{"title":"新罕布什尔州农村家庭按取暖燃料类型划分的室内颗粒物特征","authors":"Laura M. Paulin, Brian P. Jackson, John Woodward, Nora Traviss","doi":"10.1007/s11869-024-01635-x","DOIUrl":null,"url":null,"abstract":"<p>Over six million Americans rely on solid fuels for residential heating, which can result in high concentrations of fine and ultrafine particulate matter (PM). Little is known on the characteristics of indoor PM in rural homes, including lung deposited surface area (LDSA) concentration and metals composition, and whether these characteristics may vary by fuel type.Homes using oil, cordwood, or pellet were recruited into the study. Indoor air quality assessment over 48 h included PM<sub>2.5</sub> and PM<sub>10</sub> mass concentration (Purple Air monitors) and ultrafine (LDSA) PM < 1 μm, number concentration, and diameter (Partector). Teflon© or polytetrafluoroethylene (PTFE) filters were used to collect PM mass for metals characterization by inductively coupled plasma mass spectrometry (ICP-MS). Participants completed a time activity diary to link household behaviors to changes in LDSA, particle number, and size distribution.Ten homes completed the study- three used primary oil-fueled furnaces/boilers, four used primarily cordwood, and three used pellet fuel. Activity logs and real time measurements highlighted elevated indoor pollution events such as loading wood stoves and cooking. Maximum indoor air particle number concentrations measured were similar across fuel types, though total average particle concentrations, maximum mass, and LDSA concentrations were highly variable. For individual elements Ca, K, Cu, Cd, and Pb, there was a trend of higher concentrations in cordwood heated home, followed by pellet, and then oil heat.</p>","PeriodicalId":7458,"journal":{"name":"Air Quality, Atmosphere & Health","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of indoor particulate matter by home heating fuel type in rural New Hampshire homes\",\"authors\":\"Laura M. Paulin, Brian P. Jackson, John Woodward, Nora Traviss\",\"doi\":\"10.1007/s11869-024-01635-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Over six million Americans rely on solid fuels for residential heating, which can result in high concentrations of fine and ultrafine particulate matter (PM). Little is known on the characteristics of indoor PM in rural homes, including lung deposited surface area (LDSA) concentration and metals composition, and whether these characteristics may vary by fuel type.Homes using oil, cordwood, or pellet were recruited into the study. Indoor air quality assessment over 48 h included PM<sub>2.5</sub> and PM<sub>10</sub> mass concentration (Purple Air monitors) and ultrafine (LDSA) PM < 1 μm, number concentration, and diameter (Partector). Teflon© or polytetrafluoroethylene (PTFE) filters were used to collect PM mass for metals characterization by inductively coupled plasma mass spectrometry (ICP-MS). Participants completed a time activity diary to link household behaviors to changes in LDSA, particle number, and size distribution.Ten homes completed the study- three used primary oil-fueled furnaces/boilers, four used primarily cordwood, and three used pellet fuel. Activity logs and real time measurements highlighted elevated indoor pollution events such as loading wood stoves and cooking. Maximum indoor air particle number concentrations measured were similar across fuel types, though total average particle concentrations, maximum mass, and LDSA concentrations were highly variable. For individual elements Ca, K, Cu, Cd, and Pb, there was a trend of higher concentrations in cordwood heated home, followed by pellet, and then oil heat.</p>\",\"PeriodicalId\":7458,\"journal\":{\"name\":\"Air Quality, Atmosphere & Health\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality, Atmosphere & Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11869-024-01635-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality, Atmosphere & Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11869-024-01635-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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