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This study evaluates the effectiveness of an iron-based metal-organic framework (Fe-BTC) for removing arsenic from contaminated groundwater through batch and column experiments. Results indicate that increasing the mass of Fe-BTC enhances arsenic adsorption, with stable performance across varying pH levels, and a six-fold increase in adsorption efficiency when compared to soil without MOF. A fractional order advection-dispersion model was employed to accurately predict arsenic transport dynamics, revealing

Author

hase.en

Language

EN