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. 2020 Apr 21:8:126.
doi: 10.3389/fpubh.2020.00126. eCollection 2020.

Time Series of Potential US Wildland Fire Smoke Exposures

Jason A Vargo  1
Affiliations

Time Series of Potential US Wildland Fire Smoke Exposures

Jason A Vargo. Front Public Health. .
No abstract available

Keywords: air pollutants; climate change; exposure; remote sensing; smoke; wildfire.

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Figures

Figure 1
Figure 1
Processing of the data using example of Sonoma County Oct. 11, 2017. (A) Example visible imagery; (B) HMS Smoke plumes layer for Oct. 11, 2017; (C) Simplification of all plumes by density; (D) resulting table of the intersection of plumes and centers of population; (E) Resulting maximum density smoke assignment for Sonoma Block Group centers of population; (F1) Total number of Sonoma residents under each density category; (F2) Population-weighted smoke density for Sonoma County.
Figure 2
Figure 2
Examples of how the data may be visualized and reused. (A) Shows a time series for the number of people under different categories of HMS Smoke for the full dataset (all US, June 2010–Nov 1, 2019); (B) The number of days of heavy smoke for any part of the county (contiguous US, June 2010–Nov 1, 2019).
See this image and copyright information in PMC

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