99
Views
2
CrossRef citations to date
0
Altmetric
Articles

Removal of high-concentration geosmin using a GAC filter and a cross-flow-type membrane filtration process combined with PAC

, , &
Pages 651-660 | Received 14 Apr 2014, Accepted 20 Aug 2014, Published online: 18 Dec 2014
 

Abstract

The purpose of this study is to remove high-concentration geosmin (GSM) by applying a granular-activated carbon (GAC) filter and a membrane filtration (MF) process injected with powdered-activated carbon (PAC). In this study, laboratory-scale experiments were conducted to (1) develop isotherm equations for GSM adsorption using PAC and GAC, (2) assess GSM adsorption competition by dissolved organic carbon (DOC), and (3) derive design factors for a pilot plant. In addition, the flux of the cross-flow-type pressurized MF was assessed at various PAC concentrations. Based on the results, a pilot plant was designed and operated from 14 July to 16 August 2013. The pilot plant operation achieved not only a stable treated water quality with an average GSM concentration of 10 ng/L or less (removal efficiency: 99.5%), but also a treated water quality with an average DOC concentration of 0.5 mg/L or less (removal efficiency: 91.7%) at the same time. From these findings, it was concluded that it may be possible (a) to meet the monitoring criteria for drinking water quality when high-concentration GSM is exposed, (b) to reduce the total amount of PAC inputs, and (c) to redress possible public complaints about compounds with unpleasant taste and odor.

Acknowledgment

This subject was supported by the “R&D Center for Advanced Technology of Wastewater Treatment and Reuse” as a global top project of the Korea Ministry of Environment (Project No.: PART A-8).

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

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.