Urban Forest Locations and Patch Characteristics Regulate PM2.5 Mitigation Capacity
Atmospheric pollution caused by fine particulate matter (PM2.5) seriously damages human health. Urban forests have the ecological function of purifying the atmosphere, which can effectively reduce the ambient PM2.5 concentration. This paper analyzed the ability of different forest types to mitigate...
Gespeichert in:
Veröffentlicht in: | Forests 2022-09, Vol.13 (9), p.1408 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 9 |
container_start_page | 1408 |
container_title | Forests |
container_volume | 13 |
creator | Zhai, Chang Bao, Guangdao Zhang, Dan Sha, Yinghu |
description | Atmospheric pollution caused by fine particulate matter (PM2.5) seriously damages human health. Urban forests have the ecological function of purifying the atmosphere, which can effectively reduce the ambient PM2.5 concentration. This paper analyzed the ability of different forest types to mitigate PM2.5 pollution and explored the effects of forest quality and morphological parameters on PM2.5 concentration on the forest patch level. The results concluded that the PM2.5 concentration of the Landscape and Relaxation Forest (LF) was significantly lower than that of the Roadside Forest (RF) and Affiliated Forest (AF) due to the environmental quality of their location. The effective distance of LF on PM2.5 reduction was 80 m, which was significantly higher than RF and AF. The Normalized Difference Vegetation Index (NDVI), which indicated forest growth status, was the most effective parameter for improving the urban forest PM2.5 mitigation ability. The concentration of PM2.5 decreased linearly with the increase in NDVI. The area and perimeter of the forest patches had a significant nonlinear negative correlation with PM2.5 concentration. In addition, the more irregular the shape of the forest patch, the lower the PM2.5 concentration of the forest. Moreover, the simpler shape of RF and AF helped to alleviate PM2.5 pollution. The round shape of AF more efficiently reduced PM2.5 concentration. Our study demonstrated that the surrounding environment, forest growth status, and patch forms determined the PM2.5 reduction capacity of an urban forest. The corresponding management and adjustment methods should be implemented in future urban forest management. |
doi_str_mv | 10.3390/f13091408 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2716529224</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2716529224</sourcerecordid><originalsourceid>FETCH-LOGICAL-c292t-2d9071a5d8496e1e8c9d8733d4eab6218a79f03bfe4715850ac3b0a3f07130243</originalsourceid><addsrcrecordid>eNpNULtOwzAUtRBIVKUDf2CJiSHFryT2iCJKkVJRAZ2jG8duXZUk2M7Qvye0CHGXc4fz0kHolpI554o8WMqJooLICzShSqlEKJJf_vuv0SyEPRkvzaViYoLeN76GFi86b0LEZachuq4NGNoGryHqHS524EFH412ITgf8ZrbDAaLB6xWbp3jlotueRLiAHrSLxxt0ZeEQzOwXp2izePoolkn5-vxSPJaJZorFhDVjIwppI4XKDDVSq0bmnDfCQJ0xKiFXlvDaGpHTVKYENK8JcDuqOGGCT9Hd2bf33dcw9q_23eDbMbJiOc3SMeXEuj-ztO9C8MZWvXef4I8VJdXPbNXfbPwbSX9dNw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2716529224</pqid></control><display><type>article</type><title>Urban Forest Locations and Patch Characteristics Regulate PM2.5 Mitigation Capacity</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Zhai, Chang ; Bao, Guangdao ; Zhang, Dan ; Sha, Yinghu</creator><creatorcontrib>Zhai, Chang ; Bao, Guangdao ; Zhang, Dan ; Sha, Yinghu</creatorcontrib><description>Atmospheric pollution caused by fine particulate matter (PM2.5) seriously damages human health. Urban forests have the ecological function of purifying the atmosphere, which can effectively reduce the ambient PM2.5 concentration. This paper analyzed the ability of different forest types to mitigate PM2.5 pollution and explored the effects of forest quality and morphological parameters on PM2.5 concentration on the forest patch level. The results concluded that the PM2.5 concentration of the Landscape and Relaxation Forest (LF) was significantly lower than that of the Roadside Forest (RF) and Affiliated Forest (AF) due to the environmental quality of their location. The effective distance of LF on PM2.5 reduction was 80 m, which was significantly higher than RF and AF. The Normalized Difference Vegetation Index (NDVI), which indicated forest growth status, was the most effective parameter for improving the urban forest PM2.5 mitigation ability. The concentration of PM2.5 decreased linearly with the increase in NDVI. The area and perimeter of the forest patches had a significant nonlinear negative correlation with PM2.5 concentration. In addition, the more irregular the shape of the forest patch, the lower the PM2.5 concentration of the forest. Moreover, the simpler shape of RF and AF helped to alleviate PM2.5 pollution. The round shape of AF more efficiently reduced PM2.5 concentration. Our study demonstrated that the surrounding environment, forest growth status, and patch forms determined the PM2.5 reduction capacity of an urban forest. The corresponding management and adjustment methods should be implemented in future urban forest management.</description><identifier>ISSN: 1999-4907</identifier><identifier>EISSN: 1999-4907</identifier><identifier>DOI: 10.3390/f13091408</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Air pollution ; Cities ; Climate change ; Ecological effects ; Ecological function ; Environmental impact ; Environmental quality ; Forest growth ; Forest management ; Forests ; Normalized difference vegetative index ; Outdoor air quality ; Parameters ; Particulate matter ; Pollutants ; Pollution ; Pollution control ; Precipitation ; Roadsides ; Urban forests ; Urbanization ; Vegetation ; VOCs ; Volatile organic compounds</subject><ispartof>Forests, 2022-09, Vol.13 (9), p.1408</ispartof><rights>2022 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><citedby>FETCH-LOGICAL-c292t-2d9071a5d8496e1e8c9d8733d4eab6218a79f03bfe4715850ac3b0a3f07130243</citedby><cites>FETCH-LOGICAL-c292t-2d9071a5d8496e1e8c9d8733d4eab6218a79f03bfe4715850ac3b0a3f07130243</cites><orcidid>0000-0002-3229-5769</orcidid></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>Zhai, Chang</creatorcontrib><creatorcontrib>Bao, Guangdao</creatorcontrib><creatorcontrib>Zhang, Dan</creatorcontrib><creatorcontrib>Sha, Yinghu</creatorcontrib><title>Urban Forest Locations and Patch Characteristics Regulate PM2.5 Mitigation Capacity</title><title>Forests</title><description>Atmospheric pollution caused by fine particulate matter (PM2.5) seriously damages human health. Urban forests have the ecological function of purifying the atmosphere, which can effectively reduce the ambient PM2.5 concentration. This paper analyzed the ability of different forest types to mitigate PM2.5 pollution and explored the effects of forest quality and morphological parameters on PM2.5 concentration on the forest patch level. The results concluded that the PM2.5 concentration of the Landscape and Relaxation Forest (LF) was significantly lower than that of the Roadside Forest (RF) and Affiliated Forest (AF) due to the environmental quality of their location. The effective distance of LF on PM2.5 reduction was 80 m, which was significantly higher than RF and AF. The Normalized Difference Vegetation Index (NDVI), which indicated forest growth status, was the most effective parameter for improving the urban forest PM2.5 mitigation ability. The concentration of PM2.5 decreased linearly with the increase in NDVI. The area and perimeter of the forest patches had a significant nonlinear negative correlation with PM2.5 concentration. In addition, the more irregular the shape of the forest patch, the lower the PM2.5 concentration of the forest. Moreover, the simpler shape of RF and AF helped to alleviate PM2.5 pollution. The round shape of AF more efficiently reduced PM2.5 concentration. Our study demonstrated that the surrounding environment, forest growth status, and patch forms determined the PM2.5 reduction capacity of an urban forest. The corresponding management and adjustment methods should be implemented in future urban forest management.</description><subject>Accuracy</subject><subject>Air pollution</subject><subject>Cities</subject><subject>Climate change</subject><subject>Ecological effects</subject><subject>Ecological function</subject><subject>Environmental impact</subject><subject>Environmental quality</subject><subject>Forest growth</subject><subject>Forest management</subject><subject>Forests</subject><subject>Normalized difference vegetative index</subject><subject>Outdoor air quality</subject><subject>Parameters</subject><subject>Particulate matter</subject><subject>Pollutants</subject><subject>Pollution</subject><subject>Pollution control</subject><subject>Precipitation</subject><subject>Roadsides</subject><subject>Urban forests</subject><subject>Urbanization</subject><subject>Vegetation</subject><subject>VOCs</subject><subject>Volatile organic compounds</subject><issn>1999-4907</issn><issn>1999-4907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNULtOwzAUtRBIVKUDf2CJiSHFryT2iCJKkVJRAZ2jG8duXZUk2M7Qvye0CHGXc4fz0kHolpI554o8WMqJooLICzShSqlEKJJf_vuv0SyEPRkvzaViYoLeN76GFi86b0LEZachuq4NGNoGryHqHS524EFH412ITgf8ZrbDAaLB6xWbp3jlotueRLiAHrSLxxt0ZeEQzOwXp2izePoolkn5-vxSPJaJZorFhDVjIwppI4XKDDVSq0bmnDfCQJ0xKiFXlvDaGpHTVKYENK8JcDuqOGGCT9Hd2bf33dcw9q_23eDbMbJiOc3SMeXEuj-ztO9C8MZWvXef4I8VJdXPbNXfbPwbSX9dNw</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Zhai, Chang</creator><creator>Bao, Guangdao</creator><creator>Zhang, Dan</creator><creator>Sha, Yinghu</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0002-3229-5769</orcidid></search><sort><creationdate>20220901</creationdate><title>Urban Forest Locations and Patch Characteristics Regulate PM2.5 Mitigation Capacity</title><author>Zhai, Chang ; Bao, Guangdao ; Zhang, Dan ; Sha, Yinghu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-2d9071a5d8496e1e8c9d8733d4eab6218a79f03bfe4715850ac3b0a3f07130243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Air pollution</topic><topic>Cities</topic><topic>Climate change</topic><topic>Ecological effects</topic><topic>Ecological function</topic><topic>Environmental impact</topic><topic>Environmental quality</topic><topic>Forest growth</topic><topic>Forest management</topic><topic>Forests</topic><topic>Normalized difference vegetative index</topic><topic>Outdoor air quality</topic><topic>Parameters</topic><topic>Particulate matter</topic><topic>Pollutants</topic><topic>Pollution</topic><topic>Pollution control</topic><topic>Precipitation</topic><topic>Roadsides</topic><topic>Urban forests</topic><topic>Urbanization</topic><topic>Vegetation</topic><topic>VOCs</topic><topic>Volatile organic compounds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhai, Chang</creatorcontrib><creatorcontrib>Bao, Guangdao</creatorcontrib><creatorcontrib>Zhang, Dan</creatorcontrib><creatorcontrib>Sha, Yinghu</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</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>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>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</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>Environmental Science Collection</collection><jtitle>Forests</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhai, Chang</au><au>Bao, Guangdao</au><au>Zhang, Dan</au><au>Sha, Yinghu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Urban Forest Locations and Patch Characteristics Regulate PM2.5 Mitigation Capacity</atitle><jtitle>Forests</jtitle><date>2022-09-01</date><risdate>2022</risdate><volume>13</volume><issue>9</issue><spage>1408</spage><pages>1408-</pages><issn>1999-4907</issn><eissn>1999-4907</eissn><abstract>Atmospheric pollution caused by fine particulate matter (PM2.5) seriously damages human health. Urban forests have the ecological function of purifying the atmosphere, which can effectively reduce the ambient PM2.5 concentration. This paper analyzed the ability of different forest types to mitigate PM2.5 pollution and explored the effects of forest quality and morphological parameters on PM2.5 concentration on the forest patch level. The results concluded that the PM2.5 concentration of the Landscape and Relaxation Forest (LF) was significantly lower than that of the Roadside Forest (RF) and Affiliated Forest (AF) due to the environmental quality of their location. The effective distance of LF on PM2.5 reduction was 80 m, which was significantly higher than RF and AF. The Normalized Difference Vegetation Index (NDVI), which indicated forest growth status, was the most effective parameter for improving the urban forest PM2.5 mitigation ability. The concentration of PM2.5 decreased linearly with the increase in NDVI. The area and perimeter of the forest patches had a significant nonlinear negative correlation with PM2.5 concentration. In addition, the more irregular the shape of the forest patch, the lower the PM2.5 concentration of the forest. Moreover, the simpler shape of RF and AF helped to alleviate PM2.5 pollution. The round shape of AF more efficiently reduced PM2.5 concentration. Our study demonstrated that the surrounding environment, forest growth status, and patch forms determined the PM2.5 reduction capacity of an urban forest. The corresponding management and adjustment methods should be implemented in future urban forest management.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/f13091408</doi><orcidid>https://orcid.org/0000-0002-3229-5769</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1999-4907 |
ispartof | Forests, 2022-09, Vol.13 (9), p.1408 |
issn | 1999-4907 1999-4907 |
language | eng |
recordid | cdi_proquest_journals_2716529224 |
source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Accuracy Air pollution Cities Climate change Ecological effects Ecological function Environmental impact Environmental quality Forest growth Forest management Forests Normalized difference vegetative index Outdoor air quality Parameters Particulate matter Pollutants Pollution Pollution control Precipitation Roadsides Urban forests Urbanization Vegetation VOCs Volatile organic compounds |
title | Urban Forest Locations and Patch Characteristics Regulate PM2.5 Mitigation Capacity |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T11%3A53%3A59IST&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=Urban%20Forest%20Locations%20and%20Patch%20Characteristics%20Regulate%20PM2.5%20Mitigation%20Capacity&rft.jtitle=Forests&rft.au=Zhai,%20Chang&rft.date=2022-09-01&rft.volume=13&rft.issue=9&rft.spage=1408&rft.pages=1408-&rft.issn=1999-4907&rft.eissn=1999-4907&rft_id=info:doi/10.3390/f13091408&rft_dat=%3Cproquest_cross%3E2716529224%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=2716529224&rft_id=info:pmid/&rfr_iscdi=true |