An activated carbon was developed from coconut shell fibers, characterized and used for the
removal of methylene blue (basic) and methyl orange (acidic) dyes from wastewater successfully.
Adsorption studies were carried out at different temperatures, particle size, pH, and adsorbent
doses. The adsorption data are correlated with both Langmuir and Freundlich models. The results
indicate that the Freundlich model fits the data better as compared to the Langmuir model in
terms of regression coefficients. Isotherms have been used to obtain the thermodynamic
parameters such as free energy, enthalpy, and entropy of adsorption. The kinetic studies were
also conducted, and the adsorption of methylene blue and methyl orange follow the first-order
rate equation. Various kinetic parameters such as the mass-transfer coefficient, effective diffusion
coefficient, activation energy, and entropy of activation were evaluated to establish the
mechanisms. It was concluded that methylene blue adsorption occurs through a film diffusion
mechanism at low as well as at higher concentrations, while methyl orange adsorption occurs
through film diffusion at low concentration and particle diffusion at high concentrations. The
sorption capacity of the developed carbon is comparable to the other available adsorbents, and
costwise it is quite cheaper.
This study explores the extent and possible sources of heavy metal (Cd, Cr, Cu, Fe, Mn, Pb, Zn and Ni) contamination in the bed sediments of the Gomti River performing principal component analysis on the five years (Jan. 1994-Dec. 1998) data set obtained through continuous monitoring of the river water and bed sediments at eight selected sites and water/wastewater of its tributaries/drains. Influence of anthropogenic activities on metal contamination of the bed sediments was evaluated through computing the geoaccumulation index for various metals at studied sites. PCA performed on combined (river bed sediment, water, suspended solids, water/wastewater from tributaries/drains) data set extracted two significant factors explaining more than 58% of total variance. Factor loadings suggested the presence of both natural as well as anthropogenic sources for all these metals in the river bed sediments. Among all the sites, the sites 4 and 5 are more contaminated with Cd, Cu, Cr and Pb, which was supported by the geoaccumulation indices computed for metals. Factor scores revealed presence of seasonal (monsoon-related) differences in metals profiles for river water and suspended solids and absence of seasonal differences for bed sediment and wastewater. Further, the metal contamination of the bed sediment was also evaluated using biological thresholds. Results suggested that the river bed sediments are contaminated with heavy metals, which may contribute to sediment toxicity to the freshwater ecosystem of the Gomti River.
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