Kinetic models for volatile chlorinated hydrocarbons removal by zero-valent iron

Kinetic models for removal of trichloroethylene, trichloromethane and tetrachloroethylene from water by zero-valent iron were tested. The dehalogenation reactions were modelled by first-order and power law models, pseudo-stationary models with a controlling surface reaction rate and non-stationary m...

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Bibliographic Details
Published in:Chemosphere (Oxford) 2004-02, Vol.54 (7), p.917-925
Main Authors: Janda, Václav, Vasek, Petr, Bizova, Jana, Belohlav, Zdenek
Format: Article
Language:English
Subjects:
Applied sciences
Chlorination
Contamination
Dechlorination
Dehalogenation
Earth sciences
Earth, ocean, space
Empirical analysis
Engineering and environment geology. Geothermics
Exact sciences and technology
Groundwaters
Halogenated hydrocarbons
Hydrocarbons
Hydrocarbons, Chlorinated - chemistry
Iron
Iron - chemistry
Kinetic models
Kinetics
Mathematical models
Models, Chemical
Natural water pollution
Pollution
Pollution, environment geology
Regression Analysis
tetrachloroethylene
trichloroethylene
trichloromethane
Water Purification - methods
Water treatment and pollution
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Summary:Kinetic models for removal of trichloroethylene, trichloromethane and tetrachloroethylene from water by zero-valent iron were tested. The dehalogenation reactions were modelled by first-order and power law models, pseudo-stationary models with a controlling surface reaction rate and non-stationary models without the assumption of rate controlling step. Regression analysis proved, that the first-order kinetic is not suitable for the modelling of chlorinated hydrocarbons dechlorination. On the other hand, power law models, Langmuir–Hinshelwood analogy models and general models of heterogeneous reactions are reliable for the kinetic description of dechlorination. In spite of an empirical or semi-empirical character, the power law models and models of controlling surface reaction rate can be recommended for the regression analysis owing to the their simple regression parameters interpretation.
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2003.08.033