Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements

Increasing knowledge in the law of particulate matter (PM) distributions beside elevated expressways could assist in addressing the deterioration of urban air quality. However, the vertical distribution patterns of PM concentration have not been clearly recognized due to limited measurement methods....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Building and environment 2021-12, Vol.206, p.108330, Article 108330
Hauptverfasser: Liu, Xin, Shi, Xue-Qing, He, Hong-Di, Li, Xiao-Bing, Peng, Zhong-Ren
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 108330
container_title Building and environment
container_volume 206
creator Liu, Xin
Shi, Xue-Qing
He, Hong-Di
Li, Xiao-Bing
Peng, Zhong-Ren
description Increasing knowledge in the law of particulate matter (PM) distributions beside elevated expressways could assist in addressing the deterioration of urban air quality. However, the vertical distribution patterns of PM concentration have not been clearly recognized due to limited measurement methods. Hence, unmanned aerial vehicle (UAV) measurements are carried out at three typical sites near an elevated expressway to investigate the effects of the noise barrier, vegetation, and building on PM vertical distribution patterns. Results show that the order of mean PM concentration in three trial sites from low to high is: 86.3 μg/m3 at VN (with vegetation and noise barrier), 90.2 μg/m3 at CT (control, without vegetation, noise barrier, and building), and 93.2 μg/m3 at VNB (with vegetation, noise barrier, and building) site. Additionally, the PM1 concentrations present a unimodal distribution, peaking at 5–7 m and 7–9 m at CT and VN sites, respectively. PM10 concentrations decrease continuously with height at CT site and show a bimodal distribution at VN site, with the maximum and the upper peak occurring at 0–3 m and 5–7 m, respectively. High-density vegetation is more conducive to remove PM downwind than low-density vegetation in the open road, while the opposite is true in the street canyon. Moreover, statistically significant positive correlations are obtained between roadside concentration and traffic volume, as well as between roadside concentration and background concentration, with Spearman correlation coefficients of 0.61 and 0.93, respectively. This study could provide insights in mitigating traffic-related PM pollution into urban areas. [Display omitted] •PM distributions near an elevated expressway are revealed by instrumented UAVs.•PM1 and PM10 have a significant correlation at each site.•High-density vegetation is more conducive to remove PM downwind in open road.•The combination of barrier and building is adverse to air quality near the viaduct.
doi_str_mv 10.1016/j.buildenv.2021.108330
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2614642673</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360132321007277</els_id><sourcerecordid>2614642673</sourcerecordid><originalsourceid>FETCH-LOGICAL-c340t-9d99fc63662e65150e9b3271581e90ebca909d85060919a080032993b73c9cf83</originalsourceid><addsrcrecordid>eNqFUE1LwzAYDqLgnP4FCXjufNO0aXNThl8w8KLiLaTpW5bRpTNJpzv6z82Ynj298HzyPoRcMpgxYOJ6NWtG27fotrMccpbAmnM4IhNWVzwTdfF-TCbABWSM5_yUnIWwgmSUvJiQ7zf00Rrd09aG6G0zRjs4apbaaxPRJ9CaQIeObvReOPY6Il3rmDjaYLAtUu0o9rhNREvxa-MxhE-9o82Ojm6tnUuwTkmpY4tLa_rkRx1Gj2t0MZyTk073AS9-75S83t-9zB-zxfPD0_x2kRleQMxkK2VnBBciR1GyElA2PK9YWTOUgI3REmRblyBAMqmhBuC5lLypuJGmq_mUXB1yN374GDFEtRpG71KlygUrRJGLiieVOKiMH0Lw2KmNt2vtd4qB2s-tVupvbrWfWx3mTsabgxHTD1uLXgVj0RlsrUcTVTvY_yJ-AGLDjss</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2614642673</pqid></control><display><type>article</type><title>Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Liu, Xin ; Shi, Xue-Qing ; He, Hong-Di ; Li, Xiao-Bing ; Peng, Zhong-Ren</creator><creatorcontrib>Liu, Xin ; Shi, Xue-Qing ; He, Hong-Di ; Li, Xiao-Bing ; Peng, Zhong-Ren</creatorcontrib><description>Increasing knowledge in the law of particulate matter (PM) distributions beside elevated expressways could assist in addressing the deterioration of urban air quality. However, the vertical distribution patterns of PM concentration have not been clearly recognized due to limited measurement methods. Hence, unmanned aerial vehicle (UAV) measurements are carried out at three typical sites near an elevated expressway to investigate the effects of the noise barrier, vegetation, and building on PM vertical distribution patterns. Results show that the order of mean PM concentration in three trial sites from low to high is: 86.3 μg/m3 at VN (with vegetation and noise barrier), 90.2 μg/m3 at CT (control, without vegetation, noise barrier, and building), and 93.2 μg/m3 at VNB (with vegetation, noise barrier, and building) site. Additionally, the PM1 concentrations present a unimodal distribution, peaking at 5–7 m and 7–9 m at CT and VN sites, respectively. PM10 concentrations decrease continuously with height at CT site and show a bimodal distribution at VN site, with the maximum and the upper peak occurring at 0–3 m and 5–7 m, respectively. High-density vegetation is more conducive to remove PM downwind than low-density vegetation in the open road, while the opposite is true in the street canyon. Moreover, statistically significant positive correlations are obtained between roadside concentration and traffic volume, as well as between roadside concentration and background concentration, with Spearman correlation coefficients of 0.61 and 0.93, respectively. This study could provide insights in mitigating traffic-related PM pollution into urban areas. [Display omitted] •PM distributions near an elevated expressway are revealed by instrumented UAVs.•PM1 and PM10 have a significant correlation at each site.•High-density vegetation is more conducive to remove PM downwind in open road.•The combination of barrier and building is adverse to air quality near the viaduct.</description><identifier>ISSN: 0360-1323</identifier><identifier>EISSN: 1873-684X</identifier><identifier>DOI: 10.1016/j.buildenv.2021.108330</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Air pollution ; Air quality ; Building ; Correlation coefficient ; Correlation coefficients ; Density ; Distribution patterns ; Highways ; Measurement methods ; Noise ; Noise barrier ; Noise barriers ; Noise control ; Outdoor air quality ; Particulate emissions ; Particulate matter ; Roadsides ; Statistical analysis ; Street canyons ; Traffic volume ; Unmanned aerial vehicles ; Urban areas ; Urban traffic pollution ; Vegetation ; Vertical distribution</subject><ispartof>Building and environment, 2021-12, Vol.206, p.108330, Article 108330</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier BV Dec 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-9d99fc63662e65150e9b3271581e90ebca909d85060919a080032993b73c9cf83</citedby><cites>FETCH-LOGICAL-c340t-9d99fc63662e65150e9b3271581e90ebca909d85060919a080032993b73c9cf83</cites><orcidid>0000-0002-5820-3869</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360132321007277$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Shi, Xue-Qing</creatorcontrib><creatorcontrib>He, Hong-Di</creatorcontrib><creatorcontrib>Li, Xiao-Bing</creatorcontrib><creatorcontrib>Peng, Zhong-Ren</creatorcontrib><title>Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements</title><title>Building and environment</title><description>Increasing knowledge in the law of particulate matter (PM) distributions beside elevated expressways could assist in addressing the deterioration of urban air quality. However, the vertical distribution patterns of PM concentration have not been clearly recognized due to limited measurement methods. Hence, unmanned aerial vehicle (UAV) measurements are carried out at three typical sites near an elevated expressway to investigate the effects of the noise barrier, vegetation, and building on PM vertical distribution patterns. Results show that the order of mean PM concentration in three trial sites from low to high is: 86.3 μg/m3 at VN (with vegetation and noise barrier), 90.2 μg/m3 at CT (control, without vegetation, noise barrier, and building), and 93.2 μg/m3 at VNB (with vegetation, noise barrier, and building) site. Additionally, the PM1 concentrations present a unimodal distribution, peaking at 5–7 m and 7–9 m at CT and VN sites, respectively. PM10 concentrations decrease continuously with height at CT site and show a bimodal distribution at VN site, with the maximum and the upper peak occurring at 0–3 m and 5–7 m, respectively. High-density vegetation is more conducive to remove PM downwind than low-density vegetation in the open road, while the opposite is true in the street canyon. Moreover, statistically significant positive correlations are obtained between roadside concentration and traffic volume, as well as between roadside concentration and background concentration, with Spearman correlation coefficients of 0.61 and 0.93, respectively. This study could provide insights in mitigating traffic-related PM pollution into urban areas. [Display omitted] •PM distributions near an elevated expressway are revealed by instrumented UAVs.•PM1 and PM10 have a significant correlation at each site.•High-density vegetation is more conducive to remove PM downwind in open road.•The combination of barrier and building is adverse to air quality near the viaduct.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Building</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Density</subject><subject>Distribution patterns</subject><subject>Highways</subject><subject>Measurement methods</subject><subject>Noise</subject><subject>Noise barrier</subject><subject>Noise barriers</subject><subject>Noise control</subject><subject>Outdoor air quality</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Roadsides</subject><subject>Statistical analysis</subject><subject>Street canyons</subject><subject>Traffic volume</subject><subject>Unmanned aerial vehicles</subject><subject>Urban areas</subject><subject>Urban traffic pollution</subject><subject>Vegetation</subject><subject>Vertical distribution</subject><issn>0360-1323</issn><issn>1873-684X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFUE1LwzAYDqLgnP4FCXjufNO0aXNThl8w8KLiLaTpW5bRpTNJpzv6z82Ynj298HzyPoRcMpgxYOJ6NWtG27fotrMccpbAmnM4IhNWVzwTdfF-TCbABWSM5_yUnIWwgmSUvJiQ7zf00Rrd09aG6G0zRjs4apbaaxPRJ9CaQIeObvReOPY6Il3rmDjaYLAtUu0o9rhNREvxa-MxhE-9o82Ojm6tnUuwTkmpY4tLa_rkRx1Gj2t0MZyTk073AS9-75S83t-9zB-zxfPD0_x2kRleQMxkK2VnBBciR1GyElA2PK9YWTOUgI3REmRblyBAMqmhBuC5lLypuJGmq_mUXB1yN374GDFEtRpG71KlygUrRJGLiieVOKiMH0Lw2KmNt2vtd4qB2s-tVupvbrWfWx3mTsabgxHTD1uLXgVj0RlsrUcTVTvY_yJ-AGLDjss</recordid><startdate>202112</startdate><enddate>202112</enddate><creator>Liu, Xin</creator><creator>Shi, Xue-Qing</creator><creator>He, Hong-Di</creator><creator>Li, Xiao-Bing</creator><creator>Peng, Zhong-Ren</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-5820-3869</orcidid></search><sort><creationdate>202112</creationdate><title>Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements</title><author>Liu, Xin ; Shi, Xue-Qing ; He, Hong-Di ; Li, Xiao-Bing ; Peng, Zhong-Ren</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-9d99fc63662e65150e9b3271581e90ebca909d85060919a080032993b73c9cf83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air pollution</topic><topic>Air quality</topic><topic>Building</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Density</topic><topic>Distribution patterns</topic><topic>Highways</topic><topic>Measurement methods</topic><topic>Noise</topic><topic>Noise barrier</topic><topic>Noise barriers</topic><topic>Noise control</topic><topic>Outdoor air quality</topic><topic>Particulate emissions</topic><topic>Particulate matter</topic><topic>Roadsides</topic><topic>Statistical analysis</topic><topic>Street canyons</topic><topic>Traffic volume</topic><topic>Unmanned aerial vehicles</topic><topic>Urban areas</topic><topic>Urban traffic pollution</topic><topic>Vegetation</topic><topic>Vertical distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xin</creatorcontrib><creatorcontrib>Shi, Xue-Qing</creatorcontrib><creatorcontrib>He, Hong-Di</creatorcontrib><creatorcontrib>Li, Xiao-Bing</creatorcontrib><creatorcontrib>Peng, Zhong-Ren</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Building and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xin</au><au>Shi, Xue-Qing</au><au>He, Hong-Di</au><au>Li, Xiao-Bing</au><au>Peng, Zhong-Ren</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements</atitle><jtitle>Building and environment</jtitle><date>2021-12</date><risdate>2021</risdate><volume>206</volume><spage>108330</spage><pages>108330-</pages><artnum>108330</artnum><issn>0360-1323</issn><eissn>1873-684X</eissn><abstract>Increasing knowledge in the law of particulate matter (PM) distributions beside elevated expressways could assist in addressing the deterioration of urban air quality. However, the vertical distribution patterns of PM concentration have not been clearly recognized due to limited measurement methods. Hence, unmanned aerial vehicle (UAV) measurements are carried out at three typical sites near an elevated expressway to investigate the effects of the noise barrier, vegetation, and building on PM vertical distribution patterns. Results show that the order of mean PM concentration in three trial sites from low to high is: 86.3 μg/m3 at VN (with vegetation and noise barrier), 90.2 μg/m3 at CT (control, without vegetation, noise barrier, and building), and 93.2 μg/m3 at VNB (with vegetation, noise barrier, and building) site. Additionally, the PM1 concentrations present a unimodal distribution, peaking at 5–7 m and 7–9 m at CT and VN sites, respectively. PM10 concentrations decrease continuously with height at CT site and show a bimodal distribution at VN site, with the maximum and the upper peak occurring at 0–3 m and 5–7 m, respectively. High-density vegetation is more conducive to remove PM downwind than low-density vegetation in the open road, while the opposite is true in the street canyon. Moreover, statistically significant positive correlations are obtained between roadside concentration and traffic volume, as well as between roadside concentration and background concentration, with Spearman correlation coefficients of 0.61 and 0.93, respectively. This study could provide insights in mitigating traffic-related PM pollution into urban areas. [Display omitted] •PM distributions near an elevated expressway are revealed by instrumented UAVs.•PM1 and PM10 have a significant correlation at each site.•High-density vegetation is more conducive to remove PM downwind in open road.•The combination of barrier and building is adverse to air quality near the viaduct.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.buildenv.2021.108330</doi><orcidid>https://orcid.org/0000-0002-5820-3869</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0360-1323
ispartof Building and environment, 2021-12, Vol.206, p.108330, Article 108330
issn 0360-1323
1873-684X
language eng
recordid cdi_proquest_journals_2614642673
source Elsevier ScienceDirect Journals Complete
subjects Air pollution
Air quality
Building
Correlation coefficient
Correlation coefficients
Density
Distribution patterns
Highways
Measurement methods
Noise
Noise barrier
Noise barriers
Noise control
Outdoor air quality
Particulate emissions
Particulate matter
Roadsides
Statistical analysis
Street canyons
Traffic volume
Unmanned aerial vehicles
Urban areas
Urban traffic pollution
Vegetation
Vertical distribution
title Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T15%3A32%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Vertical%20distribution%20characteristics%20of%20particulate%20matter%20beside%20an%20elevated%20expressway%20by%20unmanned%20aerial%20vehicle%20measurements&rft.jtitle=Building%20and%20environment&rft.au=Liu,%20Xin&rft.date=2021-12&rft.volume=206&rft.spage=108330&rft.pages=108330-&rft.artnum=108330&rft.issn=0360-1323&rft.eissn=1873-684X&rft_id=info:doi/10.1016/j.buildenv.2021.108330&rft_dat=%3Cproquest_cross%3E2614642673%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2614642673&rft_id=info:pmid/&rft_els_id=S0360132321007277&rfr_iscdi=true