Transport of Methylene Blue Trhough An Organic Porous Coco Peat Medium Column 6

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Contributor(s): Philippine Engineering Journal. 37:1 (June 2016): pp.23-44 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; 46Edition: Description: Content type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 Arthur Gonzales III 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- COCO PEAT PEAT ABSORBENT -- METHYLENE BLUE REMOVAL -- -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:
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ABSTRACT: Industries such as textile and paper that use dyes to color their final product discharge substantial volumes of highly colored water into natural water bodies. Understanding the mechanisms of dye removal from wastewater before discharge to surface waters is important since dyes may disrupt biological processes in the water environment. In this study, the feasibility of using coco peat in removal of methylene blue is demonstrated. A mathematical model describing the chemical transport and removal of Methylene Blue (MB) onto a highly organic biosorbent coco peat was solved in MATLAB using a semi-discrete finite difference with fourth order upwind differentation. The needed parameters on adsorption of MB onto a biosorbent coco peat were obtained using batch experiment. The batch experiment indicated coco peat is a very good adsorbent of MB with a removal efficiency of 99.61% . It was also shown that the adsorption at equilibrium obeys the Lang muir isotherm with parameters such as maximum adsortion capacity qm and the Langmuir coefficient, K determined for all the temperatures investigated. A column experiment was carried out to obtain effluent breakthrough curves used for calibrating the mathematical model. A Linear driving force couples with solid diffusion model was applied succesfully to the experimental data to determine the three major transport parameters, axial dispersion coefficient, D external mass transfer coefficient, k and solid diffusivity The model was tested and fitted well on one experimental case with D=1.130E-05 m 56

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