Waste materials composited into an adsorbent for landfill leachate treatment

The ability of a composite adsorbent composed primarily of various waste materials to adsorb heavy metals, NH -N, and chemical oxygen demand (COD) from landfill leachate was investigated through batch sorption experiments. The study determined the optimal contact time and adsorbent dosage for the re...

Full description

Saved in:
Bibliographic Details
Published inJournal of water and health Vol. 21; no. 12; pp. 1871 - 1897
Main Authors Kumara, K K P S, Dayanthi, W K C Neetha
Format Journal Article
LanguageEnglish
Published England IWA Publishing 01.12.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The ability of a composite adsorbent composed primarily of various waste materials to adsorb heavy metals, NH -N, and chemical oxygen demand (COD) from landfill leachate was investigated through batch sorption experiments. The study determined the optimal contact time and adsorbent dosage for the removal of Pb, Zn, Cu, Fe, NH -N, and COD to be 15, 90, 30, 180, 30, and 30 min, respectively. The corresponding optimum adsorbent dosages were determined to be 5, 30, 5, 15, 5, and 30 g, respectively. The composite adsorbent exhibited high removal efficiencies, achieving the following maximum values: 96.4% for Pb, 92.7% for Zn, 60.3% for Cu, 87.1% for Fe, 75.0% for NH -N, and 67.5% for COD. Pb and Fe showed the best fit with a Langmuir isotherm model, with corresponding adsorption capacities of 0.0165 and 1.14 mg/g, respectively. For Zn, Cu, NH -N, and COD, the equilibrium data demonstrated the best fit with an Elovich isotherm model, with adsorption capacities of 0.004, 0.005, 0.016, and 4.29 mg/g, respectively. The kinetic data followed the pseudo-second-order kinetic model. It presented a potential solution for the disposal of the waste from which it was derived.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1477-8920
1996-7829
DOI:10.2166/wh.2023.310