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 …
Two decades on the artificial intelligence models advancement for modeling river sediment concentration: State-of-the-art
Simulation approaches employed in sediment processes are important for watershed
management and environmental impact assessment. Use of Stochastic models that based …
management and environmental impact assessment. Use of Stochastic models that based …
[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 …
[HTML][HTML] A Review on Storage Process Models for Improving Water Quality Modeling in Rivers
Water quality is intricately linked to the global water crisis since the availability of safe, clean
water is essential for sustaining life and ensuring the well-being of communities worldwide …
water is essential for sustaining life and ensuring the well-being of communities worldwide …
Improved water quality prediction with hybrid wavelet-genetic programming model and shannon entropy
Prediction of biochemical oxygen demand (BOD) as the main pollution indicators of organic
pollution in freshwater resources is necessary. In the present work, a hybrid wavelet-genetic …
pollution in freshwater resources is necessary. In the present work, a hybrid wavelet-genetic …
Comparison of novel physics-guided machine learning models with empirical equations for predicting longitudinal dispersion coefficient in diverse natural river …
Accurate calculation of the longitudinal dispersion coefficient (LDC) is crucial for assessing
river fate and transport processes. Traditional methods, including experimental, analytical …
river fate and transport processes. Traditional methods, including experimental, analytical …
Surface water resources assessment and planning with the QUAL2Kw model: a case study of the Maroon and Jarahi Basin (Iran)
Mathematical models are useful for predicting the reactions of watercourses such as rivers
due to the entry of contaminants. Some of these models are able to simulate the effects of …
due to the entry of contaminants. Some of these models are able to simulate the effects of …
[HTML][HTML] River quality management: Integrating uncertainty, failure probability, and assimilation capacity
MD Darmian, B Schmalz - Ecological Informatics, 2024 - Elsevier
Managing river water quality is challenging due to uncertainties in hydraulic and hydrologic
parameters. This study integrates the symmetric exponential function (SEF) approach for …
parameters. This study integrates the symmetric exponential function (SEF) approach for …
[HTML][HTML] Reliability of functional forms for calculation of longitudinal dispersion coefficient in rivers
Although dimensional analysis suggests sound functional forms (FFs) to calculate
longitudinal dispersion coefficient (K x), no attempt has been made to quantify both reliability …
longitudinal dispersion coefficient (K x), no attempt has been made to quantify both reliability …
New coefficient for water quality modelling in meandering rivers: fatigue factor
The accuracy of water quality predictions is essential, especially in countries affected by
climate change and ecological water diversity. Water quality modelling in rivers is a valuable …
climate change and ecological water diversity. Water quality modelling in rivers is a valuable …