Record Display for the EPA National Library Catalog

RECORD NUMBER: 37 OF 111

Main Title Arsenic Removal from Drinking Water by Iron Removal, U.S. EPA Demonstration Project at Sabin, MN, Final Performance Evaluation Report.
Author A. S. C. Chen ; W. E. Condit ; B. J. Yates ; L. Wang
CORP Author Battelle, Columbus, OH.; Environmental Protection Agency, Cincinnati, OH. Office of Research and Development.
Year Published 2010
Report Number EPA/600/R-10/033
Stock Number PB2010-113250
Additional Subjects Arsenic ; Drinking water ; Water treatment processes ; Water treatment ; Iron ; Contamination ; Water distribution ; Water systems ; Water purification ; Water filtration ; Water utilities ; Water quality management ; Water pollution abatement ; Demonstration project ; Chemical removal(Water treatment) ; Sabin(Minnesota)
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P1007JWG.PDF
Holdings
Library Call Number Additional Info Location Last
Modified		 Checkout
Status
NTIS  PB2010-113250 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 91p
Abstract
This report documents the activities performed and the results obtained from January 30, 2006 to April 29, 2007 at the U.S. Environmental Protection Agency (EPA) Arsenic Removal Technology Demonstration site in Sabin, MN. The main objective of the project was to evaluate the effectiveness of Kinetico's FM-248-AS arsenic removal system using Macrolite (Trade Name) media in removing arsenic from raw drinking water to meet the arsenic maximum contaminant level (MCL) of 10 micro g/L. Additionally, this project evaluated: (1) the reliability of the treatment system for use at a small water facility; (2) the required system operation and maintenance (O&M) and operator skill levels; and (3) the cost-effectiveness of the technology. The project also characterized water in the distribution system and residuals generated by the treatment process. The types of data collected included system operational data, water quality data (both across the treatment train and in the distribution system), process residual data, and capital and O&M cost data.