Daniel J. Kilpatrick, Peiyin Hung, Elizabeth Crouch, Stella Self, Jeremy Cothran, Dwayne E. Porter, Jan M. Eberth
{"title":"2010-2019 年美国城乡颗粒物 (PM2.5) 浓度的地域变化","authors":"Daniel J. Kilpatrick, Peiyin Hung, Elizabeth Crouch, Stella Self, Jeremy Cothran, Dwayne E. Porter, Jan M. Eberth","doi":"10.1029/2023GH000920","DOIUrl":null,"url":null,"abstract":"<p>Fine particulate matter 2.5 (PM<sub>2.5</sub>) is a widely studied pollutant with substantial health impacts, yet little is known about the urban-rural differences across the United States. Trends of PM<sub>2.5</sub> in urban and rural census tracts between 2010 and 2019 were assessed alongside sociodemographic characteristics including race/ethnicity, poverty, and age. For 2010, we identified 13,474 rural tracts and 59,065 urban tracts. In 2019, 13,462 were rural and 59,055 urban. Urban tracts had significantly higher PM<sub>2.5</sub> concentrations than rural tracts during this period. Levels of PM<sub>2.5</sub> were lower in rural tracts compared to urban and fell more rapidly in rural than urban. Rural tract annual means for 2010 and 2019 were 8.51 [2.24] μg/m<sup>3</sup> and 6.41 [1.29] μg/m<sup>3</sup>, respectively. Urban tract annual means for 2010 and 2019 were 9.56 [2.04] μg/m<sup>3</sup> and 7.51 [1.40] μg/m<sup>3</sup>, respectively. Rural and urban majority Black communities had significantly higher PM<sub>2.5</sub> pollution levels (10.19 [1.64] μg/m<sup>3</sup> and 9.79 [1.10] μg/m<sup>3</sup> respectively), in 2010. In 2019, they were: 7.75 [1.1] μg/m<sup>3</sup> and 7.09 [0.78] μg/m<sup>3</sup>, respectively. Majority Hispanic communities had higher PM<sub>2.5</sub> levels and were the highest urban concentration among all races/ethnicities (8.01 [1.73] μg/m<sup>3</sup>), however they were not the highest rural concentration among all races/ethnicities (6.22 [1.60] μg/m<sup>3</sup>) in 2019. Associations with higher levels of PM<sub>2.5</sub> were found with communities in the poorest quartile and with higher proportions of residents age<15 years old. These findings suggest greater protections for those disproportionately exposed to PM<sub>2.5</sub> are needed, such as, increasing the availability of low-cost air quality monitors.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 9","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023GH000920","citationCount":"0","resultStr":"{\"title\":\"Geographic Variations in Urban-Rural Particulate Matter (PM2.5) Concentrations in the United States, 2010–2019\",\"authors\":\"Daniel J. Kilpatrick, Peiyin Hung, Elizabeth Crouch, Stella Self, Jeremy Cothran, Dwayne E. Porter, Jan M. Eberth\",\"doi\":\"10.1029/2023GH000920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Fine particulate matter 2.5 (PM<sub>2.5</sub>) is a widely studied pollutant with substantial health impacts, yet little is known about the urban-rural differences across the United States. Trends of PM<sub>2.5</sub> in urban and rural census tracts between 2010 and 2019 were assessed alongside sociodemographic characteristics including race/ethnicity, poverty, and age. For 2010, we identified 13,474 rural tracts and 59,065 urban tracts. In 2019, 13,462 were rural and 59,055 urban. Urban tracts had significantly higher PM<sub>2.5</sub> concentrations than rural tracts during this period. Levels of PM<sub>2.5</sub> were lower in rural tracts compared to urban and fell more rapidly in rural than urban. Rural tract annual means for 2010 and 2019 were 8.51 [2.24] μg/m<sup>3</sup> and 6.41 [1.29] μg/m<sup>3</sup>, respectively. Urban tract annual means for 2010 and 2019 were 9.56 [2.04] μg/m<sup>3</sup> and 7.51 [1.40] μg/m<sup>3</sup>, respectively. Rural and urban majority Black communities had significantly higher PM<sub>2.5</sub> pollution levels (10.19 [1.64] μg/m<sup>3</sup> and 9.79 [1.10] μg/m<sup>3</sup> respectively), in 2010. In 2019, they were: 7.75 [1.1] μg/m<sup>3</sup> and 7.09 [0.78] μg/m<sup>3</sup>, respectively. Majority Hispanic communities had higher PM<sub>2.5</sub> levels and were the highest urban concentration among all races/ethnicities (8.01 [1.73] μg/m<sup>3</sup>), however they were not the highest rural concentration among all races/ethnicities (6.22 [1.60] μg/m<sup>3</sup>) in 2019. Associations with higher levels of PM<sub>2.5</sub> were found with communities in the poorest quartile and with higher proportions of residents age<15 years old. These findings suggest greater protections for those disproportionately exposed to PM<sub>2.5</sub> are needed, such as, increasing the availability of low-cost air quality monitors.</p>\",\"PeriodicalId\":48618,\"journal\":{\"name\":\"Geohealth\",\"volume\":\"8 9\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023GH000920\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geohealth\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2023GH000920\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geohealth","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2023GH000920","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Geographic Variations in Urban-Rural Particulate Matter (PM2.5) Concentrations in the United States, 2010–2019
Fine particulate matter 2.5 (PM2.5) is a widely studied pollutant with substantial health impacts, yet little is known about the urban-rural differences across the United States. Trends of PM2.5 in urban and rural census tracts between 2010 and 2019 were assessed alongside sociodemographic characteristics including race/ethnicity, poverty, and age. For 2010, we identified 13,474 rural tracts and 59,065 urban tracts. In 2019, 13,462 were rural and 59,055 urban. Urban tracts had significantly higher PM2.5 concentrations than rural tracts during this period. Levels of PM2.5 were lower in rural tracts compared to urban and fell more rapidly in rural than urban. Rural tract annual means for 2010 and 2019 were 8.51 [2.24] μg/m3 and 6.41 [1.29] μg/m3, respectively. Urban tract annual means for 2010 and 2019 were 9.56 [2.04] μg/m3 and 7.51 [1.40] μg/m3, respectively. Rural and urban majority Black communities had significantly higher PM2.5 pollution levels (10.19 [1.64] μg/m3 and 9.79 [1.10] μg/m3 respectively), in 2010. In 2019, they were: 7.75 [1.1] μg/m3 and 7.09 [0.78] μg/m3, respectively. Majority Hispanic communities had higher PM2.5 levels and were the highest urban concentration among all races/ethnicities (8.01 [1.73] μg/m3), however they were not the highest rural concentration among all races/ethnicities (6.22 [1.60] μg/m3) in 2019. Associations with higher levels of PM2.5 were found with communities in the poorest quartile and with higher proportions of residents age<15 years old. These findings suggest greater protections for those disproportionately exposed to PM2.5 are needed, such as, increasing the availability of low-cost air quality monitors.
期刊介绍:
GeoHealth will publish original research, reviews, policy discussions, and commentaries that cover the growing science on the interface among the Earth, atmospheric, oceans and environmental sciences, ecology, and the agricultural and health sciences. The journal will cover a wide variety of global and local issues including the impacts of climate change on human, agricultural, and ecosystem health, air and water pollution, environmental persistence of herbicides and pesticides, radiation and health, geomedicine, and the health effects of disasters. Many of these topics and others are of critical importance in the developing world and all require bringing together leading research across multiple disciplines.