Will different land uses affect heavy metal pollution in soils of roadside trees? An empirical study from Shanghai
Heavy metal pollution in roadside soil may harm humans, animals, plants, and local ecosystems. This study aimed to explore the sources and potential ecological risks of heavy metals in soils of roadside trees under different land uses, using soil samples collected from 136 roads across 16 administra...
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| Veröffentlicht in: | Environmental monitoring and assessment 2023-11, Vol.195 (11), p.1388-1388, Article 1388 |
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| creator | He, Kun Wang, Junjie Geng, Hefang Qin, Zhenyan Li, Nan Zhang, Yanting Yang, Ruiqing Feng, Shucheng Wang, Benyao |
| description | Heavy metal pollution in roadside soil may harm humans, animals, plants, and local ecosystems. This study aimed to explore the sources and potential ecological risks of heavy metals in soils of roadside trees under different land uses, using soil samples collected from 136 roads across 16 administrative districts in Shanghai. The contents, pollution characteristics, potential ecological risks, and sources of seven heavy metals were analyzed, including Cr, Ni, Cd, Pb, As, Cu, and Zn. Results showed that (1) land use patterns affected the heavy metal contents, with industrial and construction areas showing higher contents while agricultural and forestry areas lower; (2) the ranking of heavy metal pollution levels was Cd > As > Pb > Cu > Ni > Cr > Zn. Cd exhibited the highest potential ecological risk, falling within the moderate to considerable potential ecological risk interval; (3) the sources of Cu, Zn, Cr, Ni, Cd, and Pb were associated with traffic emissions, whereas As had independent other sources and Pb in industrial and construction areas was also influenced by industrial emissions. These results provide valuable references on the control of heavy metal pollutants and the management of land uses in megacities. |
| doi_str_mv | 10.1007/s10661-023-12021-y |
| format | Article |
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Results showed that (1) land use patterns affected the heavy metal contents, with industrial and construction areas showing higher contents while agricultural and forestry areas lower; (2) the ranking of heavy metal pollution levels was Cd > As > Pb > Cu > Ni > Cr > Zn. Cd exhibited the highest potential ecological risk, falling within the moderate to considerable potential ecological risk interval; (3) the sources of Cu, Zn, Cr, Ni, Cd, and Pb were associated with traffic emissions, whereas As had independent other sources and Pb in industrial and construction areas was also influenced by industrial emissions. These results provide valuable references on the control of heavy metal pollutants and the management of land uses in megacities.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-023-12021-y</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Atmospheric Protection/Air Quality Control/Air Pollution ; Cadmium ; China ; Chromium ; Construction ; Copper ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Emissions ; Empirical analysis ; empirical research ; Environment ; Environmental Management ; Environmental monitoring ; forestry ; Heavy metals ; Industrial emissions ; Industrial pollution ; Land pollution ; Land use ; Lead ; Megacities ; Metal content ; Monitoring/Environmental Analysis ; Nickel ; Pollution ; Pollution levels ; risk ; roadside soils ; Roadsides ; Soil ; Soil pollution ; traffic ; Trees ; Vehicle emissions ; Zinc</subject><ispartof>Environmental monitoring and assessment, 2023-11, Vol.195 (11), p.1388-1388, Article 1388</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-cc5c8b8c3548fd31119da0f137d1417161a49fc69b91948a9bd484ddafddcca3</citedby><cites>FETCH-LOGICAL-c385t-cc5c8b8c3548fd31119da0f137d1417161a49fc69b91948a9bd484ddafddcca3</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/s10661-023-12021-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-023-12021-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>He, Kun</creatorcontrib><creatorcontrib>Wang, Junjie</creatorcontrib><creatorcontrib>Geng, Hefang</creatorcontrib><creatorcontrib>Qin, Zhenyan</creatorcontrib><creatorcontrib>Li, Nan</creatorcontrib><creatorcontrib>Zhang, Yanting</creatorcontrib><creatorcontrib>Yang, Ruiqing</creatorcontrib><creatorcontrib>Feng, Shucheng</creatorcontrib><creatorcontrib>Wang, Benyao</creatorcontrib><title>Will different land uses affect heavy metal pollution in soils of roadside trees? An empirical study from Shanghai</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><description>Heavy metal pollution in roadside soil may harm humans, animals, plants, and local ecosystems. This study aimed to explore the sources and potential ecological risks of heavy metals in soils of roadside trees under different land uses, using soil samples collected from 136 roads across 16 administrative districts in Shanghai. The contents, pollution characteristics, potential ecological risks, and sources of seven heavy metals were analyzed, including Cr, Ni, Cd, Pb, As, Cu, and Zn. Results showed that (1) land use patterns affected the heavy metal contents, with industrial and construction areas showing higher contents while agricultural and forestry areas lower; (2) the ranking of heavy metal pollution levels was Cd > As > Pb > Cu > Ni > Cr > Zn. Cd exhibited the highest potential ecological risk, falling within the moderate to considerable potential ecological risk interval; (3) the sources of Cu, Zn, Cr, Ni, Cd, and Pb were associated with traffic emissions, whereas As had independent other sources and Pb in industrial and construction areas was also influenced by industrial emissions. These results provide valuable references on the control of heavy metal pollutants and the management of land uses in megacities.</description><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Cadmium</subject><subject>China</subject><subject>Chromium</subject><subject>Construction</subject><subject>Copper</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Emissions</subject><subject>Empirical analysis</subject><subject>empirical research</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental monitoring</subject><subject>forestry</subject><subject>Heavy metals</subject><subject>Industrial emissions</subject><subject>Industrial pollution</subject><subject>Land pollution</subject><subject>Land use</subject><subject>Lead</subject><subject>Megacities</subject><subject>Metal content</subject><subject>Monitoring/Environmental Analysis</subject><subject>Nickel</subject><subject>Pollution</subject><subject>Pollution levels</subject><subject>risk</subject><subject>roadside soils</subject><subject>Roadsides</subject><subject>Soil</subject><subject>Soil pollution</subject><subject>traffic</subject><subject>Trees</subject><subject>Vehicle emissions</subject><subject>Zinc</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqFkU1LHTEUhkOp0Fv1D3QV6KabsTmTyUyyEpGqBcFFBZchNx_eSGZymzNTmH_f6C0ILurqwOF5Xnh5CfkC7AwYG74jsL6HhrW8gZa10KwfyAbEwJtWCfWRbBj0Q9PzXn0inxGfGGNq6NSGlIeYEnUxBF_8NNNkJkcX9EhNfdmZ7rz5s9LRzybRfU5pmWOeaJwo5piQ5kBLNg6j83Qu3uM5vZioH_exRFsVnBe30lDySH_tzPS4M_GEHAWT0J_-u8fk_urH_eVNc3t3_fPy4raxXIq5sVZYuZWWi04GxwFAOcMC8MFBBwP0YDoVbK-2ClQnjdq6TnbOmeCctYYfk2-H2H3JvxePsx4jWp9qQ58X1BwEFwNwAe-irZQVZUzyin59gz7lpUy1xwsFQy_YM9UeKFsyYvFB70scTVk1MP08mD4Mputg-mUwvVaJHySs8PToy2v0f6y_IjmZ4w</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>He, Kun</creator><creator>Wang, Junjie</creator><creator>Geng, Hefang</creator><creator>Qin, Zhenyan</creator><creator>Li, Nan</creator><creator>Zhang, Yanting</creator><creator>Yang, Ruiqing</creator><creator>Feng, Shucheng</creator><creator>Wang, Benyao</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</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>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20231101</creationdate><title>Will different land uses affect heavy metal pollution in soils of roadside trees? 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An empirical study from Shanghai</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><date>2023-11-01</date><risdate>2023</risdate><volume>195</volume><issue>11</issue><spage>1388</spage><epage>1388</epage><pages>1388-1388</pages><artnum>1388</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Heavy metal pollution in roadside soil may harm humans, animals, plants, and local ecosystems. This study aimed to explore the sources and potential ecological risks of heavy metals in soils of roadside trees under different land uses, using soil samples collected from 136 roads across 16 administrative districts in Shanghai. The contents, pollution characteristics, potential ecological risks, and sources of seven heavy metals were analyzed, including Cr, Ni, Cd, Pb, As, Cu, and Zn. Results showed that (1) land use patterns affected the heavy metal contents, with industrial and construction areas showing higher contents while agricultural and forestry areas lower; (2) the ranking of heavy metal pollution levels was Cd > As > Pb > Cu > Ni > Cr > Zn. Cd exhibited the highest potential ecological risk, falling within the moderate to considerable potential ecological risk interval; (3) the sources of Cu, Zn, Cr, Ni, Cd, and Pb were associated with traffic emissions, whereas As had independent other sources and Pb in industrial and construction areas was also influenced by industrial emissions. These results provide valuable references on the control of heavy metal pollutants and the management of land uses in megacities.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10661-023-12021-y</doi><tpages>1</tpages></addata></record> |
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| subjects | Atmospheric Protection/Air Quality Control/Air Pollution Cadmium China Chromium Construction Copper Earth and Environmental Science Ecology Ecotoxicology Emissions Empirical analysis empirical research Environment Environmental Management Environmental monitoring forestry Heavy metals Industrial emissions Industrial pollution Land pollution Land use Lead Megacities Metal content Monitoring/Environmental Analysis Nickel Pollution Pollution levels risk roadside soils Roadsides Soil Soil pollution traffic Trees Vehicle emissions Zinc |
| title | Will different land uses affect heavy metal pollution in soils of roadside trees? An empirical study from Shanghai |
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