RESPONSE SURFACE METHODOLOGY APPLIED FOR INVESTIGATION OF DIESEL OIL SPILL REMOVAL FROM WATER SURFACE USING TEXTILE SORBENTS

摘要

In this study the textile non-woven sorbents made of polypropylene fibres have been manufactured using cross-laid-needle-punching technology in order to provide the resource for marine oil spill response. The nonwoven sorbents with different basis weight has been evaluated in this study in terms of oil spill removal efficiency. The prior investigations indicated that the initial thickness of diesel oil on water surface, the drainage time as well as the basic weight and geometric surface of nonwoven sorbent are the most important factors in the oil-sorption performance of polypropylene nonwoven sorbents. The present paper discusses the experimental design and response surface methodology (RSM) as an efficient approach for predictive model building and optimisation of diesel oil spill removal uses of polypropylene non-woven sorbents. All experiments were statistical planned according to central composite experimental design (CCD) of orthogonal type. Based on CCD the regression equation was developed to find the relationship between the removal efficiency and the factors. Once the mathematical model was established, the response surface optimisation method was applied in order to determine the optimum conditions that ensure the maximum removal efficiency. The developed regression model has been validated from statistical point of view to ensure the goodness-of-fit. Also, the response surface plots were drawn for spatial representation and analysis of the regression equations.