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This document outlines the principles of quality assurance (QA) in monitoring operations, emphasizing the need to meet user expectations and regulatory standards. It defines quality, describes measurement techniques, and introduces key quality assurance activities such as planning, documentation, and data validation. The Quality Assurance Project Plan (QAPP) covers objectives for accurate data collection, sampling methods, calibration, and quality control checks. It also emphasizes the collaborative responsibility of all team members in achieving quality goals and provides contacts for QA personnel.
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LEADS Quality Assurance Summary Robert Brewer (512) 239-1618 Monitoring Operations Division Network QA Manager
Introduction • What is Quality? • How do you measure it? • How do you get it?
Quality - Quality is the sum of features and properties/characteristics of a process, item, or service that bears on its ability to meet the stated needs and expectations of the user. (EPA definition) - Quality Assurance is an integrated system of activities designed to achieve quality products.
(Data) Quality Measures • Accuracy • Precision • Completeness • Comparability • Representativeness
How is Quality Assured? • Planning and Organization (Who does What, When, Where, Why, and How) • Documentation and Training • Use and Maintenance of Appropriate Sampling and Analysis Methods • Measurement Traceability to Authoritative Standards (NIST) • Quality Control Checks • Data Validation • Data Quality Assessment • Corrective Action
Other QAPPs Documentation TNRCC Quality Management Plan NAMS/SLAMS/PAMS QA Project Plan Manuals SOPs LEADS 001 - Datalogger (Zeno Model B), Operation and Troubleshooting LEADS 002 - Calibrator (DASIBI 5008), Operation and Troubleshooting LEADS 006 - Standardization of CAMS Span Sources (DASIBI 5008) LEADS 007 - Span Source Audit of Calibration Systems (DASIBI 5008) Etc. QA Manual CAMS Manual CAMS Preventative Maintenance Instruction Manual
Quality Assurance Project Plan (QAPP) Contents • Title and Approval Sheet • Table of Contents • Distribution List • Project/Task Organization • Problem Definition/Background • Project/Task Description • Data Quality Objectives (DQO) for Measurement Data • Special Training Requirements/Certifications • Documentation and Records • Sampling Process Design (Experimental Design) • Sampling Methods Requirements • Sample Handling and Custody Requirements • Analytical Methods Requirements • Quality Control (QC) Requirements
QAPP Contents (cont.) • Instrument/Equipment Testing, Inspection, and Maintenance Requirements • Instrument Calibration and Frequency • Inspection/Acceptance Requirements for Supplies and Consumables • Data Management • Assessments and Response Actions • Reports to Management • Data Review, Validation, and Verification Requirements • Validation and Verification Methods • Reconciliation with Data Quality Objectives
Measurement Traceability NO, NO2, NOx, SO2, H2S, CO Level Ozone Flow MO Cal Lab UV Photometer MO Cal Lab Primary Flow Standards NIST Gas Standards 1 CAMS Gas Standards 2 DASIBI 5008 Calibrator (O3 Generator) DASIBI 5008 Calibrator (NO, SO2, H2S, CO) CAMS O3 Monitor CAMS NO, SO2, H2S, & CO Monitors 3
Quality Control Checks • During Calibrations • Monitor Voltage and Concentration Outlier Checks • Concentration Spacing Check • Slope/Intercept Checks • Zero/Span Checks • Precision/Linearity Check • Converter Efficiency Checks (NOx & H2S) • During Span Checks • Monitor Voltage and Concentration Outlier Checks • Concentration Spacing Check • Zero/Span Checks • Linearity Check • Converter Efficiency Checks (NOx & H2S) • Span Source Audit - Checks the accuracy of the DASIBI 5008 Calibrator every 45 days
Data Validation • LEADS Automatic Data Validation • Meteorological Parameter checks • Multiple Parameter Validity checks • Negative Data Check • Validation based on Quality Control check results • LEADS Manual Validation • Human review of data • Graphical display of data versus time • Validator can select suspect data and apply appropriate validation codes or apply a different calibration slope and/or intercept
Data Quality Assessment • Accuracy - From Monitor Performance Audits once a year. Assessed in three concentration ranges for each pollutant monitor. • Precision - From the weekly Precision Check. The T-level concentration of the Span Check provides this data. • Completeness - % Data Return achieved by each monitor during a calendar quarter. • Data Quality Objectives - Stated in the QAPP
Corrective Action • LEADS Automatic Corrective Action - Data invalidated if Calibration or Span Checks Fail. • Daily Status Reports (Web Pages) provide calibration and span check results, and other information needed to determine the need for corrective action.
Conclusion Everyone involved in a monitoring project is responsible for some aspect of quality assurance. Working together we can meet or exceed our quality goals.
QA Contacts • Marie Streusand - NAMS/SLAMS QA Officer. Responsible for the QAPP. (512) 239-2610 • Bob Watson - Monitoring Operations Calibrations Laboratory Manager. Responsible for calibration of the DASIBI 5008, gas cylinders, O3 transfer standards, and flow meters. (512) 239-1876 • Bob Schultz - Audits CAMS. Trains and certifies QA personnel. (512) 239-1653 • Dewayne Ehman - Audits CAMS. Reviews Span Source Audit reports. (512) 239-1671 • Robert Brewer - Monitoring Operations Division Network QA Manager. (512) 239-1618