Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
the longitudinal dispersion coefficient () and the derivation of novel optimized explicit …
Assessment of Artificial Intelligence Models for Developing Single‐Value and Loop Rating Curves
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 …
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
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 …
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
A Transient Storage Model (TSM), which considers the storage exchange process that
induces an abnormal mixing phenomenon, has been widely used to analyze solute …
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 …
prominent water quality parameters. In this regard, numerous research studies have been …