Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station
Coal-fired power stations are significant sources of soil contamination with heavy metals and a source of hazard to human health. The soil samples ( n = 25) selected in the area around Novocherkassk Power Station (Rostov Region, Russia) within a radius of up to 20 km revealed the enrichment with Pb...
Gespeichert in:
| Veröffentlicht in: | Environmental geochemistry and health 2020-12, Vol.42 (12), p.4087-4100 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4100 |
|---|---|
| container_issue | 12 |
| container_start_page | 4087 |
| container_title | Environmental geochemistry and health |
| container_volume | 42 |
| creator | Linnik, Vitaly G. Minkina, Tatiana M. Bauer, Tatiana V. Saveliev, Anatoly A. Mandzhieva, Saglara S. |
| description | Coal-fired power stations are significant sources of soil contamination with heavy metals and a source of hazard to human health. The soil samples (
n
= 25) selected in the area around Novocherkassk Power Station (Rostov Region, Russia) within a radius of up to 20 km revealed the enrichment with Pb, Cu and Zn. The heavy metals (HM) content in soil is reduced in the following sequence: Mn > Cr > Zn > Ni > Cu > Pb > Co. The correlation diagrams of the HM total content in soils revealed a significant association between the following HM pairs: Cu–Pb, Ni–Cu, Cd–Ni, Cd–Cu (
r
≥ 0.7,
p
|
| doi_str_mv | 10.1007/s10653-019-00361-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2473374329</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2473374329</sourcerecordid><originalsourceid>FETCH-LOGICAL-a426t-32d88990bdde8ada1fc99659bfcd74d3e0854c6fed08cea378d105acdcc99bd43</originalsourceid><addsrcrecordid>eNp9kEtP3DAQxy1UBNuFL8ChstSz2_EjDx8rVKASUi9wtrz2BIKSeOtJWi2fHi9L2xunkeb_mNGPsQsJXyRA85Uk1JUWIK0A0LUUz0dsJatGC2Vb_YGtQNVWGDDqlH0kegIA25j2hJ1qqeqyhxXDa0zhEcc--IF7IiQacZq5nyKnrZ_7_Xryw4564qnjj-h_7_iIsx-Ib9MwLHOfJu5zWkoiJD-Irs8Yi_YHM6fZ7_UzdtyVAJ6_zTW7v_p-d3kjbn9e_7j8diu8UfUstIptay1sYsTWRy-7YG1d2U0XYmOiRmgrE-oOI7QBvW7aKKHyIYbi20Sj1-zzoXeb068FaXZPacnlfXLKNFo3Riv7rktVoLWUheuaqYMr5ESUsXPb3I8-75wEt-fvDvxd4e9e-bvnEvr0Vr1sRoz_In-BF4M-GKhI0wPm_7ffqX0BmtaSyw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2250331165</pqid></control><display><type>article</type><title>Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Linnik, Vitaly G. ; Minkina, Tatiana M. ; Bauer, Tatiana V. ; Saveliev, Anatoly A. ; Mandzhieva, Saglara S.</creator><creatorcontrib>Linnik, Vitaly G. ; Minkina, Tatiana M. ; Bauer, Tatiana V. ; Saveliev, Anatoly A. ; Mandzhieva, Saglara S.</creatorcontrib><description>Coal-fired power stations are significant sources of soil contamination with heavy metals and a source of hazard to human health. The soil samples (
n
= 25) selected in the area around Novocherkassk Power Station (Rostov Region, Russia) within a radius of up to 20 km revealed the enrichment with Pb, Cu and Zn. The heavy metals (HM) content in soil is reduced in the following sequence: Mn > Cr > Zn > Ni > Cu > Pb > Co. The correlation diagrams of the HM total content in soils revealed a significant association between the following HM pairs: Cu–Pb, Ni–Cu, Cd–Ni, Cd–Cu (
r
≥ 0.7,
p
< 0.001). The concentration coefficient (Kc) and the total pollution coefficient (Zc) were used to estimate anthropogenic pollution. The use of generalized additive model (GAM) to detect the dependence of HM distribution on factors revealed the significance of the source distance. The influence of wind rhumb on HM distribution has a complex nonlinear nature. A GAM shows a good performance for all data sets:
R
2
= 0.71, 81% deviance explained for Zn,
R
2
= 0.85, 91% deviance explained for Cd,
R
2
= 0.63, 70% deviance explained for Ni. Thus, GAM model reveals significant factors (Dist_km, rhumb) in forming pollution by heavy metals in studied impact zone and proved a valuable approach to assess the degree and sources of pollution in soils on a large scale.</description><identifier>ISSN: 0269-4042</identifier><identifier>EISSN: 1573-2983</identifier><identifier>DOI: 10.1007/s10653-019-00361-z</identifier><identifier>PMID: 31264040</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Additives ; Anthropogenic factors ; Cadmium ; Chromium ; Coal ; Coal - analysis ; Coal-fired power plants ; Contamination ; Copper ; Dependence ; Distribution ; Earth and Environmental Science ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring ; Geochemistry ; Health hazards ; Heavy metals ; Human influences ; Humans ; Lead ; Manganese ; Metals ; Metals, Heavy - analysis ; Nickel ; Original Paper ; Pollution ; Pollution sources ; Power Plants ; Public Health ; Risk Assessment ; Russia ; Soil ; Soil contamination ; Soil Pollutants - analysis ; Soil pollution ; Soil Science & Conservation ; Spatial Analysis ; Terrestrial Pollution ; Wind ; Wind effects ; Zinc</subject><ispartof>Environmental geochemistry and health, 2020-12, Vol.42 (12), p.4087-4100</ispartof><rights>Springer Nature B.V. 2019</rights><rights>Environmental Geochemistry and Health is a copyright of Springer, (2019). All Rights Reserved.</rights><rights>Springer Nature B.V. 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a426t-32d88990bdde8ada1fc99659bfcd74d3e0854c6fed08cea378d105acdcc99bd43</citedby><cites>FETCH-LOGICAL-a426t-32d88990bdde8ada1fc99659bfcd74d3e0854c6fed08cea378d105acdcc99bd43</cites><orcidid>0000-0001-6000-2209</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10653-019-00361-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10653-019-00361-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31264040$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Linnik, Vitaly G.</creatorcontrib><creatorcontrib>Minkina, Tatiana M.</creatorcontrib><creatorcontrib>Bauer, Tatiana V.</creatorcontrib><creatorcontrib>Saveliev, Anatoly A.</creatorcontrib><creatorcontrib>Mandzhieva, Saglara S.</creatorcontrib><title>Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station</title><title>Environmental geochemistry and health</title><addtitle>Environ Geochem Health</addtitle><addtitle>Environ Geochem Health</addtitle><description>Coal-fired power stations are significant sources of soil contamination with heavy metals and a source of hazard to human health. The soil samples (
n
= 25) selected in the area around Novocherkassk Power Station (Rostov Region, Russia) within a radius of up to 20 km revealed the enrichment with Pb, Cu and Zn. The heavy metals (HM) content in soil is reduced in the following sequence: Mn > Cr > Zn > Ni > Cu > Pb > Co. The correlation diagrams of the HM total content in soils revealed a significant association between the following HM pairs: Cu–Pb, Ni–Cu, Cd–Ni, Cd–Cu (
r
≥ 0.7,
p
< 0.001). The concentration coefficient (Kc) and the total pollution coefficient (Zc) were used to estimate anthropogenic pollution. The use of generalized additive model (GAM) to detect the dependence of HM distribution on factors revealed the significance of the source distance. The influence of wind rhumb on HM distribution has a complex nonlinear nature. A GAM shows a good performance for all data sets:
R
2
= 0.71, 81% deviance explained for Zn,
R
2
= 0.85, 91% deviance explained for Cd,
R
2
= 0.63, 70% deviance explained for Ni. Thus, GAM model reveals significant factors (Dist_km, rhumb) in forming pollution by heavy metals in studied impact zone and proved a valuable approach to assess the degree and sources of pollution in soils on a large scale.</description><subject>Additives</subject><subject>Anthropogenic factors</subject><subject>Cadmium</subject><subject>Chromium</subject><subject>Coal</subject><subject>Coal - analysis</subject><subject>Coal-fired power plants</subject><subject>Contamination</subject><subject>Copper</subject><subject>Dependence</subject><subject>Distribution</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Monitoring</subject><subject>Geochemistry</subject><subject>Health hazards</subject><subject>Heavy metals</subject><subject>Human influences</subject><subject>Humans</subject><subject>Lead</subject><subject>Manganese</subject><subject>Metals</subject><subject>Metals, Heavy - analysis</subject><subject>Nickel</subject><subject>Original Paper</subject><subject>Pollution</subject><subject>Pollution sources</subject><subject>Power Plants</subject><subject>Public Health</subject><subject>Risk Assessment</subject><subject>Russia</subject><subject>Soil</subject><subject>Soil contamination</subject><subject>Soil Pollutants - analysis</subject><subject>Soil pollution</subject><subject>Soil Science & Conservation</subject><subject>Spatial Analysis</subject><subject>Terrestrial Pollution</subject><subject>Wind</subject><subject>Wind effects</subject><subject>Zinc</subject><issn>0269-4042</issn><issn>1573-2983</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtP3DAQxy1UBNuFL8ChstSz2_EjDx8rVKASUi9wtrz2BIKSeOtJWi2fHi9L2xunkeb_mNGPsQsJXyRA85Uk1JUWIK0A0LUUz0dsJatGC2Vb_YGtQNVWGDDqlH0kegIA25j2hJ1qqeqyhxXDa0zhEcc--IF7IiQacZq5nyKnrZ_7_Xryw4564qnjj-h_7_iIsx-Ib9MwLHOfJu5zWkoiJD-Irs8Yi_YHM6fZ7_UzdtyVAJ6_zTW7v_p-d3kjbn9e_7j8diu8UfUstIptay1sYsTWRy-7YG1d2U0XYmOiRmgrE-oOI7QBvW7aKKHyIYbi20Sj1-zzoXeb068FaXZPacnlfXLKNFo3Riv7rktVoLWUheuaqYMr5ESUsXPb3I8-75wEt-fvDvxd4e9e-bvnEvr0Vr1sRoz_In-BF4M-GKhI0wPm_7ffqX0BmtaSyw</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Linnik, Vitaly G.</creator><creator>Minkina, Tatiana M.</creator><creator>Bauer, Tatiana V.</creator><creator>Saveliev, Anatoly A.</creator><creator>Mandzhieva, Saglara S.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</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>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-6000-2209</orcidid></search><sort><creationdate>20201201</creationdate><title>Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station</title><author>Linnik, Vitaly G. ; Minkina, Tatiana M. ; Bauer, Tatiana V. ; Saveliev, Anatoly A. ; Mandzhieva, Saglara S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a426t-32d88990bdde8ada1fc99659bfcd74d3e0854c6fed08cea378d105acdcc99bd43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Additives</topic><topic>Anthropogenic factors</topic><topic>Cadmium</topic><topic>Chromium</topic><topic>Coal</topic><topic>Coal - analysis</topic><topic>Coal-fired power plants</topic><topic>Contamination</topic><topic>Copper</topic><topic>Dependence</topic><topic>Distribution</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental Monitoring</topic><topic>Geochemistry</topic><topic>Health hazards</topic><topic>Heavy metals</topic><topic>Human influences</topic><topic>Humans</topic><topic>Lead</topic><topic>Manganese</topic><topic>Metals</topic><topic>Metals, Heavy - analysis</topic><topic>Nickel</topic><topic>Original Paper</topic><topic>Pollution</topic><topic>Pollution sources</topic><topic>Power Plants</topic><topic>Public Health</topic><topic>Risk Assessment</topic><topic>Russia</topic><topic>Soil</topic><topic>Soil contamination</topic><topic>Soil Pollutants - analysis</topic><topic>Soil pollution</topic><topic>Soil Science & Conservation</topic><topic>Spatial Analysis</topic><topic>Terrestrial Pollution</topic><topic>Wind</topic><topic>Wind effects</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Linnik, Vitaly G.</creatorcontrib><creatorcontrib>Minkina, Tatiana M.</creatorcontrib><creatorcontrib>Bauer, Tatiana V.</creatorcontrib><creatorcontrib>Saveliev, Anatoly A.</creatorcontrib><creatorcontrib>Mandzhieva, Saglara S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</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>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science 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><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental geochemistry and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Linnik, Vitaly G.</au><au>Minkina, Tatiana M.</au><au>Bauer, Tatiana V.</au><au>Saveliev, Anatoly A.</au><au>Mandzhieva, Saglara S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station</atitle><jtitle>Environmental geochemistry and health</jtitle><stitle>Environ Geochem Health</stitle><addtitle>Environ Geochem Health</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>42</volume><issue>12</issue><spage>4087</spage><epage>4100</epage><pages>4087-4100</pages><issn>0269-4042</issn><eissn>1573-2983</eissn><abstract>Coal-fired power stations are significant sources of soil contamination with heavy metals and a source of hazard to human health. The soil samples (
n
= 25) selected in the area around Novocherkassk Power Station (Rostov Region, Russia) within a radius of up to 20 km revealed the enrichment with Pb, Cu and Zn. The heavy metals (HM) content in soil is reduced in the following sequence: Mn > Cr > Zn > Ni > Cu > Pb > Co. The correlation diagrams of the HM total content in soils revealed a significant association between the following HM pairs: Cu–Pb, Ni–Cu, Cd–Ni, Cd–Cu (
r
≥ 0.7,
p
< 0.001). The concentration coefficient (Kc) and the total pollution coefficient (Zc) were used to estimate anthropogenic pollution. The use of generalized additive model (GAM) to detect the dependence of HM distribution on factors revealed the significance of the source distance. The influence of wind rhumb on HM distribution has a complex nonlinear nature. A GAM shows a good performance for all data sets:
R
2
= 0.71, 81% deviance explained for Zn,
R
2
= 0.85, 91% deviance explained for Cd,
R
2
= 0.63, 70% deviance explained for Ni. Thus, GAM model reveals significant factors (Dist_km, rhumb) in forming pollution by heavy metals in studied impact zone and proved a valuable approach to assess the degree and sources of pollution in soils on a large scale.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>31264040</pmid><doi>10.1007/s10653-019-00361-z</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-6000-2209</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0269-4042 |
| ispartof | Environmental geochemistry and health, 2020-12, Vol.42 (12), p.4087-4100 |
| issn | 0269-4042 1573-2983 |
| language | eng |
| recordid | cdi_proquest_journals_2473374329 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Additives Anthropogenic factors Cadmium Chromium Coal Coal - analysis Coal-fired power plants Contamination Copper Dependence Distribution Earth and Environmental Science Environment Environmental Chemistry Environmental Health Environmental Monitoring Geochemistry Health hazards Heavy metals Human influences Humans Lead Manganese Metals Metals, Heavy - analysis Nickel Original Paper Pollution Pollution sources Power Plants Public Health Risk Assessment Russia Soil Soil contamination Soil Pollutants - analysis Soil pollution Soil Science & Conservation Spatial Analysis Terrestrial Pollution Wind Wind effects Zinc |
| title | Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T06%3A49%3A58IST&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=Geochemical%20assessment%20and%20spatial%20analysis%20of%20heavy%20metals%20pollution%20around%20coal-fired%20power%20station&rft.jtitle=Environmental%20geochemistry%20and%20health&rft.au=Linnik,%20Vitaly%20G.&rft.date=2020-12-01&rft.volume=42&rft.issue=12&rft.spage=4087&rft.epage=4100&rft.pages=4087-4100&rft.issn=0269-4042&rft.eissn=1573-2983&rft_id=info:doi/10.1007/s10653-019-00361-z&rft_dat=%3Cproquest_cross%3E2473374329%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=2250331165&rft_id=info:pmid/31264040&rfr_iscdi=true |