In 2004-2005 MARAMA analyzed PM2.5 mass and speciation data in the MARAMA region in support state and local PM2.5 forecasters, planners, and air quality managers. MARAMA analyzed data from FRM and continuous monitors in the region and prepared a report titled Correlating Federal Reference Method and Continuous PM2.5 Monitors in the MARAMA Region.
Summarized the types of FRM and continuous PM2.5 monitors operated by state and local agencies in the MARAMA region,
Described a method for correlating FRM and continuous monitors, and
Provided preliminary correlations for eleven monitoring sites.
The report showed, that for most sites, a single correlation equation applied year-round is not adequate to capture the seasonal variability between FRM and continuous monitors.
A summary of the project is here: PM2.5 Data Analysis Project Fact Sheet - April, 2004
(Both reports are posted in Adobe Acrobat® format.)
The primary objective of the MARAMA PM2.5 forecasting assistance project was to develop and evaluate statistical-based tools to support PM2.5 forecasting for nine cities in the MARAMA region. The nine cities included Charlotte, North Carolina; Bristol, Roanoke, and Richmond, Virginia; Washington, D.C.; Baltimore, Maryland; Philadelphia, Pennsylvania; Wilmington, Delaware; and Newark/Elizabeth, New Jersey.
For this study MARAMA hired SAI International to analyze PM2.5 and meteorological data using Classification and Regression Tree (CART) analysis software and the development, testing, and evaluation of interactive forecasting tools for each area. Data and information gathered throughout the course of the project were used, together with the CART analysis results, to describe the relationships between meteorology and PM concentration and, specifically, the conditions associated with high PM2.5 events in each forecast area.
For more information read the PM2.5 Forecasting Project Final Report - November 10, 2004 (Adobe Acrobat® format)