Application of an Original Wildfire Smoke Health Cost Benefits Transfer Protocol to the Western US, 2005–2015

2017 ◽  
Vol 60 (5) ◽  
pp. 809-822 ◽  
Author(s):  
Benjamin A. Jones ◽  
Robert P. Berrens
2020 ◽  
Vol 29 (11) ◽  
pp. 961
Author(s):  
Ruth Dittrich ◽  
Stuart McCallum

There has been an increasing interest in the economic health cost from smoke exposure from wildfires in the past 20 years, particularly in the north-western USA that is reflected in an emergent literature. In this review, we provide an overview and discussion of studies since 2006 on the health impacts of wildfire smoke and of approaches for the estimation of the associated economic cost. We focus on the choice of key variables such as cost estimators for determining the economic impact of mortality and morbidity effects. In addition, we provide an in-depth discussion and guidance on the functioning, advantages and challenges of BenMAP-CE, freely available software of the US Environmental Protection Agency (EPA) that has been used in a growing number of studies to assess cost from wildfire smoke. We highlight what generates differences in outcomes between relevant studies and make suggestions for increasing the comparability between studies. All studies, however, demonstrate highly significant health cost from smoke exposure, in the millions or billions of US dollars, often driven by increases in mortality. The results indicate the need to take health cost into account for a comprehensive analysis of wildfire impacts.


2019 ◽  
Vol 19 (2) ◽  
pp. 1013-1026 ◽  
Author(s):  
Coty N. Jen ◽  
Lindsay E. Hatch ◽  
Vanessa Selimovic ◽  
Robert J. Yokelson ◽  
Robert Weber ◽  
...  

Abstract. Western US wildlands experience frequent and large-scale wildfires which are predicted to increase in the future. As a result, wildfire smoke emissions are expected to play an increasing role in atmospheric chemistry while negatively impacting regional air quality and human health. Understanding the impacts of smoke on the environment is informed by identifying and quantifying the chemical compounds that are emitted during wildfires and by providing empirical relationships that describe how the amount and composition of the emissions change based upon different fire conditions and fuels. This study examined particulate organic compounds emitted from burning common western US wildland fuels at the US Forest Service Fire Science Laboratory. Thousands of intermediate and semi-volatile organic compounds (I/SVOCs) were separated and quantified into fire-integrated emission factors (EFs) using a thermal desorption, two-dimensional gas chromatograph with online derivatization coupled to an electron ionization/vacuum ultraviolet high-resolution time-of-flight mass spectrometer (TD-GC × GC-EI/VUV-HRToFMS). Mass spectra, EFs as a function of modified combustion efficiency (MCE), fuel source, and other defining characteristics for the separated compounds are provided in the accompanying mass spectral library. Results show that EFs for total organic carbon (OC), chemical families of I/SVOCs, and most individual I/SVOCs span 2–5 orders of magnitude, with higher EFs at smoldering conditions (low MCE) than flaming. Logarithmic fits applied to the observations showed that log (EFs) for particulate organic compounds were inversely proportional to MCE. These measurements and relationships provide useful estimates of EFs for OC, elemental carbon (EC), organic chemical families, and individual I/SVOCs as a function of fire conditions.


2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Jia Coco Liu* ◽  
Loretta Mickley ◽  
Melissa P. Sulprizio ◽  
Xu Yue ◽  
Francesca Dominici ◽  
...  

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Colleen E. Reid ◽  
Ellen M. Considine ◽  
Melissa M. Maestas ◽  
Gina Li

AbstractWe created daily concentration estimates for fine particulate matter (PM2.5) at the centroids of each county, ZIP code, and census tract across the western US, from 2008–2018. These estimates are predictions from ensemble machine learning models trained on 24-hour PM2.5 measurements from monitoring station data across 11 states in the western US. Predictor variables were derived from satellite, land cover, chemical transport model (just for the 2008–2016 model), and meteorological data. Ten-fold spatial and random CV R2 were 0.66 and 0.73, respectively, for the 2008–2016 model and 0.58 and 0.72, respectively for the 2008–2018 model. Comparing areal predictions to nearby monitored observations demonstrated overall R2 of 0.70 for the 2008–2016 model and 0.58 for the 2008–2018 model, but we observed higher R2 (>0.80) in many urban areas. These data can be used to understand spatiotemporal patterns of, exposures to, and health impacts of PM2.5 in the western US, where PM2.5 levels have been heavily impacted by wildfire smoke over this time period.


Author(s):  
Jennifer D Stowell ◽  
Cheng-En Yang ◽  
Joshua S Fu ◽  
Noah Scovronick ◽  
Matthew J. Strickland ◽  
...  

Abstract Climate change and human activities have drastically altered the natural wildfire balance in the Western US and increased population health risks due to exposure to pollutants from fire smoke. Using dynamically downscaled climate model projections, we estimated additional asthma emergency room visits and hospitalizations due to exposure to smoke fine particulate matter (PM2.5) in the Western US in the 2050s. Isolating the amount of PM2.5 from wildfire smoke is both difficult to estimate and, thus, utilized by relatively few studies. In this study, we use a sophisticated modeling approach to estimate future increase in wildfire smoke exposure over the reference period (2003-2010) and subsequent health care burden due to asthma exacerbation. Average increases in smoke PM2.5 during future fire season ranged from 0.05-9.5 µg/m3 with the highest increases seen in Idaho, Montana, and Oregon. Using the Integrated Climate and Land-Use Scenarios (ICLUS) A2 scenario, we estimated the smoke-related asthma events could increase at a rate of 15.1 visits per 10,000 persons in the Western US, with the highest rates of increased asthma (25.7-41.9 per 10,000) in Idaho, Montana, Oregon, and Washington. Finally, we estimated healthcare costs of smoke-induced asthma exacerbation to be over $1.5 billion during a single future fire season. Here we show the potential future health impact of climate-induced wildfire activity, which may serve as a key tool in future climate change mitigation and adaptation planning.


2021 ◽  
Author(s):  
Devabhaktuni Srikrishna

Background COVID-19 virus travels in the air and collects indoors through tiny particles from exhaled breath, and remains a growing concern globally especially since case studies of vaccine breakthrough infections are being reported. Last year's wildfires resulted in the worst air quality on record in the Western US due to toxic wildfire smoke (PM 2.5 pollution) traveling from distant wildfires and this year can potentially be even worse due to extremely dry conditions. Precautions such as high-filtration (Hi-Fi) masks and HEPA air purifiers are useful to effectively reduce inhalation of most of these toxic aerosols. Whereas the lack of fit or filtration in a mask or use of an air purifier of insufficient size (capacity) for the room can inadvertently render these precautions ineffective. Here we investigate the public's concerns about wildfires and the COVID-19 variants (e.g. delta), their use of aerosol precautions, and whether these are being done in an effective manner. Methods We conducted possibly the largest, national survey (2,250 US residents) to date in order to understand the public concerns about airborne threats and their usage of airborne (aerosol) precautions. Results We find over 66% of US residents surveyed are worried about inhaling COVID-19 and its variants, and 52% are worried about toxic wildfire particles in the air. In the mountain and pacific regions the latter rises to 73%. Only a quarter are using masks with higher filtration and high level of fit (or Hi-Fi masks e.g. N95 or similar such as elastomeric N95 or KF94). Two-thirds are still using loose-fitting cloth or surgical masks. Just over 40% of respondents report using air purifiers at home, and of this group only 40% use it in their bedroom where they sleep. Of those using air purifiers, the majority said they chose the size of their air purifier based on "most popular" models, "recommendations," or "reviews." However, of those using air purifiers only 42% reported doing a calculation (or using a calculator) to estimate the right size of air purifier needed for the room they are using it in. Notably, a much higher percentage of people (than average) reported use of Hi-Fi masks and home air purifiers in certain occupations such as doctors, healthcare, first responders, public safety, engineering, military, and construction. Conclusion National survey data suggests most Americans are worried about wildfire smoke and Covid variants (e.g. delta variant) but a majority are not prepared for it. This data reveals five specific things that can be immediately done by a majority of Americans with off-the-shelf products to prepare for these and other aerosolized risks (1) use HEPA air cleaners in rooms wherever significant time is spent such as bedrooms, living rooms, classrooms, offices, etc. (2) correctly estimate the size of the HEPA air cleaner for each room using a purpose-built calculator if needed (3) override the auto setting to maximum speed in shared spaces such as classrooms and offices since the fan-speed sensors in HEPA air cleaners typically detect wildfire smoke but not accumulation of virus from exhaled breath (4) use Hi-Fi masks instead of the more common cloth masks and loose-fitting surgical masks e.g. N95, elastomerics, KF94, surgical masks with fitters, etc. (5) "stock up" on HEPA air cleaners and Hi-Fi masks as needed in advance of the Western US wildfire season when there are expected to be shortages once the air quality rapidly deteriorates. Widespread access and adoption of these same aerosol precautions will be useful for future pandemics and national biodefense.


2015 ◽  
Vol 2015 (1) ◽  
pp. 558
Author(s):  
Jia Coco Liu ◽  
Ander Wilson ◽  
Loretta J. Mickley ◽  
Francesca Dominici ◽  
Keita Ebisu ◽  
...  

2020 ◽  
Vol 54 (19) ◽  
pp. 11838-11847
Author(s):  
Katelyn O’Dell ◽  
Rebecca S. Hornbrook ◽  
Wade Permar ◽  
Ezra J. T. Levin ◽  
Lauren A. Garofalo ◽  
...  

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