A new approach for optimization of small-scale RO membrane using artificial groundwater
- Author
- MANOJ CHANDRA GARG1 ; JOSHI, Himanshu1
[1] Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, India - Source
Environmental technology. 2014, Vol 35, Num 21-24, pp 2988-2999, 12 p ; ref : 40 ref
- ISSN
- 0959-3330
- Scientific domain
- Environment; Geology; Pollution; Toxicology
- Publisher
- Taylor & Francis, Abingdon
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- artificial groundwater artificial neural network response surface methodology small-scale RO process statistical modelling
- Keyword (fr)
- Consommation énergie Eau saumâtre Eau souterraine Marché Modèle prévision Modélisation Optimisation Osmose inverse Prédiction Rejet Réseau neuronal Séparation par membrane pH
- Keyword (en)
- Energy consumption Brackish water Ground water Markets Forecast model Modeling Optimization Reverse osmosis Prediction Rejection Neural network Membrane separation pH
- Keyword (es)
- Consumo energía Agua salobre Agua subterránea Mercado Modelo previsión Modelización Optimización Osmosis inversa Predicción Rechazo Red neuronal Separación por membrana pH
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D07 Chemical engineering / 001D07N Membrane separation (reverse osmosis, dialysis...)
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D16 Pollution / 001D16A Water treatment and pollution / 001D16A04 Natural water pollution / 001D16A04B Groundwaters
- Discipline
- Chemical engineering Pollution
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28887823
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1080/09593330.2014.927928 
https://dx.doi.org/10.1080/09593330.2014.927928
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