PAMS Data Analysis and Reports
Data Analysis and Reports
The principal objectives of the PAMS program can be summarized as follows:
- NAAQS Attainment and Control Strategy Development: Including attainment / nonattainment determinations, assessment of the relative contributions of local and upwind sources, boundary conditions for photochemical modeling, episode selection, and model evaluation.
- SIP Control Strategy Evaluation: Evaluation of the effectiveness of implemented control strategies.
- Emissions Tracking: Including corroboration of NOx and VOC inventories and trends, corroboration of VOC species source profiles, and analysis of air toxics.
- Ambient Trend Appraisals: For O3, NOx, total and speciated VOC. Including adjustments for variations in meteorological conditions.
- Exposure Assessment: Including estimation of risk levels and the size of effected populations.
For more information on PAMS Data Uses, see Code of Federal Regulations, 40 CFR Part 58 Appendix D, Section 4.1 (page 34)
The following reports contain information on how PAMS data can be used to meet the stated objectives. Particular emphasis is placed on describing pertinent data analysis tools and techniques.
PAMS Data Analysis Workshop Workbook - October 1997 - EPA has sponsored PAMS Data Analysis Workshops in various locations across the country. The central objective of these workshops was to present, explain, and discuss various methods, procedures, and tools for use in analyzing PAMS and similar aerometric data. This HTML document was culled from the seven different workshop workbooks. Sections include: Data Validation, Biogenics, Ozone Forming Potential, E.I. Validation, Receptor Modeling, UAM versus Ambient Data, NOx/NOy and SPAs, Upper-Air Met Data, Transport Analysis, and Trends Analysis.
1996 Data Analysis Results Report - October 1996 - This report is a compilation of analytic examples illustrating the uses of PAMS data. Chapters include: Characterization of Ambient Air Quality for Ozone and Its Precursors; PAMS Data in Support of Ozone Modeling Applications; Evaluation of Emission Factors, Models and Inventories with PAMS Data; Observational Based Methods for Determining VOC/NOX Effectiveness; and Quality Assurance
A Workbook for Exploratory Analysis of PAMS Data (PDF) (36kb, about PDF) - June 1995 - The purpose of this workbook was to describe exploratory data methods useful in preliminary investigation of data collected from PAMS. In essence, this workbook illustrates a condensed sampling of 'first look' analyses which will become part of a much broader set of analytical approaches to achieve stated PAMS objectives
Recommendations For Analysis of PAMS Data (PDF) (20kb, about PDF) - February 1994 - Though a bit dated, this document is an invaluable resource. It presents a range of statistical analysis techniques capable of addressing the varied objectives of the PAMS program. See Page 3 for a summary of the program objectives cross listed with associated data analysis procedures. A special appendix section provides details on Statistical Trend Detection and Analysis Methods.
AMDAS: AMDAS (The Ambient Monitoring Data Analysis System): AMDAS is a PC-based, user-friendly, menu driven program that provides air quality analysts and managers with easy point and click access to air quality data for browsing, preparing tabular and graphical summaries, and performing statistical analyses. No knowledge of statistical data analysis software programs is required to use AMDAS. AMDAS currently includes features specifically designed for the analysis of meteorological and air quality data contained in EPA's Aerometric Information Retrieval System (AIRS). AMDAS can be used to analyze meteorological data, routine air quality data (i.e., hourly ozone, oxides of nitrogen, carbon monoxide, etc.), speciated VOC and carbonyl compound data (i.e., PAMS data), and atmospheric particulate matter data, including PM-10 and PM-2.5 total mass and speciated sample data. AMSDAS can be obtained from the Enhanced Ozone & Precursor Monitoring web site located at http://www.environ.org/amdas/ (see Resources - Tools).