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Effect of Pumice and Sand on the Sustainability of Granular Iron Beds for the Aqueous Removal of Cu II , Ni II , and Zn II
Author(s) -
Bilardi Stefania,
Calabrò Paolo S.,
Caré Sabine,
Moraci Nicola,
Noubactep Chicgoua
Publication year - 2013
Publication title -
clean – soil, air, water
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 66
eISSN - 1863-0669
pISSN - 1863-0650
DOI - 10.1002/clen.201100472
Subject(s) - pumice , aqueous solution , permeability (electromagnetism) , porosity , bentonite , corrosion , grain size , hydraulic conductivity , metallurgy , mineralogy , chemistry , materials science , geology , soil science , composite material , geotechnical engineering , volcano , soil water , biochemistry , membrane , seismology
Current knowledge of the basic principles underlying the design of Fe 0 beds is weak. The volumetric expansive nature of iron corrosion was identified as the major factor determining the sustainability of Fe 0 beds. This work attempts to systematically verify developed concepts. Pumice and sand were admixed to 200 g of Fe 0 in column studies (50:50 volumetric proportion). Reference systems containing 100% of each material have been also investigated. The mean grain size of the used materials (in mm) were 0.28 (sand), 0.30 (pumice), and 0.50 (Fe 0 ). The five studied systems were characterized (i) by the time dependent evolution of their hydraulic conductivity (permeability) and (ii) for their efficiency for aqueous removal of Cu II , Ni II , and Zn II (about 0.3 mM of each). Results showed unequivocally that (i) quantitative contaminant removal was coupled to the presence of Fe 0 , (ii) additive admixture lengthened the service life of Fe 0 beds, and (iii) pumice was the best admixing agent for sustaining permeability while the Fe 0 /sand column was the most efficient for contaminant removal. The evolution of the permeability was well‐fitted by the approach that the inflowing solution contained dissolved O 2 . The achieved results are regarded as starting point for a systematic research to optimize/support Fe 0 filter design.

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