Integrated geochemical and magnetic potentially toxic elements assessment: a statistical solution discriminating anthropogenic and lithogenic magnetic signals in a complex area of the southeast Nile Delta
Magnetic proxy approaches proved to be efficient for potentially toxic elements (PTEs) pollution assessment when targeting forests or areas with a homogenous background where anthropogenic magnetic signals could be easily distinguished. Here, we present a multidisciplinary approach for magnetic susc...
Gespeichert in:
Veröffentlicht in: | Environmental monitoring and assessment 2024-03, Vol.196 (3), p.272-272, Article 272 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 272 |
---|---|
container_issue | 3 |
container_start_page | 272 |
container_title | Environmental monitoring and assessment |
container_volume | 196 |
creator | Guda, Alshymaa Mohammad El Kammar, Ahmed Mohamed Abu Salem, Hend Saeed Abu Khatita, Atef Mohammady Mohamed, Mohamed Abdelwahed El-Hemaly, Ibrahim Aly Abd Elaal, Esmat Mohamed Odah, Hatem Hamdy Appel, Erwin |
description | Magnetic proxy approaches proved to be efficient for potentially toxic elements (PTEs) pollution assessment when targeting forests or areas with a homogenous background where anthropogenic magnetic signals could be easily distinguished. Here, we present a multidisciplinary approach for magnetic susceptibility (
x
) and HM assessment in a complex area in the Nile Delta, where geogenic input, land use, and various industries with different fly ash and surface water emissions interfere. Statistical analysis discriminates between the effects of lithologic elements and the concentrations of toxic anthropogenic elements. The studied elements are classified into lithogenic and anthropogenic-related (HMs, Au industry, and fertilizers industry) groups with maximum contamination levels of eight anthropogenic-related and highly toxic PTEs (Cu, Zn, Mo, Cd, Sb, Pb, Hg, and As) in the Akrasha industrial area (pollution load index = 15.84). Considering the whole data set, the numerical correlation of
x
with most PTE concentrations and the pollution load index (PLI) is weak, while it is moderate to strong with lithogenic elements. However, a comparison of lithogenic elements and PTE concentrations along with
x-
values in two separate clusters supports the correspondence of lithology with elevated
x
-values in silt and clay-rich soil samples as well as HM concentration in industrial sandy soils. Correspondence between magnetic maps and chemistry data with land use reflects the potential of magnetic proxy methods for qualitative PTE pollution pre-delineation of the polluted spots, provided that lithological conditions are carefully considered. |
doi_str_mv | 10.1007/s10661-024-12408-5 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10873446</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2927739719</sourcerecordid><originalsourceid>FETCH-LOGICAL-c426t-3fc8ac4cf957f08f5b975d00e06609f17e69eae1cb343b2b31d4c106f09618513</originalsourceid><addsrcrecordid>eNp9ksuOFSEQhjtG4xxHX8CFIXHjphUaGho3ZjLeJpnoRteEQ1d3M6GhBdrMvKMPJefi8bJwBVT99RVV-avqKcEvCcbiVSKYc1LjhtWkYbir23vVhrSC1o1s5f1qgwkXNadcnlWPUrrBGEvB5MPqjHaUU9bQTfXjymcYo87QoxGCmWC2RjukfY9mPXrI1qAlZPDZaufuUA63JQIO5hJKSKcEKe3ur5FGKetsU94TUnBrtsGj3iYT7Wx9yfmxkPMUwxJG8AW06-Nsno7PU8tkR69dQtYXrAnz4uAW6QgahQHlCQp-LYdOGX2yDtBbcFk_rh4MpQieHM_z6uv7d18uP9bXnz9cXV5c14Y1PNd0MJ02zAyyFQPuhnYrRdtjDGWdWA5EAJeggZgtZXTbbCnpmSm7HrDkpGsJPa_eHLjLup2hN2X6qJ1aypQ63qmgrfo74-2kxvBdEdwJyhgvhBdHQgzfVkhZzWVL4Jz2ENakGtl0DROcyCJ9_o_0Jqxxt5ydSggqxV7VHFQmhpQiDKffEKx2blEHt6jiFrV3i2pL0bM_5ziV_LJHEdCDIJWUHyH-7v0f7E-5kNFz</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2927739719</pqid></control><display><type>article</type><title>Integrated geochemical and magnetic potentially toxic elements assessment: a statistical solution discriminating anthropogenic and lithogenic magnetic signals in a complex area of the southeast Nile Delta</title><source>SpringerLink Journals - AutoHoldings</source><creator>Guda, Alshymaa Mohammad ; El Kammar, Ahmed Mohamed ; Abu Salem, Hend Saeed ; Abu Khatita, Atef Mohammady ; Mohamed, Mohamed Abdelwahed ; El-Hemaly, Ibrahim Aly ; Abd Elaal, Esmat Mohamed ; Odah, Hatem Hamdy ; Appel, Erwin</creator><creatorcontrib>Guda, Alshymaa Mohammad ; El Kammar, Ahmed Mohamed ; Abu Salem, Hend Saeed ; Abu Khatita, Atef Mohammady ; Mohamed, Mohamed Abdelwahed ; El-Hemaly, Ibrahim Aly ; Abd Elaal, Esmat Mohamed ; Odah, Hatem Hamdy ; Appel, Erwin</creatorcontrib><description>Magnetic proxy approaches proved to be efficient for potentially toxic elements (PTEs) pollution assessment when targeting forests or areas with a homogenous background where anthropogenic magnetic signals could be easily distinguished. Here, we present a multidisciplinary approach for magnetic susceptibility (
x
) and HM assessment in a complex area in the Nile Delta, where geogenic input, land use, and various industries with different fly ash and surface water emissions interfere. Statistical analysis discriminates between the effects of lithologic elements and the concentrations of toxic anthropogenic elements. The studied elements are classified into lithogenic and anthropogenic-related (HMs, Au industry, and fertilizers industry) groups with maximum contamination levels of eight anthropogenic-related and highly toxic PTEs (Cu, Zn, Mo, Cd, Sb, Pb, Hg, and As) in the Akrasha industrial area (pollution load index = 15.84). Considering the whole data set, the numerical correlation of
x
with most PTE concentrations and the pollution load index (PLI) is weak, while it is moderate to strong with lithogenic elements. However, a comparison of lithogenic elements and PTE concentrations along with
x-
values in two separate clusters supports the correspondence of lithology with elevated
x
-values in silt and clay-rich soil samples as well as HM concentration in industrial sandy soils. Correspondence between magnetic maps and chemistry data with land use reflects the potential of magnetic proxy methods for qualitative PTE pollution pre-delineation of the polluted spots, provided that lithological conditions are carefully considered.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-024-12408-5</identifier><identifier>PMID: 38363423</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Anthropogenic factors ; Atmospheric Protection/Air Quality Control/Air Pollution ; Clay soils ; Contamination ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Elements ; Environment ; Environmental assessment ; Environmental Management ; Fertilizers ; Fly ash ; Industrial areas ; Industrial pollution ; Land use ; Lead ; Lithology ; Magnetic permeability ; Magnetic signals ; Magnetic susceptibility ; Mercury ; Mercury (metal) ; Monitoring/Environmental Analysis ; Pollutant load ; Pollution ; Pollution index ; Pollution load ; Sandy soils ; Soil contamination ; Statistical analysis ; Statistical methods ; Statistics ; Surface water ; Zinc</subject><ispartof>Environmental monitoring and assessment, 2024-03, Vol.196 (3), p.272-272, Article 272</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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><cites>FETCH-LOGICAL-c426t-3fc8ac4cf957f08f5b975d00e06609f17e69eae1cb343b2b31d4c106f09618513</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/s10661-024-12408-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-024-12408-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38363423$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guda, Alshymaa Mohammad</creatorcontrib><creatorcontrib>El Kammar, Ahmed Mohamed</creatorcontrib><creatorcontrib>Abu Salem, Hend Saeed</creatorcontrib><creatorcontrib>Abu Khatita, Atef Mohammady</creatorcontrib><creatorcontrib>Mohamed, Mohamed Abdelwahed</creatorcontrib><creatorcontrib>El-Hemaly, Ibrahim Aly</creatorcontrib><creatorcontrib>Abd Elaal, Esmat Mohamed</creatorcontrib><creatorcontrib>Odah, Hatem Hamdy</creatorcontrib><creatorcontrib>Appel, Erwin</creatorcontrib><title>Integrated geochemical and magnetic potentially toxic elements assessment: a statistical solution discriminating anthropogenic and lithogenic magnetic signals in a complex area of the southeast Nile Delta</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Magnetic proxy approaches proved to be efficient for potentially toxic elements (PTEs) pollution assessment when targeting forests or areas with a homogenous background where anthropogenic magnetic signals could be easily distinguished. Here, we present a multidisciplinary approach for magnetic susceptibility (
x
) and HM assessment in a complex area in the Nile Delta, where geogenic input, land use, and various industries with different fly ash and surface water emissions interfere. Statistical analysis discriminates between the effects of lithologic elements and the concentrations of toxic anthropogenic elements. The studied elements are classified into lithogenic and anthropogenic-related (HMs, Au industry, and fertilizers industry) groups with maximum contamination levels of eight anthropogenic-related and highly toxic PTEs (Cu, Zn, Mo, Cd, Sb, Pb, Hg, and As) in the Akrasha industrial area (pollution load index = 15.84). Considering the whole data set, the numerical correlation of
x
with most PTE concentrations and the pollution load index (PLI) is weak, while it is moderate to strong with lithogenic elements. However, a comparison of lithogenic elements and PTE concentrations along with
x-
values in two separate clusters supports the correspondence of lithology with elevated
x
-values in silt and clay-rich soil samples as well as HM concentration in industrial sandy soils. Correspondence between magnetic maps and chemistry data with land use reflects the potential of magnetic proxy methods for qualitative PTE pollution pre-delineation of the polluted spots, provided that lithological conditions are carefully considered.</description><subject>Anthropogenic factors</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Clay soils</subject><subject>Contamination</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Elements</subject><subject>Environment</subject><subject>Environmental assessment</subject><subject>Environmental Management</subject><subject>Fertilizers</subject><subject>Fly ash</subject><subject>Industrial areas</subject><subject>Industrial pollution</subject><subject>Land use</subject><subject>Lead</subject><subject>Lithology</subject><subject>Magnetic permeability</subject><subject>Magnetic signals</subject><subject>Magnetic susceptibility</subject><subject>Mercury</subject><subject>Mercury (metal)</subject><subject>Monitoring/Environmental Analysis</subject><subject>Pollutant load</subject><subject>Pollution</subject><subject>Pollution index</subject><subject>Pollution load</subject><subject>Sandy soils</subject><subject>Soil contamination</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Surface water</subject><subject>Zinc</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9ksuOFSEQhjtG4xxHX8CFIXHjphUaGho3ZjLeJpnoRteEQ1d3M6GhBdrMvKMPJefi8bJwBVT99RVV-avqKcEvCcbiVSKYc1LjhtWkYbir23vVhrSC1o1s5f1qgwkXNadcnlWPUrrBGEvB5MPqjHaUU9bQTfXjymcYo87QoxGCmWC2RjukfY9mPXrI1qAlZPDZaufuUA63JQIO5hJKSKcEKe3ur5FGKetsU94TUnBrtsGj3iYT7Wx9yfmxkPMUwxJG8AW06-Nsno7PU8tkR69dQtYXrAnz4uAW6QgahQHlCQp-LYdOGX2yDtBbcFk_rh4MpQieHM_z6uv7d18uP9bXnz9cXV5c14Y1PNd0MJ02zAyyFQPuhnYrRdtjDGWdWA5EAJeggZgtZXTbbCnpmSm7HrDkpGsJPa_eHLjLup2hN2X6qJ1aypQ63qmgrfo74-2kxvBdEdwJyhgvhBdHQgzfVkhZzWVL4Jz2ENakGtl0DROcyCJ9_o_0Jqxxt5ydSggqxV7VHFQmhpQiDKffEKx2blEHt6jiFrV3i2pL0bM_5ziV_LJHEdCDIJWUHyH-7v0f7E-5kNFz</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Guda, Alshymaa Mohammad</creator><creator>El Kammar, Ahmed Mohamed</creator><creator>Abu Salem, Hend Saeed</creator><creator>Abu Khatita, Atef Mohammady</creator><creator>Mohamed, Mohamed Abdelwahed</creator><creator>El-Hemaly, Ibrahim Aly</creator><creator>Abd Elaal, Esmat Mohamed</creator><creator>Odah, Hatem Hamdy</creator><creator>Appel, Erwin</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</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>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>K9.</scope><scope>KL.</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240301</creationdate><title>Integrated geochemical and magnetic potentially toxic elements assessment: a statistical solution discriminating anthropogenic and lithogenic magnetic signals in a complex area of the southeast Nile Delta</title><author>Guda, Alshymaa Mohammad ; El Kammar, Ahmed Mohamed ; Abu Salem, Hend Saeed ; Abu Khatita, Atef Mohammady ; Mohamed, Mohamed Abdelwahed ; El-Hemaly, Ibrahim Aly ; Abd Elaal, Esmat Mohamed ; Odah, Hatem Hamdy ; Appel, Erwin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-3fc8ac4cf957f08f5b975d00e06609f17e69eae1cb343b2b31d4c106f09618513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Anthropogenic factors</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Clay soils</topic><topic>Contamination</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Ecotoxicology</topic><topic>Elements</topic><topic>Environment</topic><topic>Environmental assessment</topic><topic>Environmental Management</topic><topic>Fertilizers</topic><topic>Fly ash</topic><topic>Industrial areas</topic><topic>Industrial pollution</topic><topic>Land use</topic><topic>Lead</topic><topic>Lithology</topic><topic>Magnetic permeability</topic><topic>Magnetic signals</topic><topic>Magnetic susceptibility</topic><topic>Mercury</topic><topic>Mercury (metal)</topic><topic>Monitoring/Environmental Analysis</topic><topic>Pollutant load</topic><topic>Pollution</topic><topic>Pollution index</topic><topic>Pollution load</topic><topic>Sandy soils</topic><topic>Soil contamination</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Surface water</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guda, Alshymaa Mohammad</creatorcontrib><creatorcontrib>El Kammar, Ahmed Mohamed</creatorcontrib><creatorcontrib>Abu Salem, Hend Saeed</creatorcontrib><creatorcontrib>Abu Khatita, Atef Mohammady</creatorcontrib><creatorcontrib>Mohamed, Mohamed Abdelwahed</creatorcontrib><creatorcontrib>El-Hemaly, Ibrahim Aly</creatorcontrib><creatorcontrib>Abd Elaal, Esmat Mohamed</creatorcontrib><creatorcontrib>Odah, Hatem Hamdy</creatorcontrib><creatorcontrib>Appel, Erwin</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guda, Alshymaa Mohammad</au><au>El Kammar, Ahmed Mohamed</au><au>Abu Salem, Hend Saeed</au><au>Abu Khatita, Atef Mohammady</au><au>Mohamed, Mohamed Abdelwahed</au><au>El-Hemaly, Ibrahim Aly</au><au>Abd Elaal, Esmat Mohamed</au><au>Odah, Hatem Hamdy</au><au>Appel, Erwin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated geochemical and magnetic potentially toxic elements assessment: a statistical solution discriminating anthropogenic and lithogenic magnetic signals in a complex area of the southeast Nile Delta</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2024-03-01</date><risdate>2024</risdate><volume>196</volume><issue>3</issue><spage>272</spage><epage>272</epage><pages>272-272</pages><artnum>272</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Magnetic proxy approaches proved to be efficient for potentially toxic elements (PTEs) pollution assessment when targeting forests or areas with a homogenous background where anthropogenic magnetic signals could be easily distinguished. Here, we present a multidisciplinary approach for magnetic susceptibility (
x
) and HM assessment in a complex area in the Nile Delta, where geogenic input, land use, and various industries with different fly ash and surface water emissions interfere. Statistical analysis discriminates between the effects of lithologic elements and the concentrations of toxic anthropogenic elements. The studied elements are classified into lithogenic and anthropogenic-related (HMs, Au industry, and fertilizers industry) groups with maximum contamination levels of eight anthropogenic-related and highly toxic PTEs (Cu, Zn, Mo, Cd, Sb, Pb, Hg, and As) in the Akrasha industrial area (pollution load index = 15.84). Considering the whole data set, the numerical correlation of
x
with most PTE concentrations and the pollution load index (PLI) is weak, while it is moderate to strong with lithogenic elements. However, a comparison of lithogenic elements and PTE concentrations along with
x-
values in two separate clusters supports the correspondence of lithology with elevated
x
-values in silt and clay-rich soil samples as well as HM concentration in industrial sandy soils. Correspondence between magnetic maps and chemistry data with land use reflects the potential of magnetic proxy methods for qualitative PTE pollution pre-delineation of the polluted spots, provided that lithological conditions are carefully considered.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>38363423</pmid><doi>10.1007/s10661-024-12408-5</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0167-6369 |
ispartof | Environmental monitoring and assessment, 2024-03, Vol.196 (3), p.272-272, Article 272 |
issn | 0167-6369 1573-2959 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10873446 |
source | SpringerLink Journals - AutoHoldings |
subjects | Anthropogenic factors Atmospheric Protection/Air Quality Control/Air Pollution Clay soils Contamination Earth and Environmental Science Ecology Ecotoxicology Elements Environment Environmental assessment Environmental Management Fertilizers Fly ash Industrial areas Industrial pollution Land use Lead Lithology Magnetic permeability Magnetic signals Magnetic susceptibility Mercury Mercury (metal) Monitoring/Environmental Analysis Pollutant load Pollution Pollution index Pollution load Sandy soils Soil contamination Statistical analysis Statistical methods Statistics Surface water Zinc |
title | Integrated geochemical and magnetic potentially toxic elements assessment: a statistical solution discriminating anthropogenic and lithogenic magnetic signals in a complex area of the southeast Nile Delta |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T12%3A49%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrated%20geochemical%20and%20magnetic%20potentially%20toxic%20elements%20assessment:%20a%20statistical%20solution%20discriminating%20anthropogenic%20and%20lithogenic%20magnetic%20signals%20in%20a%20complex%20area%20of%20the%20southeast%20Nile%20Delta&rft.jtitle=Environmental%20monitoring%20and%20assessment&rft.au=Guda,%20Alshymaa%20Mohammad&rft.date=2024-03-01&rft.volume=196&rft.issue=3&rft.spage=272&rft.epage=272&rft.pages=272-272&rft.artnum=272&rft.issn=0167-6369&rft.eissn=1573-2959&rft_id=info:doi/10.1007/s10661-024-12408-5&rft_dat=%3Cproquest_pubme%3E2927739719%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2927739719&rft_id=info:pmid/38363423&rfr_iscdi=true |