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Water 2016, 8(4), 162; doi:10.3390/w8040162

Predicting the Hydraulic Conductivity of Metallic Iron Filters: Modeling Gone Astray

1
Department of Applied Geology, Universität Göttingen, Goldschmidtstraße 3, Göttingen D-37077, Germany
2
Comité Afro-européen, Avenue Léopold II, Namur 41-5000, Belgium
3
Kultur und Nachhaltige Entwicklung CDD e.V., Postfach 1502, Göttingen D-37005, Germany
Academic Editor: Miklas Scholz
Received: 28 January 2016 / Revised: 31 March 2016 / Accepted: 13 April 2016 / Published: 20 April 2016
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Abstract

Since its introduction about 25 years ago, metallic iron (Fe0) has shown its potential as the key component of reactive filtration systems for contaminant removal in polluted waters. Technical applications of such systems can be enhanced by numerical simulation of a filter design to improve, e.g., the service time or the minimum permeability of a prospected system to warrant the required output water quality. This communication discusses the relevant input quantities into such a simulation model, illustrates the possible simplifications and identifies the lack of relevant thermodynamic and kinetic data. As a result, necessary steps are outlined that may improve the numerical simulation and, consequently, the technical design of Fe0 filters. Following a general overview on the key reactions in a Fe0 system, the importance of iron corrosion kinetics is illustrated. Iron corrosion kinetics, expressed as a rate constant kiron, determines both the removal rate of contaminants and the average permeability loss of the filter system. While the relevance of a reasonable estimate of kiron is thus obvious, information is scarce. As a conclusion, systematic experiments for the determination of kiron values are suggested to improve the database of this key input parameter to Fe0 filters. View Full-Text
Keywords: corrosion rate; numerical simulations; permeability loss; water treatment; zero-valent iron corrosion rate; numerical simulations; permeability loss; water treatment; zero-valent iron
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Noubactep, C. Predicting the Hydraulic Conductivity of Metallic Iron Filters: Modeling Gone Astray. Water 2016, 8, 162.

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