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A complementary approach of response surface methodology and an artificial neural network for the optimization and prediction of low salinity reverse osmosis performance
The treatment of saline water sources by reverse osmosis (RO) is being utilized increasingly to address water shortages around the world. The application of RO is energy-intensive; therefore, plant and process optimization are crucial. The desalination of low salinity water sources with total dissol...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519509/ https://www.ncbi.nlm.nih.gov/pubmed/36185130 http://dx.doi.org/10.1016/j.heliyon.2022.e10692 |