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RPO Data Analysis/Monitoring Grant Guidance Review

RPO Data Analysis/Monitoring Grant Guidance Review. Extracted from the EPA’s 3/5/02 RPO 4 th Year Policy, Organizational & Technical Guidance. Key Data Analysis & Monitoring Element. For the committal SIP due between 2004 & 2006

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RPO Data Analysis/Monitoring Grant Guidance Review

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  1. RPO Data Analysis/Monitoring Grant Guidance Review Extracted from the EPA’s 3/5/02 RPO 4th Year Policy, Organizational & Technical Guidance

  2. Key Data Analysis & Monitoring Element • For the committal SIP due between 2004 & 2006 • A showing that emissions from the State contribute to impairment in class I areas outside the State • By the end of 2004 complete the analyses needed for their contribution assessment • Regional modeling is not necessarily needed but the analysis should be credible enough for state decision makers to make commitments towards their SIPs.

  3. Short-Term Milestones • Analyze existing data and information to develop an understanding of the regional haze problem specific to that RPO. • Characterize the air quality associated with the extent of the visibility impairment in the region • Identify additional data needs and technical analysis to support SIP/TIP requirements and time lines. • Develop technical training as needed.

  4. FY04 Monitoring • Continue to collaborate in analyzing existing data (IMPROVE, PM2.5, STN, Supersites, etc.) • Develop technical training as needed. • Obtain visibility data for urban sites. • Collect air quality and meteorological data, through supplemental monitoring projects, to address data gaps.

  5. FY04 Data Analysis • Finish identifying data needs, gaps, etc. • Implement strategies to deal with gaps. • Refine validated data archives accessible to all participants (data warehouse). • Ensure data sufficiency and/or document gaps. • Complete analysis of speciation profiles of potential contributing source categories so as to facilitate analyses of source contributions, individually and by category.

  6. FY04 Data Analysis • Determine data formats. • Complete source contribution assessments using statistical analysis techniques to determine • spatial and temporal distributions of PM2.5, • significant species components of these PM2.5 measurements, and • major source categories contributing to these species components, whether primary pollutants or precursors to secondary pollutants.

  7. FY04 Data Analysis • Complete assessments using data analysis and trajectory modeling techniques to determine the extent and magnitude of interregional transport among RPOs. • Develop technical training as needed. • Finalize draft analysis, including temporal and spatial analysis.

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