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Quality Assurance Procedures for CCAQS Data

Quality Assurance Procedures for CCAQS Data. Part 1 - QA of Field Measurement Data Part 2 - QA of Emissions Data. Part 1 - QA of Field Measurement Data. QA performed by: Field Data Sources (contracted & routine) QA/QC and Data Analysis Contractors

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Quality Assurance Procedures for CCAQS Data

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  1. Quality Assurance Procedures for CCAQS Data • Part 1 - QA of Field Measurement Data • Part 2 - QA of Emissions Data

  2. Part 1 - QA of Field Measurement Data • QA performed by: • Field Data Sources (contracted & routine) • QA/QC and Data Analysis Contractors • Users (e.g. Stakeholder Data Analysis and Modeling of Episodes)

  3. CCAQS Database • Standards for input formats, variables, and files structures, etc. • Maintains all reported observations. Each observation is assigned... • One of five data levels that describes the QA/QC procedures that the observation has been subjected to. • A validity flag indicating the validity of the observation following the QA/QC procedure (e.g. V=valid, I=invalid, & S=suspect). • Standards for Data and Validity Flag Re-Submittal

  4. QA/QC Data Levels

  5. Data Sources • CCOS Contractors • CCAQS format, variables, and QA flags • Received as Level 1a • Database processes to Level 1b after automated consistency and reasonability checks (format, units, variable names, range checks, duplicate checks, etc.) • Supplemental (Non-CCOS) Sources • Their format, variables, and QA flags • Assumed to be Level 1a • CCAQS standardization conducted in-house and under contract with T & B systems • Submitted to database for automated Level 1b checks

  6. QA/QC Status • CCOS - • Validation of CCOS Data (Contractor performance problems) • Resubmittals: Episodic analyses by ARB • Final Validation of CCOS Field Data Project in place with Sonoma Technology • CRPAQS - • Data Analysis and QA/QC in Progress

  7. Final CCOS Data QA Contract(in place) • Comprehensive, independent check of database and the process to manage and QA the data • Audit/inventory of database contents versus field study contracts • Summary of all QA/QC conducted • ID, flag, and re-submit any gross outliers • Perform focused, in-depth analyses with input from TC • Summarize any problems encountered and provide recommendations

  8. Part 2 - QA of Emissions Data • QA performed via: • District-ARB Interaction: • Emission Inventory Tech. Adv. Committee (EITAC) • QA/QC of ARB’s ‘official’ inventory database, CEIDARS • QA/QC of ARB’s growth/control forecast system, CEFS • Gridded Inventory Coordination Group (GICG) • QA/QC of Modeling inputs • User Feedback • Modeling & Data Analysis • SIP Planning

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