Comparison of novel physics-guided machine learning models with empirical equations for predicting longitudinal dispersion coefficient in diverse natural river systems

Shadkani, Sadra; Hemmatzadeh, Yousef; Shiri, Jalal; Saber, Ali; Pak, Amirreza

doi:10.1016/j.jwpe.2024.106067

Journal of Water Process Engineering

2024

DOI: 10.1016/j.jwpe.2024.106067

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Comparison of novel physics-guided machine learning models with empirical equations for predicting longitudinal dispersion coefficient in diverse natural river systems

Sadra Shadkani,

Yousef Hemmatzadeh,

Jalal Shiri

et al.

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Development of a novel Hybrid Hydrodynamic Particle Simulation Methodology for Estimating Discharge Coefficient of Broad-Crested Weirs

Shadkani,

Sergini,

Malekzadeh

et al. 2024

Flow Measurement and Instrumentation

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Comparison of novel physics-guided machine learning models with empirical equations for predicting longitudinal dispersion coefficient in diverse natural river systems

Cited by 1 publication

References 32 publications

Development of a novel Hybrid Hydrodynamic Particle Simulation Methodology for Estimating Discharge Coefficient of Broad-Crested Weirs

Development of a novel Hybrid Hydrodynamic Particle Simulation Methodology for Estimating Discharge Coefficient of Broad-Crested Weirs

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