Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams

B Ghiasi, R Noori, H Sheikhian, A Zeynolabedin… - Scientific reports, 2022 - nature.com
Discharge of pollution loads into natural water systems remains a global challenge that
threatens water and food supply, as well as endangering ecosystem services. Natural …

A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows

MY Liu, WX Huai, ZH Yang, YH Zeng - Advances in Water Resources, 2020 - Elsevier
The estimation of drag exerted by vegetation is of great interest because of its importance in
assessing the impact of vegetation on the hydrodynamic processes in aquatic environments …

The prediction of longitudinal dispersion coefficient in natural streams using LS-SVM and ANFIS optimized by Harris hawk optimization algorithm

NA Azar, SG Milan, Z Kayhomayoon - Journal of Contaminant Hydrology, 2021 - Elsevier
Accurate calculation of the longitudinal dispersion coefficient (K x) of pollution is essential in
modeling river pollution status. Various equations are presented to calculate the K x using …

Pan evaporation estimation and derivation of explicit optimized equations by novel hybrid meta-heuristic ANN based methods in different climates of Iran

A Seifi, F Soroush - Computers and Electronics in Agriculture, 2020 - Elsevier
Pan evaporation (E p) estimation is important in scheduling and computing irrigation water
requirement. This study evaluated the ability of novel meta-heuristic optimization algorithms …

[HTML][HTML] A comprehensive uncertainty analysis of model-estimated longitudinal and lateral dispersion coefficients in open channels

M Najafzadeh, R Noori, D Afroozi, B Ghiasi… - Journal of …, 2021 - Elsevier
The complexity of pollutant-mixing mechanism in open channels generates large uncertainty
in estimation of longitudinal and lateral dispersion coefficients (K x and K y). Therefore, K x …

Derivation of optimized equations for estimation of dispersion coefficient in natural streams using hybridized ANN with PSO and CSO algorithms

HR Madvar, M Dehghani, R Memarzadeh… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, a new hybrid model is developed to improve the accuracy in the prediction of
the longitudinal dispersion coefficient () and the derivation of novel optimized explicit …

Assessment of Artificial Intelligence Models for Developing Single‐Value and Loop Rating Curves

M Niazkar, M Zakwan - Complexity, 2021 - Wiley Online Library
Estimation of discharge flowing through rivers is an important aspect of water resource
planning and management. The most common way to address this concern is to develop …

Estimation of natural streams longitudinal dispersion coefficient using hybrid evolutionary machine learning model

L Goliatt, SO Sulaiman, KM Khedher… - Engineering …, 2021 - Taylor & Francis
Among several indicators for river engineering sustainability, the longitudinal dispersion
coefficient (K x) is the main parameter that defines the transport of pollutants in natural …

Multi-gene genetic programming regression model for prediction of transient storage model parameters in natural rivers

H Noh, S Kwon, IW Seo, D Baek, SH Jung - Water, 2020 - mdpi.com
A Transient Storage Model (TSM), which considers the storage exchange process that
induces an abnormal mixing phenomenon, has been widely used to analyze solute …

Reliability-based design and implementation of crow search algorithm for longitudinal dispersion coefficient estimation in rivers

A Ghaemi, T Zhian, B Pirzadeh… - … Science and Pollution …, 2021 - Springer
The longitudinal dispersion coefficient (LDC) of river pollutants is considered as one of the
prominent water quality parameters. In this regard, numerous research studies have been …