Science Inventory

CHEMICAL MASS BALANCE MODEL: EPA-CMB8.2

Citation:

Coulter, C. T., R. A. Wagoner, AND C W. Lewis. CHEMICAL MASS BALANCE MODEL: EPA-CMB8.2. Presented at International Symposium on Measurement of Toxic and Related Air Pollutants, Research Triangle Park, NC, September 12-14, 2000.

Impact/Purpose:

To use the tools of x-ray fluorescence (XRF), ion chromatography (IC), scanning electron microscopy (SEM), thermal optical (organic and elemental carbon -- OC & EC), and radiocarbon analysis combined with various receptor models to determine the contributions of sources to PM as measured in outdoor (ambient) environments or particular microenvironments involving human exposure issues.

Description:

The Chemical Mass Balance (CMB) method has been a popular approach for receptor modeling of ambient air pollutants for over two decades. For the past few years the U.S. Environmental Protection Agency's Office of Research and Development (ORD) and Office of Air Quality Planning and Standards (OAQPS) have collaborated to develop a new generation of CMB software, CMB8. Developmental work was initiated under EPA contract by the Desert Research Institute and is being continued by Pacific Environmental Services. The current version, EPA-CMB8.2, incorporates the upgrade features that CMB8 has over CMB7, but also addresses problems identified with CMB8 and adds enhancements for a more robust and user-friendly system. EPA-CMB8.2 features include: (1) full use of Windows (32-bit) capability for file access/management, (2) a tabbed-page interface that facilitates the sequence of steps for doing a CMB calculation, (3) multiple indexed arrays for selecting fitting species and sources, (4) versatile display capability for ambient data and source profiles, (5) mouse-overs and on-line help screens, (6) increased attention to volatile organic compounds (VOC) applications, (7) correction of some CMB7 and CMB8 flaws, (8) more options for input and output data formats, (9) addition of a more accurate least squares computational algorithm, (10) a new treatment of source collinearity, and (11) choice of criteria for determining best fit.

The information in this document has been funded wholly or in part by the United States Environmental Protection Agency under Purchase Order No. 9D-1844-NTSA to Pacific Environemental Sciences. It has been subjected to Agency review and approved for publication. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ PAPER)
Product Published Date:09/12/2000
Record Last Revised:06/21/2006
Record ID: 63505