Check out an assistant for scientific analysis and research of air and water. Work with a collection of instruments for managing and tracking quality compliance parameters of selected environments. Compare readings for different conditions and locations.
EPA’s Positive Matrix Factorization (PMF) Model is a mathematical receptor model that provides scientific support for air and water quality standards, exposure research, and a wide range of environmental data analyses from PCB contaminated sediments to indoor air quality.
v5.0 [Apr 24, 2013]
- Added arrows to allow users to scroll through the information in the DISP and BS-DISP results window
- Having the warning message regarding species name matching display only for the first time
- Added a minimum height to show equation box properly in a full-size constraints window
- Show total variable in bold when loading from a config file
- Fixed Conc Time Series Clear Selections button (bottom left corner) on top of selection box when under windows medium font
- Confirmed GUI is correctly processing BS-DISP output (calculation of lower bounds) and DISP output (dQ max)
- Error in configuration file storing user exclude species in a sample fixed
- Fixed equation view on constraints screen when screen is full-size
- Increased precision on summary stats output to up to six decimal places
- Added source contribution statistics output by site ID, species and factor
- Removed yellow from time series graph; replaced with green
- Captured ME2 error when datasets have more than 220 columns
