D Qiao, J Yan, D Ning, GA Pasha… - Arabian Journal for …, 2022 - Springer
Abstract In this study, Computational Fluid Dynamics software (ANSYS Fluent) is used to
investigate the turbulence and flow characteristics around spur dike in an open channel …

A geostatistical approach to estimate flow duration curve parameters in ungauged basins

MR Goodarzi, M Vazirian - Applied Water Science, 2023 - Springer
Flow duration curve represents the percentage of time that a river flow is equal to or greater.
As these curves provide a direct response to the behavior of water resources in a basin …

Revisiting the estimation of Colebrook friction factor: a comparison between artificial intelligence models and CW based explicit equations

M Niazkar - KSCE Journal of Civil Engineering, 2019 - Springer
Abstract Application of Colebrook-White (CW) relation for calculating Darcy-Weisbach (DW)
friction factor has been widely accepted in literature. However, its implicit formation made it …

An Excel VBA‐based educational module for bed roughness predictors

M Niazkar - Computer Applications in Engineering Education, 2021 - Wiley Online Library
Estimation of flow resistance coefficients plays an inevitable role in open‐channel flows in
hydraulic modeling and water resources engineering. Despite many equations and methods …

Assessment of artificial intelligence models for estimating lengths of gradually varied flow profiles

M Niazkar, F Hajizadeh mishi, G Eryılmaz Türkkan - Complexity, 2021 - Wiley Online Library
The study of water surface profiles is beneficial to various applications in water resources
management. In this study, two artificial intelligence (AI) models named the artificial neural …

Bridge backwater estimation: A comparison between artificial intelligence models and explicit equations

M Niazkar, N Talebbeydokhti, SH Afzali - Scientia Iranica, 2021 - scientiairanica.sharif.edu
Estimation of bridge backwater has been one of practical challenges in hydraulic
engineering for decades. In this study, Genetic Programming (GP) has been applied for …

One dimensional hydraulic flow routing incorporating a variable grain roughness coefficient

M Niazkar, N Talebbeydokhti, SH Afzali - Water Resources Management, 2019 - Springer
The reach-average impacts of frictional forces, which retard flows in man-made channels
and natural streams, are basically taken into account by flow resistance coefficients. These …

黄河下游动床阻力变化及其计算方法.

夏军强, 刘鑫, 张晓雷, 周美蓉 - Advances in Water Science …, 2021 - search.ebscohost.com
动床阻力在冲积河道洪水演进与河床冲淤计算中具有十分重要的作用ꎮ 黄河下游不同水沙条件
下的床面形态变化较大ꎬ 动床阻力变化规律十分复杂ꎬ 因此需要研究动床阻力的计算方法ꎮ …