394
Views
27
CrossRef citations to date
0
Altmetric
Original Articles

Iron recovery from acid mine drainage sludge as Fenton source for municipal wastewater treatment

ORCID Icon &
Pages 1245-1260 | Received 05 Jan 2020, Accepted 15 Feb 2020, Published online: 02 Mar 2020
 

ABSTRACT

Iron recovered from acid mine drainage (AMD) waters effluent and introduced as an advanced oxidation processes (AOPs) source, namely, Fenton reagent (FR) for municipal wastewater (MWW) treatment. Acid mine drainage-based Fenton reagent’s (AMD-FR) experiments were carried out in a lab-scale facility and various operating parameters such as reaction time, solution pH, AMD as the iron source dose and H2O2 concentration were investigated. Box–Behnken design was applied to optimise the multiple variables and a mathematical model was developed with a high correlation coefficient (R2 = 96%). The maximum Chemical Oxygen Demand (COD) removal reached 73% within 30 min of reaction time. Optimum AMD sludge introduced to the system was 41 mg/L and H2O2 of 398 mg/L at the optimum operating pH 2.7. Kinetic study of AMD-FR revealed that COD removal followed the second-order reaction kinetic model. Thermodynamic analysis of the results with positive values of enthalpy (∆H`) suggested the endothermic nature of the reaction. Positive Gibbs free energy of activation (∆G`) and negative entropy of activation (∆S`) values verified the non-spontaneous nature of the oxidation reaction with a low energy of activation barrier (55.59 kJmol−1).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,223.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.