Spatial Distribution Characteristics of Fugitive Road Dust Emissions from a Transportation Hub City (Jinan) in China and Their Impact on the Atmosphere in 2020
Road silt loading (sL) directly affects the fugitive road dust (FRD) emission factor, which is an important parameter in the study of FRD emissions. In this study, an improved collection method combined with the AP−42 method was newly developed to estimate the sL of asphalt roads in Jinan, China. Th...
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| Veröffentlicht in: | Sustainability 2024-06, Vol.16 (11), p.4771 |
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| description | Road silt loading (sL) directly affects the fugitive road dust (FRD) emission factor, which is an important parameter in the study of FRD emissions. In this study, an improved collection method combined with the AP−42 method was newly developed to estimate the sL of asphalt roads in Jinan, China. The characteristics of sL in Jinan followed the order National highway (NH) > Branch road (BR) > Provincial highway (PH) > Country highway (CH) > Minor arterial (MiA) > Major arterial (MaA) > Urban expressway (UE) with 3.9 ± 2.5, 3.9 ± 1.9, 3.8 ± 2.8, 3.8 ± 0.9, 2.1 ± 1.4, 1.7 ± 1.2, and 1.4 ± 1.2 g/m2, respectively. The size orders of PM2.5 and PM10 emission factors are consistent with total suspended particulate (TSP). The characteristics of the TSP emission factor of FRD followed the order NH > PH > CH > Expressway (EW) > MiA > BR > MaA > UE with 27.3, 23.4, 19.4, 13.7, 7.7, 7.4, 6.2, and 3.0 g/VKT (vehicle kilometers traveled), respectively. The annual emissions of TSP, PM10, and PM2.5 from FRD in Jinan in 2020 were about 985.2, 209.8, and 57.8 kt, respectively. Laiwu, Jiyang, and Licheng districts show the top three TSP emissions of FRD; the sum of their emissions accounts for 44.7% of the TSP emissions from FRD in Jinan. TSP emissions from municipal roads and administrative roads accounted for about 29.2% and 70.8% of the total emissions in Jinan, respectively, of which emissions from MiA accounted for the largest proportion of TSP emissions from municipal roads, contributing about 37.9%, while TSP emissions from NH made the largest contribution to TSP emissions from administrative roads, with a contribution of about 35.8%. Based on Monte Carlo simulation results using Crystal Ball, the uncertainty range of the emission inventory of FRD in Jinan ranged from −79.9 to 151.8%. In 2020, about 985,200 tons of road particulate matter in Jinan City entered the atmosphere, having an adverse effect on air quality and human health. |
| doi_str_mv | 10.3390/su16114771 |
| format | Article |
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In this study, an improved collection method combined with the AP−42 method was newly developed to estimate the sL of asphalt roads in Jinan, China. The characteristics of sL in Jinan followed the order National highway (NH) > Branch road (BR) > Provincial highway (PH) > Country highway (CH) > Minor arterial (MiA) > Major arterial (MaA) > Urban expressway (UE) with 3.9 ± 2.5, 3.9 ± 1.9, 3.8 ± 2.8, 3.8 ± 0.9, 2.1 ± 1.4, 1.7 ± 1.2, and 1.4 ± 1.2 g/m2, respectively. The size orders of PM2.5 and PM10 emission factors are consistent with total suspended particulate (TSP). The characteristics of the TSP emission factor of FRD followed the order NH > PH > CH > Expressway (EW) > MiA > BR > MaA > UE with 27.3, 23.4, 19.4, 13.7, 7.7, 7.4, 6.2, and 3.0 g/VKT (vehicle kilometers traveled), respectively. The annual emissions of TSP, PM10, and PM2.5 from FRD in Jinan in 2020 were about 985.2, 209.8, and 57.8 kt, respectively. Laiwu, Jiyang, and Licheng districts show the top three TSP emissions of FRD; the sum of their emissions accounts for 44.7% of the TSP emissions from FRD in Jinan. TSP emissions from municipal roads and administrative roads accounted for about 29.2% and 70.8% of the total emissions in Jinan, respectively, of which emissions from MiA accounted for the largest proportion of TSP emissions from municipal roads, contributing about 37.9%, while TSP emissions from NH made the largest contribution to TSP emissions from administrative roads, with a contribution of about 35.8%. Based on Monte Carlo simulation results using Crystal Ball, the uncertainty range of the emission inventory of FRD in Jinan ranged from −79.9 to 151.8%. In 2020, about 985,200 tons of road particulate matter in Jinan City entered the atmosphere, having an adverse effect on air quality and human health.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su16114771</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Air pollution ; Air quality ; Dust ; Emissions ; Monte Carlo method ; Outdoor air quality ; Particle size ; Pollutants ; Pollution control ; Roads & highways ; Statistical analysis ; Traffic ; Transportation ; Transportation industry ; Vehicles</subject><ispartof>Sustainability, 2024-06, Vol.16 (11), p.4771</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c327t-e9386d6548080cfbaf7d072829e91c6f5f6b7d6849317f14c9a17fde0da0f5033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Li, Xiangyang</creatorcontrib><creatorcontrib>Wang, Nana</creatorcontrib><creatorcontrib>Qu, Xinyue</creatorcontrib><creatorcontrib>Jiang, Baodong</creatorcontrib><title>Spatial Distribution Characteristics of Fugitive Road Dust Emissions from a Transportation Hub City (Jinan) in China and Their Impact on the Atmosphere in 2020</title><title>Sustainability</title><description>Road silt loading (sL) directly affects the fugitive road dust (FRD) emission factor, which is an important parameter in the study of FRD emissions. In this study, an improved collection method combined with the AP−42 method was newly developed to estimate the sL of asphalt roads in Jinan, China. The characteristics of sL in Jinan followed the order National highway (NH) > Branch road (BR) > Provincial highway (PH) > Country highway (CH) > Minor arterial (MiA) > Major arterial (MaA) > Urban expressway (UE) with 3.9 ± 2.5, 3.9 ± 1.9, 3.8 ± 2.8, 3.8 ± 0.9, 2.1 ± 1.4, 1.7 ± 1.2, and 1.4 ± 1.2 g/m2, respectively. The size orders of PM2.5 and PM10 emission factors are consistent with total suspended particulate (TSP). The characteristics of the TSP emission factor of FRD followed the order NH > PH > CH > Expressway (EW) > MiA > BR > MaA > UE with 27.3, 23.4, 19.4, 13.7, 7.7, 7.4, 6.2, and 3.0 g/VKT (vehicle kilometers traveled), respectively. The annual emissions of TSP, PM10, and PM2.5 from FRD in Jinan in 2020 were about 985.2, 209.8, and 57.8 kt, respectively. Laiwu, Jiyang, and Licheng districts show the top three TSP emissions of FRD; the sum of their emissions accounts for 44.7% of the TSP emissions from FRD in Jinan. TSP emissions from municipal roads and administrative roads accounted for about 29.2% and 70.8% of the total emissions in Jinan, respectively, of which emissions from MiA accounted for the largest proportion of TSP emissions from municipal roads, contributing about 37.9%, while TSP emissions from NH made the largest contribution to TSP emissions from administrative roads, with a contribution of about 35.8%. Based on Monte Carlo simulation results using Crystal Ball, the uncertainty range of the emission inventory of FRD in Jinan ranged from −79.9 to 151.8%. In 2020, about 985,200 tons of road particulate matter in Jinan City entered the atmosphere, having an adverse effect on air quality and human health.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Dust</subject><subject>Emissions</subject><subject>Monte Carlo method</subject><subject>Outdoor air quality</subject><subject>Particle size</subject><subject>Pollutants</subject><subject>Pollution control</subject><subject>Roads & highways</subject><subject>Statistical analysis</subject><subject>Traffic</subject><subject>Transportation</subject><subject>Transportation industry</subject><subject>Vehicles</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVkc9qGzEQxpfQQkyaS55gIJe64FRaeaXV0Tj_XAyBxD0v413JlvGuthptaJ6mrxq5DiSZOcww_OYb-CbLLji7EkKznzRwyflUKX6SjXKm-ISzgn350J9m50Q7lkIIrrkcZf-eeowO93DtKAa3HqLzHcy3GLCOJqShqwm8hdth46J7NvDosYHrgSLctI4o4QQ2-BYQVgE76n2I-F_lfljD3MUX-P7LddiNwR2UUwvYNbDaGhdg0fbpECQ6bg3MYuup35pgDmzOcvYt-2pxT-b8rZ5lv29vVvP7yfLhbjGfLSe1yFWcGC1K2chiWrKS1XaNVjVM5WWujea1tIWVa9XIcqoFV5ZPa42pNoY1yGyR3DjLLo-6ffB_BkOx2vkhdOlkJZhUBU8eykRdHakN7k3lOutj8illY1pX-85Yl-YzpZVmvOA6LYw_LSQmmr9xgwNRtXh6_Mz-OLJ18ETB2KoPrsXwUnFWHR5cvT9YvAK1b5cG</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Li, Xiangyang</creator><creator>Wang, Nana</creator><creator>Qu, Xinyue</creator><creator>Jiang, Baodong</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20240601</creationdate><title>Spatial Distribution Characteristics of Fugitive Road Dust Emissions from a Transportation Hub City (Jinan) in China and Their Impact on the Atmosphere in 2020</title><author>Li, Xiangyang ; Wang, Nana ; Qu, Xinyue ; Jiang, Baodong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-e9386d6548080cfbaf7d072829e91c6f5f6b7d6849317f14c9a17fde0da0f5033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Air pollution</topic><topic>Air quality</topic><topic>Dust</topic><topic>Emissions</topic><topic>Monte Carlo method</topic><topic>Outdoor air quality</topic><topic>Particle size</topic><topic>Pollutants</topic><topic>Pollution control</topic><topic>Roads & highways</topic><topic>Statistical analysis</topic><topic>Traffic</topic><topic>Transportation</topic><topic>Transportation industry</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiangyang</creatorcontrib><creatorcontrib>Wang, Nana</creatorcontrib><creatorcontrib>Qu, Xinyue</creatorcontrib><creatorcontrib>Jiang, Baodong</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiangyang</au><au>Wang, Nana</au><au>Qu, Xinyue</au><au>Jiang, Baodong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial Distribution Characteristics of Fugitive Road Dust Emissions from a Transportation Hub City (Jinan) in China and Their Impact on the Atmosphere in 2020</atitle><jtitle>Sustainability</jtitle><date>2024-06-01</date><risdate>2024</risdate><volume>16</volume><issue>11</issue><spage>4771</spage><pages>4771-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Road silt loading (sL) directly affects the fugitive road dust (FRD) emission factor, which is an important parameter in the study of FRD emissions. In this study, an improved collection method combined with the AP−42 method was newly developed to estimate the sL of asphalt roads in Jinan, China. The characteristics of sL in Jinan followed the order National highway (NH) > Branch road (BR) > Provincial highway (PH) > Country highway (CH) > Minor arterial (MiA) > Major arterial (MaA) > Urban expressway (UE) with 3.9 ± 2.5, 3.9 ± 1.9, 3.8 ± 2.8, 3.8 ± 0.9, 2.1 ± 1.4, 1.7 ± 1.2, and 1.4 ± 1.2 g/m2, respectively. The size orders of PM2.5 and PM10 emission factors are consistent with total suspended particulate (TSP). The characteristics of the TSP emission factor of FRD followed the order NH > PH > CH > Expressway (EW) > MiA > BR > MaA > UE with 27.3, 23.4, 19.4, 13.7, 7.7, 7.4, 6.2, and 3.0 g/VKT (vehicle kilometers traveled), respectively. The annual emissions of TSP, PM10, and PM2.5 from FRD in Jinan in 2020 were about 985.2, 209.8, and 57.8 kt, respectively. Laiwu, Jiyang, and Licheng districts show the top three TSP emissions of FRD; the sum of their emissions accounts for 44.7% of the TSP emissions from FRD in Jinan. TSP emissions from municipal roads and administrative roads accounted for about 29.2% and 70.8% of the total emissions in Jinan, respectively, of which emissions from MiA accounted for the largest proportion of TSP emissions from municipal roads, contributing about 37.9%, while TSP emissions from NH made the largest contribution to TSP emissions from administrative roads, with a contribution of about 35.8%. Based on Monte Carlo simulation results using Crystal Ball, the uncertainty range of the emission inventory of FRD in Jinan ranged from −79.9 to 151.8%. In 2020, about 985,200 tons of road particulate matter in Jinan City entered the atmosphere, having an adverse effect on air quality and human health.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su16114771</doi><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Air pollution Air quality Dust Emissions Monte Carlo method Outdoor air quality Particle size Pollutants Pollution control Roads & highways Statistical analysis Traffic Transportation Transportation industry Vehicles |
| title | Spatial Distribution Characteristics of Fugitive Road Dust Emissions from a Transportation Hub City (Jinan) in China and Their Impact on the Atmosphere in 2020 |
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