Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change
Alaskan wildfires are becoming more frequent and severe, but very little is known regarding exposure to wildfire smoke, a risk factor for respiratory and cardiovascular illnesses. We estimated long-term, present-day and future exposure to wildfire-related fine particulate matter (PM _2.5 ) across Al...
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ftdoajarticles:oai:doaj.org/article:157b1d6cd0de4ab08cceaf707f34d42a 2023-09-05T13:17:56+02:00 Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change Seung Hyun Lucia Woo Jia Coco Liu Xu Yue Loretta J Mickley Michelle L Bell 2020-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/ab9270 https://doaj.org/article/157b1d6cd0de4ab08cceaf707f34d42a EN eng IOP Publishing https://doi.org/10.1088/1748-9326/ab9270 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/ab9270 1748-9326 https://doaj.org/article/157b1d6cd0de4ab08cceaf707f34d42a Environmental Research Letters, Vol 15, Iss 9, p 094019 (2020) air pollution Alaska environmental justice particulate matter PM2.5 smoke Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2020 ftdoajarticles https://doi.org/10.1088/1748-9326/ab9270 2023-08-13T00:37:02Z Alaskan wildfires are becoming more frequent and severe, but very little is known regarding exposure to wildfire smoke, a risk factor for respiratory and cardiovascular illnesses. We estimated long-term, present-day and future exposure to wildfire-related fine particulate matter (PM _2.5 ) across Alaska for the general population and subpopulations to assess vulnerability using observed data for the present day (1997–2010), modelled estimates for the present day (1997–2001), and modelled estimates for the future (2047–2051). First, we assessed wildfire-PM _2.5 exposure by estimating monthly-average wildfire-specific PM _2.5 levels across 1997–2010 for 158 Alaskan census tracts, using atmospheric transport modelling based on observed area-burned data. Second, we estimated changes in future (2047–2051) wildfire-PM _2.5 exposure compared to the present-day (1997–2001) by estimating the monthly-average wildfire-specific PM _2.5 levels for 29 boroughs/census areas (county-equivalent areas), under the Intergovernmental Panel on Climate Change (IPCC) A1B scenario from an ensemble of 13 climate models. Subpopulation risks for present and future exposure levels were estimated by summing area-weighted exposure levels utilizing the 2000 Census and State of Alaska’s population projections. We assessed vulnerability by several subpopulation characteristics (e.g. race/ethnicity, urbanicity). Wildfire-PM _2.5 exposure levels during 1997–2010 were highest in interior Alaska during July. Among subpopulations, average summer (June-August) exposure levels for urban dwellers and African-American/Blacks were highest at 9.1 µg m ^−3 and 10 µg m ^−3 , respectively. Estimated wildfire-PM _2.5 varied by Native American tribe, ranging from average summer levels of 2.4 µg m ^−3 to 13 µg m ^−3 for Tlingit-Haida and Alaskan Athabascan tribes, respectively. Estimates indicate that by the mid-21st century, under climate change, almost all of Alaska could be exposed to increases of 100% or more in levels of wildfire-specific PM _2.5 levels. ... Article in Journal/Newspaper Athabascan tlingit Alaska Directory of Open Access Journals: DOAJ Articles Environmental Research Letters 15 9 094019 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
air pollution Alaska environmental justice particulate matter PM2.5 smoke Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
air pollution Alaska environmental justice particulate matter PM2.5 smoke Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 Seung Hyun Lucia Woo Jia Coco Liu Xu Yue Loretta J Mickley Michelle L Bell Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change |
topic_facet |
air pollution Alaska environmental justice particulate matter PM2.5 smoke Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
Alaskan wildfires are becoming more frequent and severe, but very little is known regarding exposure to wildfire smoke, a risk factor for respiratory and cardiovascular illnesses. We estimated long-term, present-day and future exposure to wildfire-related fine particulate matter (PM _2.5 ) across Alaska for the general population and subpopulations to assess vulnerability using observed data for the present day (1997–2010), modelled estimates for the present day (1997–2001), and modelled estimates for the future (2047–2051). First, we assessed wildfire-PM _2.5 exposure by estimating monthly-average wildfire-specific PM _2.5 levels across 1997–2010 for 158 Alaskan census tracts, using atmospheric transport modelling based on observed area-burned data. Second, we estimated changes in future (2047–2051) wildfire-PM _2.5 exposure compared to the present-day (1997–2001) by estimating the monthly-average wildfire-specific PM _2.5 levels for 29 boroughs/census areas (county-equivalent areas), under the Intergovernmental Panel on Climate Change (IPCC) A1B scenario from an ensemble of 13 climate models. Subpopulation risks for present and future exposure levels were estimated by summing area-weighted exposure levels utilizing the 2000 Census and State of Alaska’s population projections. We assessed vulnerability by several subpopulation characteristics (e.g. race/ethnicity, urbanicity). Wildfire-PM _2.5 exposure levels during 1997–2010 were highest in interior Alaska during July. Among subpopulations, average summer (June-August) exposure levels for urban dwellers and African-American/Blacks were highest at 9.1 µg m ^−3 and 10 µg m ^−3 , respectively. Estimated wildfire-PM _2.5 varied by Native American tribe, ranging from average summer levels of 2.4 µg m ^−3 to 13 µg m ^−3 for Tlingit-Haida and Alaskan Athabascan tribes, respectively. Estimates indicate that by the mid-21st century, under climate change, almost all of Alaska could be exposed to increases of 100% or more in levels of wildfire-specific PM _2.5 levels. ... |
format |
Article in Journal/Newspaper |
author |
Seung Hyun Lucia Woo Jia Coco Liu Xu Yue Loretta J Mickley Michelle L Bell |
author_facet |
Seung Hyun Lucia Woo Jia Coco Liu Xu Yue Loretta J Mickley Michelle L Bell |
author_sort |
Seung Hyun Lucia Woo |
title |
Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change |
title_short |
Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change |
title_full |
Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change |
title_fullStr |
Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change |
title_full_unstemmed |
Air pollution from wildfires and human health vulnerability in Alaskan communities under climate change |
title_sort |
air pollution from wildfires and human health vulnerability in alaskan communities under climate change |
publisher |
IOP Publishing |
publishDate |
2020 |
url |
https://doi.org/10.1088/1748-9326/ab9270 https://doaj.org/article/157b1d6cd0de4ab08cceaf707f34d42a |
genre |
Athabascan tlingit Alaska |
genre_facet |
Athabascan tlingit Alaska |
op_source |
Environmental Research Letters, Vol 15, Iss 9, p 094019 (2020) |
op_relation |
https://doi.org/10.1088/1748-9326/ab9270 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/ab9270 1748-9326 https://doaj.org/article/157b1d6cd0de4ab08cceaf707f34d42a |
op_doi |
https://doi.org/10.1088/1748-9326/ab9270 |
container_title |
Environmental Research Letters |
container_volume |
15 |
container_issue |
9 |
container_start_page |
094019 |
_version_ |
1776199018415652864 |