Peat-based sorbents for the removal of oil spills from water surface: Application of artificial neural network modeling

Colloids and Surfaces A: Physicochemical and Engineering Aspects

Volumn 384, Issue 1-3, 2011, Pages 675-684

  Cojocaru, Corneliu ^a   Macoveanu, Matei ^a   Cretescu, Igor ^a  

^a GHEORGHE ASACHI TECHNICAL UNIVERSITY OF IASI   (Romania)

Author keywords

Artificial neural network; Capillarity; Oil spill; Peat; Sorbent

Indexed keywords

ADSORPTION; DEWATERING; EFFICIENCY; OIL SPILLS; OPTIMIZATION; PEAT; SORBENTS;

ADSORPTION PHENOMENA; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELING; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; INITIAL THICKNESS; INPUT VARIABLES; LABORATORY STUDIES; MAXIMUM VALUES; OIL SLICKS; OIL SORPTION; OIL SPILLAGE; OPTICAL MICROSCOPES; OPTIMAL CONDITIONS; OPTIMAL OPERATING CONDITIONS; REMOVAL EFFICIENCIES; RETENTION PROFILE; RIVERS AND LAKES; WATER SURFACE;

NEURAL NETWORKS;

SORBENT; WATER;

ADSORPTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; DESORPTION; MICROSCOPY; OIL SPILL; PRIORITY JOURNAL; SURFACE PROPERTY; VISCOSITY;

EID: 79959758031     PISSN: 09277757     EISSN: 18734359     Source Type: Journal    
DOI: 10.1016/j.colsurfa.2011.05.036     Document Type: Article

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