Improving reductive performance of zero valent iron by H2O2/HCl pretreatment: A case study on nitrate reduction

2018 ◽  
Vol 334 ◽  
pp. 2255-2263 ◽  
Author(s):  
Zhe Yang ◽  
Chao Shan ◽  
Yuchen Mei ◽  
Zhao Jiang ◽  
Xiaohong Guan ◽  
...  
2012 ◽  
Vol 133 (1) ◽  
pp. 205-211 ◽  
Author(s):  
H.B. Liu ◽  
T.H. Chen ◽  
D.Y. Chang ◽  
D. Chen ◽  
Y. Liu ◽  
...  

2015 ◽  
Vol 146 ◽  
pp. 227-234 ◽  
Author(s):  
Xuejun Guo ◽  
Zhe Yang ◽  
Hong Liu ◽  
Xiaofang Lv ◽  
Qiansi Tu ◽  
...  

2018 ◽  
Vol 32 (3) ◽  
pp. 243-251 ◽  
Author(s):  
Youngpyoe Hong ◽  
Younggyo Seo ◽  
Hyowon Kim ◽  
Yuhoon Hwang

Author(s):  
Maria Villen-Guzman ◽  
Juan Manuel Paz-Garcia ◽  
Brahim Arhoun ◽  
Maria del Mar Cerrillo-Gonzalez ◽  
Jose Miguel Rodriguez-Maroto ◽  
...  

Zero valent iron (ZVI) is being used in permeable reactive barriers (PRB) for the removal of oxidant contaminants, from nitrate to chlorinated organics. A sound design of these barriers requires a good understanding of kinetics. Here we present a study of the kinetics of nitrate reduction under relatively low values of pH, from 2 to 4.5. We use a particle size of 0.42 mm, which is within the recommended size for PRBs (0.2 mm to 2.0 mm). In order to avoid possible mass-transfer limitations, a well-stirred reactor coupled with a fluidized bed reactor was used. The experiments were performed at constant pH values using a pH controller that allows to accurately track the amount of acid added. Since the reduction of H + to H 2 by the oxidation of ZVI will always be present for these pH values, blank experiments (without nitrate) were performed and the rate of this H + reduction obtained. This rate of reduction was studied using three kinetic models: a regular empirical one, the Shrinking-Core Model (SCM), and the Surface Kinetics Model (SKM). The best performance was obtained from the SKM model. Therefore, this model was also used to study the results for the nitrate reduction, also with satisfactory results. In both cases, some assumptions are introduced to maintain a moderate number of fitting parameters.


2019 ◽  
Vol 5 (4) ◽  
pp. 782-797 ◽  
Author(s):  
Brian J. Halaburka ◽  
Gregory H. LeFevre ◽  
Richard G. Luthy

The temperature dependence of denitrification in woodchip bioreactors was quantified using experimental and modeled results to enhance predictive power and applied to a case study.


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