Record Display for the EPA National Library Catalog

RECORD NUMBER: 25 OF 1770

OLS Field Name OLS Field Data
Main Title 3-year quality assurance report for calendar years 1999, 2000 and 2001 : the SLAMS PM2.5 Ambient Air Monitoring Program.
Author Papp, M. ; Elberly, S. ; Schmidt, M.
Other Authors
Author Title of a Work
Papp, Michael.
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards.
Publisher U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Emission Monitoring and Analysis Division, Monitoring and Quality Assurance Group,
Year Published 2004
Report Number EPA-454/R-04-001
Stock Number PB2004-104729
OCLC Number 54961457
Subjects Air--Pollution--United States--Measurement--Quality control. ; Air--Pollution--Measurement--United States--Quality control
Additional Subjects Air quality ; Quality assurance ; Air pollution monitoring ; Accuracy ; Precision ; Bias ; Particulates ; Data collection ; Requirements ; SLAMS(State and Local Air Monitoring Network) ; Ambient Air Quality Monitoring Program
Internet Access
Description Access URL
http://www.epa.gov/ttn/amtic/files/ambient/pm25/qa/qarept9901.pdf
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100D930.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD ARCHIVE EPA 454-R-04-001 Headquarters Library/Washington,DC 12/30/2013
EKBD  EPA-454/R-04-001 Research Triangle Park Library/RTP, NC 04/16/2004
NTIS  PB2004-104729 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 1 v. (various pagings) : col. ill., col. maps, charts (some col.) ; 28 cm.
Abstract
This report documents the quality assurance activities that were undertaken for the SLAMS PM2.5 environmental data operations for the calendar years 1999, 2000 and 2001 which are the first three years of implementation of the PM2.5 monitoring program. The QA Report evaluates the adherence to the quality assurance requirements described in '40 CFR 58 App. A' and evaluates the data quality indicators of precision, accuracy, bias, and completeness.
Notes
Project Officer: Michael Papp. "March, 2004." "EPA-454/R-04-001."
Contents Notes
This report documents the quality assurance activities that were undertaken for the SLAMS PMb2s.b5s environmental data operations for the calendar years 1999, 2000 and 2001 which are the first three years of implementation of the PMb2s.b5s monitoring program. The QA Report evaluates the adherence to the quality assurance requirements described in 40 CFR 58 App. A and evaluates the data quality indicators of precision, accuracy, bias, and completeness. The criteria pollutant defined as particulate matter is a general term used to describe a broad class of substances that exist as liquid or solid particles over a wide range of sizes. As part of the Ambient Air Quality Monitoring Program, EPA measures two particle size fractions: those less than or equal to [a nominal] 10 micrometers, and those less than or equal to [a nominal] 2.5 micrometers, hereafter referred to as PMb10s or PMb2s.b5s respectively. In general, the measurement units of micrograms per cubic meter ([mu]g/mp3s), of particulates less than or equal to 2.5 micrometers ([mu]m) that have been collected on a 46.2mm polytetrafluoroethylene (PTFE) filter. For the State and Local Air Monitoring Network (SLAMS), the primary goal is to compare the PMb2s.b5s concentrations to the annual and 24-hour National Ambient Air Quality Standard (NAAQS). The national primary and secondary ambient air quality standards for PMb2s.b5s are 15.0 micrograms per cubic meter ([mu]g/mp3s) annual arithmetic mean concentration and 65 [mu]g/mp3s 24-hour average concentration measured in ambient air. A description of the NAAQS and its calculation can be found in the July 18,1997 Federal Register Notice. A quality system for the PMb2s.b5s program was developed in order to achieve the data quality objectives (DQOs) that were developed for this program. In order to meet these DQOs, measurement quality objectives were developed for the data quality indicators of precision, bias, accuracy and completeness. The report identifies the data quality indicators and how the estimates of these indicators were derived, evaluates the results, and provides conclusions recommendations for future improvements.