Titlebook: Arsenic Remediation of Food and Water; Technological Interv Bhaskar Sen Gupta,Nadia Martínez-Villegas Book 2024 Centre for Science and Tech

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https://doi.org/10.1007/978-3-642-47519-1ntration of 2.27 mg/kg, 1.66 mg/kg, 2.71 mg/kg, 1.41 mg/kg, 2.71 mg/kg, in rice/grain, vegetable, cassava, banana, fish, respectively. Arsenic is also released from rock-water interactions in aquifer systems resulting in the deterioration of groundwater quality. Arsenic was also detected in coastal

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Haltung und Bewegung beim MenschenP). The simulation presented here is for understanding the hydrodynamics under stress conditions, and for assessing groundwater leakages. The model utilizes a previously 3-D aquifer geometry obtained from geophysical investigations and aquifer properties from in-situ measurements. The results reveal

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https://doi.org/10.1007/978-3-658-39794-4e contributions. A total of eleven heavy metal(loid)s were selected for this study, out of which the mean concentrations level of As, Fe, Mn, and Zn exceeded their reference limit values. The spatial distribution mapping revealed the distribution patterns and significant effects on concentrations of

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https://doi.org/10.1057/9781137310194ond-order adsorption kinetic models. Van’t Hoff plot was also determined for each process in order to detect the changes in adsorption enthalpy (∆H), Gibbs free energy (∆G) and Entropy (∆S). The obtained results showed that all adsorption processes fitted with both Freundlich and Langmuir adsorption

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https://doi.org/10.1007/978-3-322-88625-5ents, best efficiency (≈99%) in arsenic removal was obtained for pH values between 3 and 5 with a flow rate of 9 mL/min and 12 g of doped laterite. From batch studies, the mechanism of As(V) removal was described by a physico-chemical adsorption following pseudo-second order kinetic. The adsorption