Source apportionment of heavy metals in the soil at the regional scale based on soil-forming processes

Source apportionment is crucial to the prevention and control of heavy metals in the soil. The major methods focus on the identification of soil heavy metals from different pollution sources. However, they are unsuited to the source apportionment at a regional scale due to ignoring the spatial heter...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of hazardous materials 2023-04, Vol.448, p.130910-130910, Article 130910
Hauptverfasser: Wu, Bo, Li, Linlin, Guo, Shuhai, Li, Yang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 130910
container_issue
container_start_page 130910
container_title Journal of hazardous materials
container_volume 448
creator Wu, Bo
Li, Linlin
Guo, Shuhai
Li, Yang
description Source apportionment is crucial to the prevention and control of heavy metals in the soil. The major methods focus on the identification of soil heavy metals from different pollution sources. However, they are unsuited to the source apportionment at a regional scale due to ignoring the spatial heterogeneity of heavy metal content caused by soil formation. Thus, we built a source apportionment model by introducing the weathering and leaching coefficients as the key parameters of soil-forming processes. In this study, we selected Liaohe Plain in China as the study area, which was the starting point of China's industrial development, with dense industrial areas and high levels of heavy-metal emission. Heavy metals concentrations in surface and deep soil of reference and grid points were collected as model data. The results showed that the average contribution rates of soil-forming process to Cd, Hg, As, and Pb were 82.7%, 85.2%, 88.6%, and 91.7%, respectively, and those of anthropogenic activities were 17.3%, 14.8%, 11.4%, and 8.3%, respectively. Spatial distribution of contribution rates showed the superposition of soil environmental background and pollution sources. This study provides a feasible method to quantify heavy metals contents from natural and anthropogenic sources at a regional scale. [Display omitted] •Source apportionment was built for heavy metal of surface soil at regional scale.•Data contained heavy metals in surface and deep soil of reference and grid point.•Nature source content was estimated by weathering and leaching of reference point.•Anthropogenic content was calculated by regression coefficient and grid point value.
doi_str_mv 10.1016/j.jhazmat.2023.130910
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3153723477</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0304389423001929</els_id><sourcerecordid>2773114137</sourcerecordid><originalsourceid>FETCH-LOGICAL-c398t-bbdb99d49e4fa30f20c5d5a999b7e5c7b27b1e32b3e094b07e6b9bcfc063ce483</originalsourceid><addsrcrecordid>eNqFkTFv2zAUhImgQeMk_QkpOHaRQ_JRojkVRZC2AQx0aDITJPUU05BEl6QNOL--cux29fTe8N0dcEfIHWdzznhzv56vV_ZtsGUumIA5B6Y5uyAzvlBQAUDzgcwYMFnBQssrcp3zmjHGVS0_kitoFDSCixnpfsdt8kjtZhNTCXEccCw0dnSFdrenAxbbZxpGWlZIcww9teX9T_g60ban2dseqbMZWxrHd6bqYhrC-Eo3KXrMGfMtuewmI_x0ujfk5fvj88PPavnrx9PDt2XlQS9K5VzrtG6lRtlZYJ1gvm5rq7V2CmuvnFCOIwgHyLR0TGHjtPOdZw14lAu4IV-OvlPyny3mYoaQPfa9HTFuswFegxIglTqLionhXHI4oPUR9SnmnLAzmxQGm_aGM3NYw6zNaQ1zWMMc15h0n08RWzdg-1_1r_4J-HoEcOpkFzCZ7AOOHtuQ0BfTxnAm4i_HxZ8W</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2773114137</pqid></control><display><type>article</type><title>Source apportionment of heavy metals in the soil at the regional scale based on soil-forming processes</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Wu, Bo ; Li, Linlin ; Guo, Shuhai ; Li, Yang</creator><creatorcontrib>Wu, Bo ; Li, Linlin ; Guo, Shuhai ; Li, Yang</creatorcontrib><description>Source apportionment is crucial to the prevention and control of heavy metals in the soil. The major methods focus on the identification of soil heavy metals from different pollution sources. However, they are unsuited to the source apportionment at a regional scale due to ignoring the spatial heterogeneity of heavy metal content caused by soil formation. Thus, we built a source apportionment model by introducing the weathering and leaching coefficients as the key parameters of soil-forming processes. In this study, we selected Liaohe Plain in China as the study area, which was the starting point of China's industrial development, with dense industrial areas and high levels of heavy-metal emission. Heavy metals concentrations in surface and deep soil of reference and grid points were collected as model data. The results showed that the average contribution rates of soil-forming process to Cd, Hg, As, and Pb were 82.7%, 85.2%, 88.6%, and 91.7%, respectively, and those of anthropogenic activities were 17.3%, 14.8%, 11.4%, and 8.3%, respectively. Spatial distribution of contribution rates showed the superposition of soil environmental background and pollution sources. This study provides a feasible method to quantify heavy metals contents from natural and anthropogenic sources at a regional scale. [Display omitted] •Source apportionment was built for heavy metal of surface soil at regional scale.•Data contained heavy metals in surface and deep soil of reference and grid point.•Nature source content was estimated by weathering and leaching of reference point.•Anthropogenic content was calculated by regression coefficient and grid point value.</description><identifier>ISSN: 0304-3894</identifier><identifier>EISSN: 1873-3336</identifier><identifier>DOI: 10.1016/j.jhazmat.2023.130910</identifier><identifier>PMID: 36736212</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Anthropogenic emission ; China ; heavy metals ; industrialization ; Multiple regression ; pollution ; soil ; soil formation ; Soil weathering and leaching ; Spatial clustering ; spatial variation</subject><ispartof>Journal of hazardous materials, 2023-04, Vol.448, p.130910-130910, Article 130910</ispartof><rights>2023 Elsevier B.V.</rights><rights>Copyright © 2023 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c398t-bbdb99d49e4fa30f20c5d5a999b7e5c7b27b1e32b3e094b07e6b9bcfc063ce483</citedby><cites>FETCH-LOGICAL-c398t-bbdb99d49e4fa30f20c5d5a999b7e5c7b27b1e32b3e094b07e6b9bcfc063ce483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0304389423001929$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36736212$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Bo</creatorcontrib><creatorcontrib>Li, Linlin</creatorcontrib><creatorcontrib>Guo, Shuhai</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><title>Source apportionment of heavy metals in the soil at the regional scale based on soil-forming processes</title><title>Journal of hazardous materials</title><addtitle>J Hazard Mater</addtitle><description>Source apportionment is crucial to the prevention and control of heavy metals in the soil. The major methods focus on the identification of soil heavy metals from different pollution sources. However, they are unsuited to the source apportionment at a regional scale due to ignoring the spatial heterogeneity of heavy metal content caused by soil formation. Thus, we built a source apportionment model by introducing the weathering and leaching coefficients as the key parameters of soil-forming processes. In this study, we selected Liaohe Plain in China as the study area, which was the starting point of China's industrial development, with dense industrial areas and high levels of heavy-metal emission. Heavy metals concentrations in surface and deep soil of reference and grid points were collected as model data. The results showed that the average contribution rates of soil-forming process to Cd, Hg, As, and Pb were 82.7%, 85.2%, 88.6%, and 91.7%, respectively, and those of anthropogenic activities were 17.3%, 14.8%, 11.4%, and 8.3%, respectively. Spatial distribution of contribution rates showed the superposition of soil environmental background and pollution sources. This study provides a feasible method to quantify heavy metals contents from natural and anthropogenic sources at a regional scale. [Display omitted] •Source apportionment was built for heavy metal of surface soil at regional scale.•Data contained heavy metals in surface and deep soil of reference and grid point.•Nature source content was estimated by weathering and leaching of reference point.•Anthropogenic content was calculated by regression coefficient and grid point value.</description><subject>Anthropogenic emission</subject><subject>China</subject><subject>heavy metals</subject><subject>industrialization</subject><subject>Multiple regression</subject><subject>pollution</subject><subject>soil</subject><subject>soil formation</subject><subject>Soil weathering and leaching</subject><subject>Spatial clustering</subject><subject>spatial variation</subject><issn>0304-3894</issn><issn>1873-3336</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkTFv2zAUhImgQeMk_QkpOHaRQ_JRojkVRZC2AQx0aDITJPUU05BEl6QNOL--cux29fTe8N0dcEfIHWdzznhzv56vV_ZtsGUumIA5B6Y5uyAzvlBQAUDzgcwYMFnBQssrcp3zmjHGVS0_kitoFDSCixnpfsdt8kjtZhNTCXEccCw0dnSFdrenAxbbZxpGWlZIcww9teX9T_g60ban2dseqbMZWxrHd6bqYhrC-Eo3KXrMGfMtuewmI_x0ujfk5fvj88PPavnrx9PDt2XlQS9K5VzrtG6lRtlZYJ1gvm5rq7V2CmuvnFCOIwgHyLR0TGHjtPOdZw14lAu4IV-OvlPyny3mYoaQPfa9HTFuswFegxIglTqLionhXHI4oPUR9SnmnLAzmxQGm_aGM3NYw6zNaQ1zWMMc15h0n08RWzdg-1_1r_4J-HoEcOpkFzCZ7AOOHtuQ0BfTxnAm4i_HxZ8W</recordid><startdate>20230415</startdate><enddate>20230415</enddate><creator>Wu, Bo</creator><creator>Li, Linlin</creator><creator>Guo, Shuhai</creator><creator>Li, Yang</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20230415</creationdate><title>Source apportionment of heavy metals in the soil at the regional scale based on soil-forming processes</title><author>Wu, Bo ; Li, Linlin ; Guo, Shuhai ; Li, Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-bbdb99d49e4fa30f20c5d5a999b7e5c7b27b1e32b3e094b07e6b9bcfc063ce483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Anthropogenic emission</topic><topic>China</topic><topic>heavy metals</topic><topic>industrialization</topic><topic>Multiple regression</topic><topic>pollution</topic><topic>soil</topic><topic>soil formation</topic><topic>Soil weathering and leaching</topic><topic>Spatial clustering</topic><topic>spatial variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Bo</creatorcontrib><creatorcontrib>Li, Linlin</creatorcontrib><creatorcontrib>Guo, Shuhai</creatorcontrib><creatorcontrib>Li, Yang</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of hazardous materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Bo</au><au>Li, Linlin</au><au>Guo, Shuhai</au><au>Li, Yang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Source apportionment of heavy metals in the soil at the regional scale based on soil-forming processes</atitle><jtitle>Journal of hazardous materials</jtitle><addtitle>J Hazard Mater</addtitle><date>2023-04-15</date><risdate>2023</risdate><volume>448</volume><spage>130910</spage><epage>130910</epage><pages>130910-130910</pages><artnum>130910</artnum><issn>0304-3894</issn><eissn>1873-3336</eissn><abstract>Source apportionment is crucial to the prevention and control of heavy metals in the soil. The major methods focus on the identification of soil heavy metals from different pollution sources. However, they are unsuited to the source apportionment at a regional scale due to ignoring the spatial heterogeneity of heavy metal content caused by soil formation. Thus, we built a source apportionment model by introducing the weathering and leaching coefficients as the key parameters of soil-forming processes. In this study, we selected Liaohe Plain in China as the study area, which was the starting point of China's industrial development, with dense industrial areas and high levels of heavy-metal emission. Heavy metals concentrations in surface and deep soil of reference and grid points were collected as model data. The results showed that the average contribution rates of soil-forming process to Cd, Hg, As, and Pb were 82.7%, 85.2%, 88.6%, and 91.7%, respectively, and those of anthropogenic activities were 17.3%, 14.8%, 11.4%, and 8.3%, respectively. Spatial distribution of contribution rates showed the superposition of soil environmental background and pollution sources. This study provides a feasible method to quantify heavy metals contents from natural and anthropogenic sources at a regional scale. [Display omitted] •Source apportionment was built for heavy metal of surface soil at regional scale.•Data contained heavy metals in surface and deep soil of reference and grid point.•Nature source content was estimated by weathering and leaching of reference point.•Anthropogenic content was calculated by regression coefficient and grid point value.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>36736212</pmid><doi>10.1016/j.jhazmat.2023.130910</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0304-3894
ispartof Journal of hazardous materials, 2023-04, Vol.448, p.130910-130910, Article 130910
issn 0304-3894
1873-3336
language eng
recordid cdi_proquest_miscellaneous_3153723477
source Elsevier ScienceDirect Journals Complete
subjects Anthropogenic emission
China
heavy metals
industrialization
Multiple regression
pollution
soil
soil formation
Soil weathering and leaching
Spatial clustering
spatial variation
title Source apportionment of heavy metals in the soil at the regional scale based on soil-forming processes
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T00%3A07%3A51IST&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=Source%20apportionment%20of%20heavy%20metals%20in%20the%20soil%20at%20the%20regional%20scale%20based%20on%20soil-forming%20processes&rft.jtitle=Journal%20of%20hazardous%20materials&rft.au=Wu,%20Bo&rft.date=2023-04-15&rft.volume=448&rft.spage=130910&rft.epage=130910&rft.pages=130910-130910&rft.artnum=130910&rft.issn=0304-3894&rft.eissn=1873-3336&rft_id=info:doi/10.1016/j.jhazmat.2023.130910&rft_dat=%3Cproquest_cross%3E2773114137%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=2773114137&rft_id=info:pmid/36736212&rft_els_id=S0304389423001929&rfr_iscdi=true