Optimal strategy for algae control in potable water treatment facilities

Nidal Hilal, Nick Hankins, Ik Hawn Cho, Chang Gyun Kim

Research output: Contribution to journalReview article

Abstract

This paper presents both a current review of the state-of-the-art in algae removal, and an experimental study of algae removal in potable water supply. Established techniques were investigated by jar-testing on surface raw water samples derived from a lowland river, with the dominant species of algae being Scenedesmus sp (a green algae). These tests were conducted both in isolation and in combination to determine the optimum operational strategy for an actual water treatment facility. Employing 1 mg/L of CuSO4 could remove algae by up to 50.6%, though this might lead to the release of algal toxin. The most effective single technique was PAC addition, which could reduce the algae population by up to 97.6%, although doses above 30 mg/L created turbidity. The maximum reduction ratio achieved with polyaluminium chloride in the absence of pH control was 79.1%, employing a dosage of 14 mg/L; careful pH control during addition of poly-AlCl3 coagulant increased algae removal by up to 35%.

Original languageEnglish (US)
Pages (from-to)236-252
Number of pages17
JournalInternational Journal of Environmental Technology and Management
Volume4
Issue number3
DOIs
StatePublished - Jan 1 2004

Fingerprint

Algae control
Algae
Water treatment
Potable water
water treatment
alga
drinking water
green alga
toxin
Turbidity
turbidity
Water supply
experimental study
water supply
chloride
Rivers

Keywords

  • Algae removal
  • Coagulation
  • Drinking water
  • PAC dosing
  • Potable water treatment
  • Powdered activated carbon
  • Prechlorination
  • Water quality

ASJC Scopus subject areas

  • Environmental Engineering
  • Management, Monitoring, Policy and Law

Cite this

Optimal strategy for algae control in potable water treatment facilities. / Hilal, Nidal; Hankins, Nick; Cho, Ik Hawn; Kim, Chang Gyun.

In: International Journal of Environmental Technology and Management, Vol. 4, No. 3, 01.01.2004, p. 236-252.

Research output: Contribution to journalReview article

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