Summary and analysis of approaches linking visual range, PM sub(2.5) concentrations, and air quality health impact indices for wildfires

• Published in: Journal of the Air & Waste Management Association (1995) Vol. 63; no. 9; pp. 1083 - 1090
• Main Authors: O'Neill, Susan M, Lahm, Peter W, Fitch, Mark J, Broughton, Mike
• Format: Journal Article
• Language: English
• Published: 01.09.2013
• Subjects: Air quality; Categories; Health; Mathematical analysis; Methodology; Smoke; Visual; Wildfires
• ISSN: 1096-2247; 2162-2906
• DOI: 10.1080/10962247.2013.806275

Several U.S. state and tribal agencies and other countries have implemented a methodology developed in the arid intermountain western U.S. where short-term (1- to 3-hr) particulate matter (PM) with aerodynamic diameters less than 2.5 mu m (PM sub(2.5)) concentrations are estimated from an observed visual range (VR) measurement. This PM sub(2.5) concentration estimate is then linked to a public health warning scale to inform the public about potential health impacts from smoke from wildfire. This methodology is often used where monitoring data do not exist (such as many rural areas). This work summarizes the various approaches, highlights the potential for wildfire smoke impact messaging conflicts at state and international borders, and highlights the need to define consistent short-term health impact category breakpoint categories. Is air quality "unhealthy" when 1- to 3-hr PM sub(2.5) is greater than or equal to 139 mu g/m super(3) as specified in the Wildfire Smoke, A Guide for Public Health Officials? Or is air quality unhealthy when 1- to 3-hr PM sub(2.5) is greater than or equal to 88.6 mu g/m super(3) as specified in the Montana categorizations? This work then examines the relationship between visual range and PM sub(2.5) concentrations using data from the Interagency Monitoring of PROtected Visual Environments (IMPROVE) program and the IMPROVE extinction coefficient ( beta ext) equation to simulate an atmosphere dominated by smoke for sites in the arid intermountain western U.S. and great plains. This was accomplished by rearranging the beta ext equation to solve for organic mass as a function of VR. The results show that PM sub(2.5) and VR are related by PM sub(2.5) = 622 * VR super(-0.98) with a correlation of 0.99 and that at low VR values (<10 km) a small change in VR results in a large change in PM sub(2.5) concentrations. The results also show that relative humidity and the presence of hygroscopic pollutants from sources other than fire can change the VR/PM sub(2.5) relationships, especially at PM sub(2.5) concentrations less than approximately 90 mu g/m super(3).