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New sequential treatment for mature landfill leachate by cationic/anionic and anionic/cationic processes:

Mohammed J K Bashir1, Hamidi Abdul Aziz, Mohd Suffian Yusoff

  • 1School of Civil Engineering, Universiti Sains Malaysia (USM), Engineering Campus, Penang, Malaysia.

Journal of Hazardous Materials
|December 15, 2010
PubMed
Summary

This study introduces novel sequential resin treatments for landfill leachate, achieving high removal rates for color, chemical oxygen demand (COD), and ammonia nitrogen (NH3-N). The cationic/anionic sequence demonstrated superior efficiency in treating stabilized leachate.

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Area of Science:

  • Environmental Science
  • Water Treatment Technology
  • Chemical Engineering

Background:

  • Mature landfill leachate poses significant environmental challenges due to its complex composition.
  • Effective treatment of stabilized leachate is crucial for preventing water pollution.

Purpose of the Study:

  • To investigate two novel sequential resin treatment applications for mature landfill leachate.
  • To optimize treatment processes using Response Surface Methodology (RSM) and Central Composite Design (CCD).
  • To evaluate the impact of resin dosage on color, chemical oxygen demand (COD), and NH3-N removal.

Main Methods:

  • Application of sequential cationic/anionic and anionic/cationic resin treatments.
  • Optimization using Response Surface Methodology (RSM) with Central Composite Design (CCD).
  • Statistical modeling to assess individual and interactive effects of resin dosages.

Main Results:

  • Statistically significant models with high R(2) values (>0.8) were developed for removal efficiencies.
  • Optimal conditions yielded 96.8% color, 87.9% COD, and 93.8% NH3-N removal for the cationic/anionic sequence.
  • The anionic/cationic sequence achieved 91.6% color, 72.3% COD, and 92.5% NH3-N removal.

Conclusions:

  • Both sequential resin treatments are effective for mature landfill leachate.
  • The cationic/anionic sequence offers higher removal efficiencies for key pollutants.
  • RSM and CCD provide robust optimization and prediction of treatment performance.