Quality Control – Part II Tim Hanley EPA Office of Air Quality Planning and Standards.

Slides:



Advertisements
Similar presentations
EPA Methods 3A, 6C, 7E, 10 & 20 Corrections to May 15, 2006 Final Rule That Updated the Methods That Updated the Methods Foston Curtis US EPA.
Advertisements

Module 61 Module 6: Uncertainty Don’t just calculate—first think about sources of error, and don’t double-count errors.
PM-2.5 FEM Requirements for Met One BAM Glenn Gehring, Technology Specialist Tribal Air Monitoring Support (TAMS) Center
Why do we lose analyzer data? Monitor malfunction DAS malfunction Power outages Environmental problems Wildlife damage Vandalism Operator error.
EXPERIMENTAL ERRORS AND DATA ANALYSIS
Measurement System Evaluation pp Needed because total variance of process recorded is the sum of process variation and measurement variation.
Laboratory Quality Control
Air-Water Heat Exchanger Lab In this lab, YOU will design, conduct, and analyze your experiment. The lab handout will not tell you exactly what to measure.
Statistical Concepts (continued) Concepts to cover or review today: –Population parameter –Sample statistics –Mean –Standard deviation –Coefficient of.
Statistical Process Control
Data Handling l Classification of Errors v Systematic v Random.
Quality Control Barbara Weberman MT(ASCP) Oakland County Health Division Laboratory Supervisor.
Chapter 11 Quality Control.
Short Course on Introduction to Meteorological Instrumentation and Observations Techniques QA and QC Procedures Short Course on Introduction to Meteorological.
Measurement System Analysis Kevin B. Craner Boise State University October 6, 2003.
1 Guest Speaker: Bill Frietsche US EPA.  April 7: QA Systems, EPA definitions, PQAOs and common sense – Mike Papp  April 14: Routine Quality Control.
Presented by: Mike Hamdan South Coast Air Quality Management District Diamond Bar, CA Presented at: The Tribal Air Monitoring Training, Pechanga Reservation,
Quality Assessment 2 Quality Control.
Guest Speaker: Jeremy Howe Little River Band Of Ottawa Indians The Measuring Sticks of Air Monitoring.
Debra Waller NJDEP-Office of Quality Assurance
What to compare against the validation templates (see templates in course webpage: Resources/Validation%20Templates%20from%20Red.
EPA Precursor Gas Training Workshop Precursor Gas Quality Assurance Implementation Dennis K. Mikel EPA Office of Air Quality Planning and Standards.
Quality assurance of sampling and analytical instruments
Institute for Tribal Environmental Professionals Tribal Air Monitoring Support Center Melinda Ronca-Battista Brenda Sakizzie Jarrell Southern Ute Indian.
Quality Assurance/ Quality Control
AMP255 – Precision and Bias Data Report 2008 AQS Conference The AMP255 Precision and Bias Data Report August 22, 2008 Presented by Jonathan Miller EPA.
1 Guest Speaker: Brandy Toft Leech Lake Ojibwe.  Overview of FRM/FEM/ARM status, requirements, and reporting  QC (routine checks, audits, and method-
Accuracy and Precision
Success depends upon the ability to measure performance. Rule #1:A process is only as good as the ability to reliably measure.
Metrology Adapted from Introduction to Metrology from the Madison Area Technical College, Biotechnology Project (Lisa Seidman)
 April 7: QA Systems, EPA definitions, PQAOs and common sense – Mike Papp  April 14: Routine Quality Control and Data Management (1-pt QC, flow rate,
Error, Accuracy, Precision, and Standard Deviation Notes.
1 Saxony-Anhalt EU Twinning RO 04/IB/EN/09 State Environmental Protection Agency Wolfgang GarcheWorkshop European Standards Requirements of.
Automated CBC Parameters
Quality Control/ Quality Assurance Annabelle Allison ITEP/TAMS Center.
Quality Control Lecture 5
Your measurement technology partner for global competitiveness CSIR National Metrology Laboratory The National Metrology Laboratory of South Africa Feedback.
Laboratory QA/QC An Overview.
Appendix A: Calculations for Data Quality Assessment QC check statistics Precision calcs Bias calcs PM stats Reporting: quarterly and annual.
CARB Continuous PM 2.5 Monitoring Activity (BAM’s) Reggie Smith California Air Resources Board.
Data Submittals to AQS Nate Herbst Southern Ute Indian Tribe.
Chapter 36 Quality Engineering (Part 2) EIN 3390 Manufacturing Processes Summer A, 2012.
Why do we need to do it? What are the basic tools?
 April 7: QA Systems, EPA definitions, PQAOs and common sense – Mike Papp  April 14: Routine Quality Control and Data Management (1-pt QC, flow rate,
Validation Defination Establishing documentary evidence which provides a high degree of assurance that specification process will consistently produce.
Measurement Quality Objectives = Data Validation Requirements Excerpted from EPA QA Handbook Volume II (aka “Redbook”)
WHAT IS THE CHEROKEE NATION? Cherokee Nation Air Quality Data Management Concepts for Quality Data Collection Ryan Callison.
Quality Control Internal QC External QC. -Monitors a test's method precision and analytical bias. -Preparation of quality control samples and their interpretation.
Module 11 Module I: Terminology— Data Quality Indicators (DQIs) Melinda Ronca-Battista ITEP Catherine Brown U.S. EPA.
Quality Management & Operations Support Branch Quality Assurance Section Presented By: Webster Tasat.
 Routine viral diagnostics: indirect and direct detection of viruses. ◦ Indirect detection: serological tests; ◦ Direct detection:  Viral antigens;
Diagnostic clinical chemistry
Overview of Instrument Calibration Presents by NCQC, India.
BACK TO BASICS Quality Assurance and Validation Gaseous NAAQS Pollutants (O3, NO2, SO2, CO) By Kendall Perkins May 17, 2006.
Quality is a Lousy Idea-
Presented by Harry C. Elinsky, Jr. Filtech, Inc.
Accuracy and Precision
Laboratory Quality Control
Accuracy and Precision
Air-Water Heat Exchanger Lab
Quality is a Lousy Idea-
Uncertainty and Error
Chapter 11 Quality Control.
Module 6: Uncertainty Don’t just calculate—first think about sources of error, and don’t double-count errors Presentation of Uncertainty: 1. Components.
Introduction To Medical Technology
Quality Control Lecture 3
QA/QC Gaseous Pollutants mini-course TAMS Center February 2009.
▪Internal quality control:
Precision, Bias, and Total Error (Accuracy)
Quality Assessment The goal of laboratory analysis is to provide the accurate, reliable and timeliness result Quality assurance The overall program that.
Presentation transcript:

Quality Control – Part II Tim Hanley EPA Office of Air Quality Planning and Standards

2 Error …the difference between your answer and the “truth”

3 Continuous PM QC Instrument Stability Checks (EPA calls this general QA in their 1995 memo; see Attachment A in the TAMS template QAPPs) Precision (wiggle) Bias (jump)

4 Instrument Stability Internal diagnostics conducted with each measurement (no error codes) TEOM uses standard filter kit available from dealer BAM uses standard foil or internal source Use kits more frequently at beginning of program, thereafter as necessary and at least twice a year

5 Results of Stability Checks Use dealer’s guidelines Within 2.5% for TEOM standard filter Within 7% for BAM foil Plot results on a control chart (can also plot other parameters on a control chart)

6 Verifying the accuracy of your Transfer Standard Option 1: send standard to manufacturer, who has NIST-traceable equipment; they send you back your standard with certificate of traceability Option 2: use natural standards, such as freezing ice water for temperature, carefully document your calibration according to a standard method

7 Single (One) Point Verifications # Verification occurs when you conduct check using one flow rate or concentration or value # Span is an example of one-point check, meaning spanning from zero up to a range # Verifications DO NOT involve any changes to your equipment

8 Multi-Point Verifications Check of response of instrument to more than one flow rate, concentration, or value Usually zero, a low level, and at the upper end of the range expected to be measured

9 Example of Verification Perform check of equipment Flow rate for PM Concentration for gas Internal mass for TEOM This may be single point or multi-point If within specifications, record and continue

10 Next steps of QC If you are outside limits Review procedures & logs to identify problem Go back and review data—you may have to throw out data to last good check Fix, document and report (when significant)

11 Who can conduct verifications? Routine instrument-stability checks can be conducted by site operator Periodic assessments (may be every 6 months, may be every year) should be conducted by someone OTHER than site operator QAPP specifies how often checks are conducted, by whom, and what to do if results are off

12 Calibrations If results NOT within specs, instrument must be adjusted This adjustment means that response of instrument is changed, which is defined as a CALIBRATION Usually involves a zero and a span After calibrating, check again at a single point

13 Precision Error Unavoidable Sometimes up, sometimes down– “random” Estimated by measuring the same thing several times Minimized by carefully following procedures

14 Precision Collocated analyzers are too expensive, so use repeated measurements of same thing to estimate precision Flow rate is most important parameter for PM Flow rate changes with time—variance is estimate of precision error

15 Estimating Precision in the Field Somehow have to estimate random “wiggle” error Can be done with side-by-side instruments (same sample of air) as with filter-based FRM instruments Can be done with repeated measurements (same sample of air) Verify results are within limits

16 Two Ways to Estimate Precision of Flow Rate At beginning of program, use your external flow rate transfer standard in field, compare flow rate transfer standard’s result with that shown (or set) on analyzer (one-point check) Conduct this check at least every 2 weeks

17 During the First Months Ensure that your external flow rate transfer standard is checked against another flow rate transfer standard at least once (every six months if you want to use second, easier way to assess precision) Record every check of analyzer’s flow rate, verify it is within 4% of external flow rate transfer standard’s flow rate for 3 consecutive biweekly checks

18 Easier Way to Estimate Precision After Several Months of Stable Operation Use “alternative procedure”: Record analyzer’s set point flow rate, assume this is same flow rate that would have been measured by external flow rate transfer standard Record analyzer’s indicated flow rate Calculate relative percent difference, use value as precision error of flow rate (use relative percent difference calculation; see cells B5 – G28 in the Tribal Data Analysis spreadsheet, pg “PM 10 Automated”)

19 Calculating Precision Error Because we don’t know which device is better, no “truth,” so use average as “truth” X = one sampler Y = the other sampler then precision error = ( )

20 Coefficient of Variation (COV) is another statistic to represent imprecision COV = coefficient of variation Where s = the sample standard deviation, or STDEV in Excel d s or

21 Bias Error Minimized by calibrating equipment against a standard Make sure standard is certified against NIST-traceable standard (keep certificate!) Compare this transfer standard to field equipment Measures any bias in your equipment

22 Quantifying Bias Error T = the standard’s result, or “truth” Y = your equipment’s result Your equipment’s bias = T - Y T

23 Definitions EPA calls “accuracy” what others call “total error” Accuracy, or total error, combines both precision and bias errors For continuous PM analyzers, difference between assessing precision and assessing accuracy is that to assess accuracy, flow rate transfer standard used must not be your routine field transfer standard

24 Continuous PM Accuracy Can estimate only accuracy of flow rate, but since this is most important parameter, it’s okay Use external flow rate transfer standard FROM A DIFFERENT CALIBRATION SET to compare indicated (or set) flow rate of analyzer with that shown by transfer standard

25 Accuracy (cont.) Flow rate transfer standard must not be same used to calibrate analyzer (from different calibration set) Audit may be conducted by someone from your tribe, just not routine site operator Conduct this flow rate audit at least once per year for each analyzer

26 Accuracy Calculations Relative percent difference between audit flow rate transfer standard and your analyzer’s flow rate is estimated accuracy of your flow rate Since there is no other (inexpensive) way to estimate accuracy, this is your estimated accuracy, or total error

27 Control Charts Try to keep something steady, but it naturally varies 95% of time within 2 s of average 99.8% of time within 3 s of average red lines within 2 s of average S = sample standard deviation

28 Example Control Chart (see example QAPPs) on Disk