Challenges of arsenic removal from municipal wastewater by coagulation with ferric chloride and alum

Jie Ge, Biswarup Guha, Lee Lippincott, Stanley Cach, Jinshan Wei, Tsan Liang Su, Xiaoguang Meng

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

Discharge of treated municipal wastewater containing arsenic (As) may cause adverse effects on the environment and drinking water sources. Arsenic concentrations were measured throughout the treatment systems at two municipal wastewater plants in New Jersey, USA. The efficiency of As removal by ferric chloride and alum coagulants were evaluated. Besides, the effects of suspended solids in the mixed liquor, pH, and orthophosphate (PO4 3−) on As removal were investigated. The total recoverable As (TAs) concentrations in the influent and effluent of Plant A were in the ranges of 2.00–3.00 and 1.50–2.30 μg/L, respectively. The results indicated that <30% of the As was removed by the conventional biological wastewater treatment processes. The influent and effluent TAs concentrations at Plant B was below 1.00 μg/L. The bench-scale coagulation results demonstrated for the first time that the coagulation treatment could not effectively remove As from the municipal wastewater to <2.00 μg/L. Very high doses of the coagulants (8 and 40 mg/L of Fe(III) or Al(III)) were required to reduce the TAs from 2.84 and 8.61 μg/L in the primary clarifier effluent and arsenate-spiked effluent samples to <2.00 μg/L, respectively, which could be attributed to the high concentrations of PO4 3− and dissolved organic matters (DOM) in the wastewater. The protein DOM in wastewater may negatively impact removal efficiencies more than the DOM in natural water, which mainly consists of humic substances. Furthermore, an artificial neural network was constructed to determine the relative importance of different parameters for As removal. Under the experimental conditions, the importance followed the order: coagulant dose>dissolved PO4 3− > initial As concentration > pH. The findings of this study will help develop effective treatment processes to remove As from municipal wastewater.

Original languageEnglish
Article number138351
JournalScience of the Total Environment
Volume725
DOIs
StatePublished - 10 Jul 2020

Keywords

  • Alum
  • Arsenic removal
  • Artificial neural network
  • Coagulation treatment
  • Ferric chloride
  • Municipal wastewater

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