Utilizing the electrical resistivity tomography to map contamination in a quarry
The diagnosis and monitoring of contaminated sites have become progressively critical. The effectiveness of electrical resistivity tomography (ERT) has been demonstrated in the assessment of contaminated sites, and its resolution can be significantly improved by array optimization. Gradient array in...
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Veröffentlicht in: | Environmental earth sciences 2024-07, Vol.83 (14), p.435-435, Article 435 |
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description | The diagnosis and monitoring of contaminated sites have become progressively critical. The effectiveness of electrical resistivity tomography (ERT) has been demonstrated in the assessment of contaminated sites, and its resolution can be significantly improved by array optimization. Gradient array involves the deployment of multiple electrodes in an array configuration to measure the variation in electrical potential across the subsurface, whereas there are some improved arrays which can often provide more accurate measurements. This study investigates the conventional gradient and improved Compare Resolution protocol to identify an abandoned quarry pit where pharmaceutical wastes were dumped. The acquired results were subsequently validated with borehole sampling. The results obtained from the gradient protocol revealed the presence of low-resistivity area. Nevertheless, it is difficult to define the range of the contamination plume area. The results from the optimized array illustrated that the maximum lateral contamination range in the vertical direction appears at a depth of 9 m. A portion of the contaminated area shown in the profile is confined by bedrock. Considering the high cost, only four locations are chosen for drilling to collect samples. The findings revealed that low resistivity corresponds to contamination of inorganic substances. The resistivity and drilling results further clarify that the site has a three-layer structure. The spatial variability of the contaminated site has been ascertained by the high-resolution ERT, and further identify four contaminant sources. This study proves the effectiveness of the ERT method to avoid the drawbacks of costly drilling in bedrock and accomplishes an efficient assessment of contamination. |
doi_str_mv | 10.1007/s12665-024-11744-6 |
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The effectiveness of electrical resistivity tomography (ERT) has been demonstrated in the assessment of contaminated sites, and its resolution can be significantly improved by array optimization. Gradient array involves the deployment of multiple electrodes in an array configuration to measure the variation in electrical potential across the subsurface, whereas there are some improved arrays which can often provide more accurate measurements. This study investigates the conventional gradient and improved Compare Resolution protocol to identify an abandoned quarry pit where pharmaceutical wastes were dumped. The acquired results were subsequently validated with borehole sampling. The results obtained from the gradient protocol revealed the presence of low-resistivity area. Nevertheless, it is difficult to define the range of the contamination plume area. The results from the optimized array illustrated that the maximum lateral contamination range in the vertical direction appears at a depth of 9 m. A portion of the contaminated area shown in the profile is confined by bedrock. Considering the high cost, only four locations are chosen for drilling to collect samples. The findings revealed that low resistivity corresponds to contamination of inorganic substances. The resistivity and drilling results further clarify that the site has a three-layer structure. The spatial variability of the contaminated site has been ascertained by the high-resolution ERT, and further identify four contaminant sources. This study proves the effectiveness of the ERT method to avoid the drawbacks of costly drilling in bedrock and accomplishes an efficient assessment of contamination.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-024-11744-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Arrays ; bedrock ; Biogeosciences ; Boreholes ; Contaminants ; Contamination ; Drilling ; Earth and Environmental Science ; Earth Sciences ; Effectiveness ; electrical resistance ; Electrical resistivity ; Environmental Science and Engineering ; Geochemistry ; Geology ; Hydrology/Water Resources ; Medical wastes ; Original Article ; Pharmaceutical industry wastes ; Quarries ; Spatial variability ; Spatial variations ; Terrestrial Pollution ; Tomography</subject><ispartof>Environmental earth sciences, 2024-07, Vol.83 (14), p.435-435, Article 435</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. 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><cites>FETCH-LOGICAL-a256t-4bff15a85ee0005be86f811d6762bc286b11446ec66b4dde3408913b3cacd2773</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/s12665-024-11744-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-024-11744-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Chao, Chen</creatorcontrib><creatorcontrib>Ma, Xinmin</creatorcontrib><creatorcontrib>Liu, Shiliang</creatorcontrib><creatorcontrib>Rahman, Khalil Ur</creatorcontrib><creatorcontrib>Mao, Deqiang</creatorcontrib><title>Utilizing the electrical resistivity tomography to map contamination in a quarry</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>The diagnosis and monitoring of contaminated sites have become progressively critical. The effectiveness of electrical resistivity tomography (ERT) has been demonstrated in the assessment of contaminated sites, and its resolution can be significantly improved by array optimization. Gradient array involves the deployment of multiple electrodes in an array configuration to measure the variation in electrical potential across the subsurface, whereas there are some improved arrays which can often provide more accurate measurements. This study investigates the conventional gradient and improved Compare Resolution protocol to identify an abandoned quarry pit where pharmaceutical wastes were dumped. The acquired results were subsequently validated with borehole sampling. The results obtained from the gradient protocol revealed the presence of low-resistivity area. Nevertheless, it is difficult to define the range of the contamination plume area. The results from the optimized array illustrated that the maximum lateral contamination range in the vertical direction appears at a depth of 9 m. A portion of the contaminated area shown in the profile is confined by bedrock. Considering the high cost, only four locations are chosen for drilling to collect samples. The findings revealed that low resistivity corresponds to contamination of inorganic substances. The resistivity and drilling results further clarify that the site has a three-layer structure. The spatial variability of the contaminated site has been ascertained by the high-resolution ERT, and further identify four contaminant sources. This study proves the effectiveness of the ERT method to avoid the drawbacks of costly drilling in bedrock and accomplishes an efficient assessment of contamination.</description><subject>Arrays</subject><subject>bedrock</subject><subject>Biogeosciences</subject><subject>Boreholes</subject><subject>Contaminants</subject><subject>Contamination</subject><subject>Drilling</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Effectiveness</subject><subject>electrical resistance</subject><subject>Electrical resistivity</subject><subject>Environmental Science and Engineering</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Hydrology/Water Resources</subject><subject>Medical wastes</subject><subject>Original Article</subject><subject>Pharmaceutical industry wastes</subject><subject>Quarries</subject><subject>Spatial variability</subject><subject>Spatial variations</subject><subject>Terrestrial Pollution</subject><subject>Tomography</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhosouKz7BzwFvHipJk06aY-y-AULenDPIU3T3Sxt2k1SYf31Zq0oeHAuM4fnfRmeJLkk-IZgzG89yQDyFGcsJYQzlsJJMiMFQApZWZ7-3AU-Txbe73AcSmiJYZa8roNpzYexGxS2GulWq-CMki1y2hsfzLsJBxT6rt84OWyPJ-rkgFRvg-yMlcH0FhmLJNqP0rnDRXLWyNbrxfeeJ-uH-7flU7p6eXxe3q1SmeUQUlY1DcllkWsdv8krXUBTEFIDh6xSWQEVIYyBVgAVq2tNGS5KQiuqpKozzuk8uZ56B9fvR-2D6IxXum2l1f3oBSU5BU5KoBG9-oPu-tHZ-J2gmPOcR39lpLKJUq733ulGDM500h0EweLoWUyeRfQsvjwLiCE6hXyE7Ua73-p_Up8i4oBB</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Li, Jing</creator><creator>Chao, Chen</creator><creator>Ma, Xinmin</creator><creator>Liu, Shiliang</creator><creator>Rahman, Khalil Ur</creator><creator>Mao, Deqiang</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240701</creationdate><title>Utilizing the electrical resistivity tomography to map contamination in a quarry</title><author>Li, Jing ; Chao, Chen ; Ma, Xinmin ; Liu, Shiliang ; Rahman, Khalil Ur ; Mao, Deqiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a256t-4bff15a85ee0005be86f811d6762bc286b11446ec66b4dde3408913b3cacd2773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Arrays</topic><topic>bedrock</topic><topic>Biogeosciences</topic><topic>Boreholes</topic><topic>Contaminants</topic><topic>Contamination</topic><topic>Drilling</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Effectiveness</topic><topic>electrical resistance</topic><topic>Electrical resistivity</topic><topic>Environmental Science and Engineering</topic><topic>Geochemistry</topic><topic>Geology</topic><topic>Hydrology/Water Resources</topic><topic>Medical wastes</topic><topic>Original Article</topic><topic>Pharmaceutical industry wastes</topic><topic>Quarries</topic><topic>Spatial variability</topic><topic>Spatial variations</topic><topic>Terrestrial Pollution</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Chao, Chen</creatorcontrib><creatorcontrib>Ma, Xinmin</creatorcontrib><creatorcontrib>Liu, Shiliang</creatorcontrib><creatorcontrib>Rahman, Khalil Ur</creatorcontrib><creatorcontrib>Mao, Deqiang</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jing</au><au>Chao, Chen</au><au>Ma, Xinmin</au><au>Liu, Shiliang</au><au>Rahman, Khalil Ur</au><au>Mao, Deqiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utilizing the electrical resistivity tomography to map contamination in a quarry</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2024-07-01</date><risdate>2024</risdate><volume>83</volume><issue>14</issue><spage>435</spage><epage>435</epage><pages>435-435</pages><artnum>435</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>The diagnosis and monitoring of contaminated sites have become progressively critical. The effectiveness of electrical resistivity tomography (ERT) has been demonstrated in the assessment of contaminated sites, and its resolution can be significantly improved by array optimization. Gradient array involves the deployment of multiple electrodes in an array configuration to measure the variation in electrical potential across the subsurface, whereas there are some improved arrays which can often provide more accurate measurements. This study investigates the conventional gradient and improved Compare Resolution protocol to identify an abandoned quarry pit where pharmaceutical wastes were dumped. The acquired results were subsequently validated with borehole sampling. The results obtained from the gradient protocol revealed the presence of low-resistivity area. Nevertheless, it is difficult to define the range of the contamination plume area. The results from the optimized array illustrated that the maximum lateral contamination range in the vertical direction appears at a depth of 9 m. A portion of the contaminated area shown in the profile is confined by bedrock. Considering the high cost, only four locations are chosen for drilling to collect samples. The findings revealed that low resistivity corresponds to contamination of inorganic substances. The resistivity and drilling results further clarify that the site has a three-layer structure. The spatial variability of the contaminated site has been ascertained by the high-resolution ERT, and further identify four contaminant sources. This study proves the effectiveness of the ERT method to avoid the drawbacks of costly drilling in bedrock and accomplishes an efficient assessment of contamination.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-024-11744-6</doi><tpages>1</tpages></addata></record> |
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subjects | Arrays bedrock Biogeosciences Boreholes Contaminants Contamination Drilling Earth and Environmental Science Earth Sciences Effectiveness electrical resistance Electrical resistivity Environmental Science and Engineering Geochemistry Geology Hydrology/Water Resources Medical wastes Original Article Pharmaceutical industry wastes Quarries Spatial variability Spatial variations Terrestrial Pollution Tomography |
title | Utilizing the electrical resistivity tomography to map contamination in a quarry |
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