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Emission Inventories QA/QC

and Quality Assurance Project

Plans

Angelique Luedeker and Melinda Ronca-Battista, ITEP/TAMS Center

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Welcome To EI Advanced

This is the beginning of the second training, EI Advanced, in the EI/TEISS training series

This training is designed for those needing to collect their own data and use TEISS to estimate emissions for those sources

Are there any questions from the first training?

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• Quality Control (QC) • Documenting data sources• Rechecking calculations• Accuracy checks • Use of approved standardized

procedures for emissions calculations

• Quality Assurance (QA)• External review by a third party

Definitions

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QA/QC: Where to Start?• Prepare QAPP that answers

• What are you going to report in EI?

• What will you use the EI data for?

• How are you going to review the data?

See template QAPP

• Potential uses of EI data will define minimum level of QA/QC

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QA/QC Levels

• Level 1 – supports enforcement, compliance, or litigation

• Level 2 – supports strategic decision making

• Level 3 – general assessment or research

• Level 4 – Inventory compiled entirely from previously published data or other inventories

From US EPA’s Emission Inventory Improvement Program (EIIP) Vol. 6, page 2.1-5

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Data Quality Objectives (DQOs)

• DQOs• Broad statement on how

“good” or “true” your EI results will be

• EI ESTIMATES emissions. You can’t know exact “truth” about quantity or type of pollutants from a given source

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DQOs are set, now what’s the plan?

• QC should be included in each EI task• QC for data collection• QC for calculations• QC for choosing estimation

methods

• Allocate at least 10% of resources for QA activities

• Don’t wait until the end!

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• Check transcription of data during inventory preparation and reporting• Transcription of data from

raw data collection sheets into electronic spreadsheets or TEISS calculators

• Transcription of data results from TEISS summary tables to EI report

QC: What is included?

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• Check calculations• Including calculation of

throughput, if necessary• If not calculating emissions with

TEISS calculator, check that throughput multiplied by EF equals emissions

• Verify that unit conversions are correct

• Verify that units of your data match units TEISS or equation asks for

QC: What is included? (cont.)

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Unit Example

Asks for data in units of 1000 gallons

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• Verify you’ve documented all data sources-EI logbook!

• Completeness checks

• Consistency checks (ex: using same area for different nonpoint throughputs)

• Double counting

• Reasonableness (look for county EI online)

QC: What is included? (more cont.)

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• Keep a file for each source (paper and computer)

• Use checklist to record the person and date who did:• Data collection• Data calculations• Review of data reasonableness (initials,

date, comments)• Review of data completeness• Data coding and recording• Data tracking (full file names and

paths)

QC: How to track it

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• Most commonly used• Is this number reasonable? Does it

make sense?

• Never use the reality check as the sole criterion of quality

• Find data for similar sources on EPA’s EIS Gateway system

QC Methods: Reality Checks

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• Independent review of calculations, assumptions, and/or documentation by person with moderate to high level of technical experience

• QA is a form of peer review

• Can also be included as part of QC

QC Methods: Peer Review

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• Most reliable way to detect computational errors

• General rule, minimum of 10% of calculations checked, depending on• Complexity of calculations• Inventory DQOs• Rate of errors encountered

QC Methods: Replication of Calculations

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• Automated data checks can be• Built-in functions of databases, models,

or spreadsheets, or stand-alone programs

• Automate to• Check for data format errors (like

Export to NEI component of TEISS)• Conduct range checks• Provide look-up tables to define

permissible entries (like TEISS selection boxes)

QC Methods: Computerized Checks

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TEISS needs a Human Touch

• TEISS is an excellent tool; however, it needs your guidance

• Be familiar with emission methodologies on which TEISS calculators are based (read at least the EPA info webpage accessible from the TEISS calculators)

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Finding Calculator Methodology

• Scroll down on summary screen to get to Reference and Online Link

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Why Review the Methodology?

• What do I select here?

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Because the Methodology Has

Answers• Methodology: used to calculate emissions for 4 different “station operations” (in most cases)• Underground tank filling• Underground tank breathing• Vehicle refueling displacement losses• Vehicle refueling spillage

• Each operation should be included as a different Process in TEISS

• If using an EPA model to calculate onroad emissions, make sure vehicle refueling emissions are not double counted

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• Missing or duplicate facilities

• Improper facility locations

• Missing operating or technical data

• Erroneous technical data

• Double counting

• Errors in calculations

• Data entry and transposition errors; data coding errors

Typical Errors in EIs

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Most Typical QC Error

Letting it slide

• Make sure to include time for QA/QC

• Pressure to gather data and “get it done” can harm documentation & verification

• Putting it off to project’s end—set aside at least 4 hours a week for QC to start

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• Ensure final written compilation of data accurately reflects inventory effort

• Support QA assessments of inventory

• Ensure reproducibility of inventory estimates

• Enable inventory user or reviewer to assess quality of emission estimates and identify data references

• Foundation for future inventories

QC Documentation

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What about QA?• Independent review by third party,

ITEP for example

• Checks effectiveness of your QC

• Allocate 10% of project resources to QA

• Again, don’t wait until the end

• QA person checks a fraction of data entry, calculations, documentation, etc.

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What is a QAPP

Tool for project managers (YOU) and planners (YOU) to document the type and quality of information needed for environmental decisions (signatures commit to doing what it says)

Describes the methods for collecting and assessing information

Required by EPA

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Why is a QAPP important?

EIs are the Foundation of Decisions (agreements about who is going to do what are documented)

Sets Goals and Objectives

Road Map of How to Conduct EI

Provides Long-term Guidance

Makes Writing the EI Report Easier

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TEISS Inventory Preparation Plan (IPP)

Wizard

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Determine the Use

Air quality program planning

Assess contributions of future new sources (document baseline)

Assess need for tribal permitting program

Support development of TIP

Support participation in regional AQ planning efforts

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Next Step in a Level 1, 2, or 3 EI

Start with a QAPPList sources on tribal land you will estimate emissions forUse TEISS calculators to determine data you will need to collect to estimate emissions

The Level 4 EI you have been working on can be the off-reservation section of your Level 1, 2, or 3 EI

Data from off-reservation sources need to be in a separate section than data from on-reservation sources in QAPP and EI

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QAPP: Data Source Types Sections

For each source type (point, nonpoint, etc.), list the sources Facility Name Address Type of Source

Colville Indian Precision Pine

373 Omak Riverside-Eastside Road, Omak

Lumber Manufacturing, Title V Permit, Point Source

Colville Indian Plywood and Veneer

1100 Eighth Avenue East, Omak

Manufacturing Veneer, Plywood and Power, Title V Permit, Point Source

Atlas Pellets 325 Omak Riverside-Eastside Road, Omak

Manufacture Wood Pellets for Stoves

Granite Northwest Inc.

249-B Rodeo Trail Road, Okanogan

Asphalt Production and Paving

Coulee Dam Concrete

26 Canyon Street, Elmer City

Ready Mix Concrete, Sand and Gravel

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Data Quality Objectives and Indicators

Data Quality Objectives (DQOs)General statements for accuracy, completeness, representativeness, and comparabilityExample, Completeness DQO: Point and Nonpoint NEI data downloaded for area of concern

Data Quality Indicators (DQIs)More specific measure of progress towards each DQOExample, Completeness DQI: 100% of Title V sources in the NEI within the area of concern included in EI

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Examples from Approved QAPPs:

DQI

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QAPP: QA/QC Section

How are data collected?How are data documented?How are data checked?Where are the data stored?How are the data reported?

Just type what makes sense that you can do;

nothing fancy

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Example of Details –Data Management and

ReportingDescribe how data will be stored

In TEISSPaper and electronic filing system

Data collection and calculations on paper

Calculations done in spreadsheets

Final Products of EICompleted TEISS project – has ALL the detailsPaper report – gives general details, summarizes resultsPresentation – summarizes results

1+ sentence

each

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Just G.I.O.W.

Do your homework now—the longer you wait the harder it gets