Hopanoid hydrocarbons in PM10 from road tunnels in São Paulo, Brazil
The fleet of flexible fuel vehicles in Brazil is the largest in the world. To diagnose the contribution of vehicle emissions to atmospheric particulate matter, organic molecular markers, such as hopanes, can be used. However, nothing is known about the particulate matter mass fractions of these trac...
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| Veröffentlicht in: | Air quality, atmosphere and health atmosphere and health, 2017-09, Vol.10 (7), p.799-807 |
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| creator | Alves, Célia A. Vicente, Ana M. Rocha, Sónia Vasconcellos, Pérola |
| description | The fleet of flexible fuel vehicles in Brazil is the largest in the world. To diagnose the contribution of vehicle emissions to atmospheric particulate matter, organic molecular markers, such as hopanes, can be used. However, nothing is known about the particulate matter mass fractions of these tracers in environments exclusively impacted by road emissions. In this study, the hopanoid composition of PM
10
inside two tunnels in the São Paulo metropolitan area with very distinct circulating fleets (Jânio Quadros (JQ) and Rodoanel (RA)) was obtained. Higher mean concentrations (82.4 ng m
−3
) and PM
10
mass fractions (239 ng mg
−1
) were obtained in RA, in which the fleet is composed of both light and heavy duty vehicles. The most abundant species were 17α(H),21β(H)-30-norhopane (27.9 ng mg
−1
in JQ, 47.9 ng mg
−1
in RA) and 17α(H),21β(H)-hopane (32.6 ng mg
−1
in JQ, 44.3 ng mg
−1
in RA). Diverse concentration ratios were calculated and compared with those of other sources. Overlapping values may preclude the use of these parameters as source assignment tools. Some compounds, such as 18α(H)-22,29,30-trisnorneohopane, 17α(H)-22,29,30-trisnorhopane, 17α(H),21β(H)-30-norhopane, 18α(H)-30-norneohopane, 17α(H),21β(H)-hopane, 17α(H),21β(H)-22S-homohopane and 17α(H),21β(H)-22R-homohopane, were found to be very good predictors of the total concentrations of hopanoids. |
| doi_str_mv | 10.1007/s11869-017-0462-3 |
| format | Article |
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10
inside two tunnels in the São Paulo metropolitan area with very distinct circulating fleets (Jânio Quadros (JQ) and Rodoanel (RA)) was obtained. Higher mean concentrations (82.4 ng m
−3
) and PM
10
mass fractions (239 ng mg
−1
) were obtained in RA, in which the fleet is composed of both light and heavy duty vehicles. The most abundant species were 17α(H),21β(H)-30-norhopane (27.9 ng mg
−1
in JQ, 47.9 ng mg
−1
in RA) and 17α(H),21β(H)-hopane (32.6 ng mg
−1
in JQ, 44.3 ng mg
−1
in RA). Diverse concentration ratios were calculated and compared with those of other sources. Overlapping values may preclude the use of these parameters as source assignment tools. Some compounds, such as 18α(H)-22,29,30-trisnorneohopane, 17α(H)-22,29,30-trisnorhopane, 17α(H),21β(H)-30-norhopane, 18α(H)-30-norneohopane, 17α(H),21β(H)-hopane, 17α(H),21β(H)-22S-homohopane and 17α(H),21β(H)-22R-homohopane, were found to be very good predictors of the total concentrations of hopanoids.</description><identifier>ISSN: 1873-9318</identifier><identifier>EISSN: 1873-9326</identifier><identifier>DOI: 10.1007/s11869-017-0462-3</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Atmospheric particulate matter ; Atmospheric Protection/Air Quality Control/Air Pollution ; Earth and Environmental Science ; Environment ; Environmental Health ; Environmental impact ; Health Promotion and Disease Prevention ; Hopanes ; Hydrocarbons ; Metropolitan areas ; Organic chemistry ; Particulate emissions ; Particulate matter ; Tracers ; Tunnels ; Vehicle emissions ; Vehicles</subject><ispartof>Air quality, atmosphere and health, 2017-09, Vol.10 (7), p.799-807</ispartof><rights>Springer Science+Business Media Dordrecht 2017</rights><rights>Air Quality, Atmosphere & Health is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2703-d6762cdb8cdd060c4d7402476f6fc33b2985fe2b6cc3397a1b5c109887cbf4353</citedby><cites>FETCH-LOGICAL-c2703-d6762cdb8cdd060c4d7402476f6fc33b2985fe2b6cc3397a1b5c109887cbf4353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11869-017-0462-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11869-017-0462-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Alves, Célia A.</creatorcontrib><creatorcontrib>Vicente, Ana M.</creatorcontrib><creatorcontrib>Rocha, Sónia</creatorcontrib><creatorcontrib>Vasconcellos, Pérola</creatorcontrib><title>Hopanoid hydrocarbons in PM10 from road tunnels in São Paulo, Brazil</title><title>Air quality, atmosphere and health</title><addtitle>Air Qual Atmos Health</addtitle><description>The fleet of flexible fuel vehicles in Brazil is the largest in the world. To diagnose the contribution of vehicle emissions to atmospheric particulate matter, organic molecular markers, such as hopanes, can be used. However, nothing is known about the particulate matter mass fractions of these tracers in environments exclusively impacted by road emissions. In this study, the hopanoid composition of PM
10
inside two tunnels in the São Paulo metropolitan area with very distinct circulating fleets (Jânio Quadros (JQ) and Rodoanel (RA)) was obtained. Higher mean concentrations (82.4 ng m
−3
) and PM
10
mass fractions (239 ng mg
−1
) were obtained in RA, in which the fleet is composed of both light and heavy duty vehicles. The most abundant species were 17α(H),21β(H)-30-norhopane (27.9 ng mg
−1
in JQ, 47.9 ng mg
−1
in RA) and 17α(H),21β(H)-hopane (32.6 ng mg
−1
in JQ, 44.3 ng mg
−1
in RA). Diverse concentration ratios were calculated and compared with those of other sources. Overlapping values may preclude the use of these parameters as source assignment tools. Some compounds, such as 18α(H)-22,29,30-trisnorneohopane, 17α(H)-22,29,30-trisnorhopane, 17α(H),21β(H)-30-norhopane, 18α(H)-30-norneohopane, 17α(H),21β(H)-hopane, 17α(H),21β(H)-22S-homohopane and 17α(H),21β(H)-22R-homohopane, were found to be very good predictors of the total concentrations of hopanoids.</description><subject>Atmospheric particulate matter</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Environmental impact</subject><subject>Health Promotion and Disease Prevention</subject><subject>Hopanes</subject><subject>Hydrocarbons</subject><subject>Metropolitan areas</subject><subject>Organic chemistry</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Tracers</subject><subject>Tunnels</subject><subject>Vehicle emissions</subject><subject>Vehicles</subject><issn>1873-9318</issn><issn>1873-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kE1OwzAQhS0EEqVwAHaW2BIY24l_llAVilREJWBtOXYCqdK42M2iXIejcDFcghAbVjOjee_N6EPolMAFARCXkRDJVQZEZJBzmrE9NCJSsEwxyvd_eyIP0VGMSwAOOfARms782nS-cfh164K3JpS-i7jp8OKeAK6DX-HgjcObvuuq9nvz-Pnh8cL0rT_H18G8N-0xOqhNG6uTnzpGzzfTp8ksmz_c3k2u5pmlAljmuODUulJa59IDNnciB5oLXvPaMlZSJYu6oiW3aVLCkLKwBJSUwpZ1zgo2RmdD7jr4t76KG730fejSSU1UXoAsKFFJRQaVDT7GUNV6HZqVCVtNQO9o6YGWTrT0jpZmyUMHT0za7qUKf5L_NX0Bc09rdQ</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Alves, Célia A.</creator><creator>Vicente, Ana M.</creator><creator>Rocha, Sónia</creator><creator>Vasconcellos, Pérola</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7TG</scope><scope>7TV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20170901</creationdate><title>Hopanoid hydrocarbons in PM10 from road tunnels in São Paulo, Brazil</title><author>Alves, Célia A. ; Vicente, Ana M. ; Rocha, Sónia ; Vasconcellos, Pérola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2703-d6762cdb8cdd060c4d7402476f6fc33b2985fe2b6cc3397a1b5c109887cbf4353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Atmospheric particulate matter</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Environmental impact</topic><topic>Health Promotion and Disease Prevention</topic><topic>Hopanes</topic><topic>Hydrocarbons</topic><topic>Metropolitan areas</topic><topic>Organic chemistry</topic><topic>Particulate emissions</topic><topic>Particulate matter</topic><topic>Tracers</topic><topic>Tunnels</topic><topic>Vehicle emissions</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alves, Célia A.</creatorcontrib><creatorcontrib>Vicente, Ana M.</creatorcontrib><creatorcontrib>Rocha, Sónia</creatorcontrib><creatorcontrib>Vasconcellos, Pérola</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Air quality, atmosphere and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alves, Célia A.</au><au>Vicente, Ana M.</au><au>Rocha, Sónia</au><au>Vasconcellos, Pérola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hopanoid hydrocarbons in PM10 from road tunnels in São Paulo, Brazil</atitle><jtitle>Air quality, atmosphere and health</jtitle><stitle>Air Qual Atmos Health</stitle><date>2017-09-01</date><risdate>2017</risdate><volume>10</volume><issue>7</issue><spage>799</spage><epage>807</epage><pages>799-807</pages><issn>1873-9318</issn><eissn>1873-9326</eissn><abstract>The fleet of flexible fuel vehicles in Brazil is the largest in the world. To diagnose the contribution of vehicle emissions to atmospheric particulate matter, organic molecular markers, such as hopanes, can be used. However, nothing is known about the particulate matter mass fractions of these tracers in environments exclusively impacted by road emissions. In this study, the hopanoid composition of PM
10
inside two tunnels in the São Paulo metropolitan area with very distinct circulating fleets (Jânio Quadros (JQ) and Rodoanel (RA)) was obtained. Higher mean concentrations (82.4 ng m
−3
) and PM
10
mass fractions (239 ng mg
−1
) were obtained in RA, in which the fleet is composed of both light and heavy duty vehicles. The most abundant species were 17α(H),21β(H)-30-norhopane (27.9 ng mg
−1
in JQ, 47.9 ng mg
−1
in RA) and 17α(H),21β(H)-hopane (32.6 ng mg
−1
in JQ, 44.3 ng mg
−1
in RA). Diverse concentration ratios were calculated and compared with those of other sources. Overlapping values may preclude the use of these parameters as source assignment tools. Some compounds, such as 18α(H)-22,29,30-trisnorneohopane, 17α(H)-22,29,30-trisnorhopane, 17α(H),21β(H)-30-norhopane, 18α(H)-30-norneohopane, 17α(H),21β(H)-hopane, 17α(H),21β(H)-22S-homohopane and 17α(H),21β(H)-22R-homohopane, were found to be very good predictors of the total concentrations of hopanoids.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11869-017-0462-3</doi><tpages>9</tpages></addata></record> |
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| language | eng |
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| subjects | Atmospheric particulate matter Atmospheric Protection/Air Quality Control/Air Pollution Earth and Environmental Science Environment Environmental Health Environmental impact Health Promotion and Disease Prevention Hopanes Hydrocarbons Metropolitan areas Organic chemistry Particulate emissions Particulate matter Tracers Tunnels Vehicle emissions Vehicles |
| title | Hopanoid hydrocarbons in PM10 from road tunnels in São Paulo, Brazil |
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