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 rehabilitation of contaminated streams is mainly influenced by the longitudinal dispersion coefficient, or the rate of longitudi...

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Detalles Bibliográficos
Autores principales: Ghiasi, Behzad, Noori, Roohollah, Sheikhian, Hossein, Zeynolabedin, Amin, Sun, Yuanbin, Jun, Changhyun, Hamouda, Mohamed, Bateni, Sayed M., Abolfathi, Soroush
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931096/
https://www.ncbi.nlm.nih.gov/pubmed/35301353
http://dx.doi.org/10.1038/s41598-022-08417-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931096/
https://www.ncbi.nlm.nih.gov/pubmed/35301353
http://dx.doi.org/10.1038/s41598-022-08417-4

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