Record Display for the EPA National Library Catalog


Main Title Analysis of Occurrence Data from the Unregulated Contaminant Monitoring Regulation (UCM) Program and National Inorganics and Radionuclides Survey (NIRS) in Support of Regulatory Determinations for the Second Drinking Water Contaminant Candidate List.
CORP Author Environmental Protection Agency, Washington, DC. Office of Ground Water and Drinking Water.
Publisher Dec 2006
Year Published 2006
Report Number EPA/815/D-06-009;
Stock Number PB2007-109898
Additional Subjects Water pollution control ; Drinking water ; Sampling ; Potable water ; Health effects ; Toxicity ; Water systems ; Chemical compounds ; Contamination ; Contaminants ; Monitoring ; Reporting ; Data analysis ; National Inorganics and Radionuclides Survey(NIRS) ; National Primary Drinking Water Regulation(NPDWR) ; Contaminant Candidate List(CCL) ; Unregulated Contaminant Monitoring Regulation (UCMR) ; Drinking Water Contaminant Candidate List
Library Call Number Additional Info Location Last
NTIS  PB2007-109898 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 105p
The Unregulated Contaminant Monitoring (UCM) program (Rounds 1 and 2) and the National Inorganics and Radionuclides Survey (NIRS) were important sources of data considered by the United States Environmental Protection Agency (EPA) when evaluating the occurrence of unregulated contaminants on the second Contaminant Candidate List (CCL 2). This report presents EPAs analysis of national occurrence of CCL 2 contaminants with data from those sources. Detailed occurrence analyses are presented in this report to support the EPA Regulatory Determinations for the four CCL 2 contaminants with Round 1, Round 2 and NIRS data: boron, metolachlor, 1,3-dichloropropene, and 1,1,2,2-tetrachloroethane. Detailed descriptions are presented of the data sources, data editing and management, development of national cross-sections using UCM Round 1 and Round 2 data from States, and the analytical approaches used to assess the occurrence data.