scholarly journals Projecting wildfire emissions over the south-eastern United States to mid-century

2018 ◽  
Vol 27 (5) ◽  
pp. 313 ◽  
Author(s):  
Uma Shankar ◽  
Jeffrey P. Prestemon ◽  
Donald McKenzie ◽  
Kevin Talgo ◽  
Aijun Xiu ◽  
...  

Wildfires can impair human health because of the toxicity of emitted pollutants, and threaten communities, structures and the integrity of ecosystems sensitive to disturbance. Climate and socioeconomic factors (e.g. population and income growth) are known regional drivers of wildfires. Reflecting changes in these factors in wildfire emissions estimates is thus a critical need in air quality and health risk assessments in the south-eastern United States. We developed such a methodology leveraging published statistical models of annual area burned (AAB) over the US Southeast for 2011–2060, based on county-level socioeconomic and climate projections, to estimate daily wildfire emissions in selected historical and future years. Projected AABs were 7 to 150% lower on average than the historical mean AABs for 1992–2010; projected wildfire fine-particulate emissions were 13 to 62% lower than those based on historical AABs, with a temporal variability driven by the climate system. The greatest differences were in areas of large wildfire impacts from socioeconomic factors, suggesting that historically based (static) wildfire inventories cannot properly represent future air quality responses to changes in these factors. The results also underscore the need to correct biases in the dynamical downscaling of wildfire climate drivers to project the health risks of wildfire emissions more reliably.

2002 ◽  
Vol 11 (4) ◽  
pp. 281 ◽  
Author(s):  
Michael J. Janis ◽  
Michael B. Johnson ◽  
Gloria Forthun

High spatial resolution maps of daily Keetch-Byram Drought Index (KBDI) are constructed for the south-eastern United States. KBDI is a cumulative algorithm for estimating fire potential from meteorological information, including daily maximum temperature, daily total precipitation, and mean annual precipitation. With few input parameters, the KBDI is attractive for providing estimates of fire potential at a large number of locations. The Southeast Regional Climate Center (SERCC) applies the original algorithms over daily time steps to maximize the response time in the event of rapidly increasing fire potential. Algorithms are applied to a network of 261 weather stations across the south-eastern United States to provide regional contour maps of KBDI as well as maps of week-to-week KBDI difference. Though uniformity and spatial density of weather stations and the consistency of input parameters are potential hurdles, it is shown that careful compilation of meteorological databases makes KBDI a tractable and valuable monitoring tool for automated fire-potential monitoring.


2009 ◽  
Vol 279 (1) ◽  
pp. 86-94 ◽  
Author(s):  
C. D. Camp ◽  
W. E. Peterman ◽  
J. R. Milanovich ◽  
T. Lamb ◽  
J. C. Maerz ◽  
...  

2020 ◽  
Vol 76 (12) ◽  
pp. 4018-4028 ◽  
Author(s):  
Thomas M Chappell ◽  
Rebecca V Ward ◽  
Kelley T DePolt ◽  
Phillip M Roberts ◽  
Jeremy K Greene ◽  
...  

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