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Maji KJ, Ford B, Li Z, Hu Y, Hu L, Langer CE, Hawkinson C, Paladugu S, Moraga-McHaley S, Woods B, Vansickle M, Uejio CK, Maichak C, Sablan O, Magzamen S, Pierce JR, Russell AG. Impact of the 2022 New Mexico, US wildfires on air quality and health. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174197. [PMID: 38914336 DOI: 10.1016/j.scitotenv.2024.174197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 06/18/2024] [Accepted: 06/20/2024] [Indexed: 06/26/2024]
Abstract
The 2022 wildfires in New Mexico, United States, were unparalleled compared to past wildfires in the state in both their scale and intensity, resulting in poor air quality and a catastrophic loss of habitat and livelihood. Among all wildfires in New Mexico in 2022, six wildfires were selected for our study based on the size of the burn area and their proximity to populated areas. These fires accounted for approximately 90 % of the total burn area in New Mexico in 2022. We used a regional chemical transport model and data-fusion technique to quantify the contribution of these six wildfires (April 6 to August 22) on particulate matter (PM2.5: diameter ≤ 2.5 μm) and ozone (O3) concentrations, as well as the associated health impacts from short-term exposure. We estimated that these six wildfires emitted 152 thousand tons of PM2.5 and 287 thousand tons of volatile organic compounds to the atmosphere. We estimated that the average daily wildfire smoke PM2.5 across New Mexico was 0.3 μg/m3, though 1 h maximum exceeded 120 μg/m3 near Santa Fe. Average wildfire smoke maximum daily average 8-h O3 (MDA8-O3) contribution was 0.2 ppb during the study period over New Mexico. However, over the state 1 h maximum smoke O3 exceeded 60 ppb in some locations near Santa Fe. Estimated all-cause excess mortality attributable to short term exposure to wildfire PM2.5 and MDA8-O3 from these six wildfires were 18 (95 % Confidence Interval (CI), 15-21) and 4 (95 % CI: 3-6) deaths. Additionally, we estimate that wildfire PM2.5 was responsible for 171 (95 %: 124-217) excess cases of asthma emergency department visits. Our findings underscore the impact of wildfires on air quality and human health risks, which are anticipated to intensify with global warming, even as local anthropogenic emissions decline.
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Affiliation(s)
- Kamal J Maji
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Bonne Ford
- Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
| | - Zongrun Li
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Yongtao Hu
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Leiqiu Hu
- Department of Atmospheric and Earth Science, University of Alabama in Huntsville, Huntsville, AL, USA
| | - Chelsea Eastman Langer
- New Mexico Environmental Public Health Tracking, Environmental Health Epidemiology Bureau, Epidemiology and Response Division, New Mexico Department of Health, Santa Fe, NM, USA
| | - Colin Hawkinson
- New Mexico Environmental Public Health Tracking, Environmental Health Epidemiology Bureau, Epidemiology and Response Division, New Mexico Department of Health, Santa Fe, NM, USA
| | - Srikanth Paladugu
- New Mexico Environmental Public Health Tracking, Environmental Health Epidemiology Bureau, Epidemiology and Response Division, New Mexico Department of Health, Santa Fe, NM, USA
| | - Stephanie Moraga-McHaley
- New Mexico Environmental Public Health Tracking, Environmental Health Epidemiology Bureau, Epidemiology and Response Division, New Mexico Department of Health, Santa Fe, NM, USA
| | - Brian Woods
- New Mexico Environmental Public Health Tracking, Environmental Health Epidemiology Bureau, Epidemiology and Response Division, New Mexico Department of Health, Santa Fe, NM, USA
| | - Melissa Vansickle
- Department of Geography, Florida State University, Tallahassee, FL, USA
| | | | - Courtney Maichak
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Olivia Sablan
- Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Jeffrey R Pierce
- Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
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Maji K, Li Z, Vaidyanathan A, Hu Y, Stowell JD, Milando C, Wellenius G, Kinney PL, Russell AG, Odman MT. Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015-2020. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12343-12355. [PMID: 38943591 PMCID: PMC11256750 DOI: 10.1021/acs.est.4c00890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/17/2024] [Accepted: 06/20/2024] [Indexed: 07/01/2024]
Abstract
Smoke from wildfires poses a substantial threat to health in communities near and far. To mitigate the extent and potential damage of wildfires, prescribed burning techniques are commonly employed as land management tools; however, they introduce their own smoke-related risks. This study investigates the impact of prescribed fires on daily average PM2.5 and maximum daily 8-h averaged O3 (MDA8-O3) concentrations and estimates premature deaths associated with short-term exposure to prescribed fire PM2.5 and MDA8-O3 in Georgia and surrounding areas of the Southeastern US from 2015 to 2020. Our findings indicate that over the study domain, prescribed fire contributes to average daily PM2.5 by 0.94 ± 1.45 μg/m3 (mean ± standard deviation), accounting for 14.0% of year-round ambient PM2.5. Higher average daily contributions were predicted during the extensive burning season (January-April): 1.43 ± 1.97 μg/m3 (20.0% of ambient PM2.5). Additionally, prescribed burning is also responsible for an annual average increase of 0.36 ± 0.61 ppb in MDA8-O3 (approximately 0.8% of ambient MDA8-O3) and 1.3% (0.62 ± 0.88 ppb) during the extensive burning season. We estimate that short-term exposure to prescribed fire PM2.5 and MDA8-O3 could have caused 2665 (95% confidence interval (CI): 2249-3080) and 233 (95% CI: 148-317) excess deaths, respectively. These results suggest that smoke from prescribed burns increases the mortality. However, refraining from such burns may escalate the risk of wildfires; therefore, the trade-offs between the health impacts of wildfires and prescribed fires, including morbidity, need to be taken into consideration in future studies.
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Affiliation(s)
- Kamal
J. Maji
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Zongrun Li
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Ambarish Vaidyanathan
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
- National
Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia 30329, United States
| | - Yongtao Hu
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Jennifer D. Stowell
- School
of Public Health, Boston University, Boston, Massachusetts 02118, United States
| | - Chad Milando
- School
of Public Health, Boston University, Boston, Massachusetts 02118, United States
| | - Gregory Wellenius
- School
of Public Health, Boston University, Boston, Massachusetts 02118, United States
| | - Patrick L. Kinney
- School
of Public Health, Boston University, Boston, Massachusetts 02118, United States
| | - Armistead G. Russell
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - M. Talat Odman
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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Afrin S, Garcia-Menendez F. Potential impacts of prescribed fire smoke on public health and socially vulnerable populations in a Southeastern U.S. state. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 794:148712. [PMID: 34323750 DOI: 10.1016/j.scitotenv.2021.148712] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/20/2021] [Accepted: 06/23/2021] [Indexed: 06/13/2023]
Abstract
Prescribed fire is an essential tool for wildfire risk mitigation and ecosystem restoration in the Southeastern United States. It is also one of the region's largest sources of atmospheric emissions. The public health impacts of prescribed fire smoke, however, remain uncertain. Here, we use digital burn permit records, reduced-complexity air quality modeling, and epidemiological associations between fine particulate matter concentrations and multiple health endpoints to assess the impacts of prescribed burning on public health across Georgia. Additionally, we examine the social vulnerability of populations near high prescribed burning activity using a demographic- and socioeconomic-based index. The analysis identifies spatial clusters of burning activity in the state and finds that areas with intense prescribed fire have levels of social vulnerability that are over 25% higher than the state average. The results also suggest that the impacts of burning in Georgia can potentially include hundreds of annual morbidity and mortality cases associated with smoke pollution. These health impacts are concentrated in areas with higher fractions of low socioeconomic status, elderly, and disabled residents, particularly vulnerable to air pollution. Estimated smoke-related health incidence rates are over 3 times larger than the state average in spatial clusters of intense burning activity, and over 40% larger in spatial clusters of high social vulnerability. Spatial clusters of low social vulnerability experience substantially lower negative health effects from prescribed burning relative to the rest of the state. The health burden of smoke from prescribed burns in the state is comparable to that estimated for other major emission sectors, such as vehicles and industrial combustion. Within spatial clusters of socially-vulnerable populations, the impacts of prescribed fire considerably outweigh those of other emission sectors. These findings call for greater attention to the air quality impacts of prescribed burning in the Southeastern U.S. and the communities most exposed to fire-related smoke.
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Affiliation(s)
- Sadia Afrin
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, United States
| | - Fernando Garcia-Menendez
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, United States.
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Fanti G, Borghi F, Spinazzè A, Rovelli S, Campagnolo D, Keller M, Cattaneo A, Cauda E, Cavallo DM. Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2021; 21:4513. [PMID: 34209443 PMCID: PMC8271362 DOI: 10.3390/s21134513] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/25/2021] [Accepted: 06/28/2021] [Indexed: 11/22/2022]
Abstract
In the last years, the issue of exposure assessment of airborne pollutants has been on the rise, both in the environmental and occupational fields. Increasingly severe national and international air quality standards, indoor air guidance values, and exposure limit values have been developed to protect the health of the general population and workers; this issue required a significant and continuous improvement in monitoring technologies to allow the execution of proper exposure assessment studies. One of the most interesting aspects in this field is the development of the "next-generation" of airborne pollutants monitors and sensors (NGMS). The principal aim of this review is to analyze and characterize the state of the art and of NGMS and their practical applications in exposure assessment studies. A systematic review of the literature was performed analyzing outcomes from three different databases (Scopus, PubMed, Isi Web of Knowledge); a total of 67 scientific papers were analyzed. The reviewing process was conducting systematically with the aim to extrapolate information about the specifications, technologies, and applicability of NGMSs in both environmental and occupational exposure assessment. The principal results of this review show that the use of NGMSs is becoming increasingly common in the scientific community for both environmental and occupational exposure assessment. The available studies outlined that NGMSs cannot be used as reference instrumentation in air monitoring for regulatory purposes, but at the same time, they can be easily adapted to more specific applications, improving exposure assessment studies in terms of spatiotemporal resolution, wearability, and adaptability to different types of projects and applications. Nevertheless, improvements needed to further enhance NGMSs performances and allow their wider use in the field of exposure assessment are also discussed.
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Affiliation(s)
- Giacomo Fanti
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Francesca Borghi
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Andrea Spinazzè
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Sabrina Rovelli
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Davide Campagnolo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Marta Keller
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Andrea Cattaneo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Emanuele Cauda
- Center for Direct Reading and Sensor Technologies, National Institute for Occupational Safety and Health, Pittsburgh, PA 15236, USA;
- Centers for Disease Control and Prevention, Pittsburgh, PA 15236, USA
| | - Domenico Maria Cavallo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
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