Categorization of nearshore sampling data using oil slick trajectory predictions
Oil Spill Chemicals (OSCs) represent a risk to the environment and human health, especially in nearshore environments used for recreational purposes. Importantly, the starting point for human health risk assessment is to define the concentration of OSCs at nearshore locations. The objective of this...
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Veröffentlicht in: | Marine pollution bulletin 2020-01, Vol.150, p.110577-110577, Article 110577 |
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creator | Montas, Larissa Ferguson, Alesia C. Mena, Kristina D. Solo-Gabriele, Helena M. |
description | Oil Spill Chemicals (OSCs) represent a risk to the environment and human health, especially in nearshore environments used for recreational purposes. Importantly, the starting point for human health risk assessment is to define the concentration of OSCs at nearshore locations. The objective of this study was to evaluate nearshore sampling data of OSC concentrations in different environmental matrices within time-space specific categories. The categories correspond to OSC concentration values for samples collected prior to nearshore oiling, post nearshore oiling and at no time impacted by oil as predicted by historic oil spill trajectories generated by an Oil Spill Trajectory Model. In general, concentration values for the post category were higher than prior which were higher than unimpacted. Results show differences in PAH concentration patterns within each matrix and for each category. Concentration frequency distributions for most chemicals in each category were log-normally distributed.
[Display omitted]
•Toxic Oil Spill Chemicals (OSCs) represent a risk to human health.•OSC distributions were categorized in a spatial and temporal context.•Two spatial-temporal categories had statistically higher mean concentrations.•Results show differences in concentration patterns for each category.•Concentration frequency distributions for most OSCs were log-normally distributed. |
doi_str_mv | 10.1016/j.marpolbul.2019.110577 |
format | Article |
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[Display omitted]
•Toxic Oil Spill Chemicals (OSCs) represent a risk to human health.•OSC distributions were categorized in a spatial and temporal context.•Two spatial-temporal categories had statistically higher mean concentrations.•Results show differences in concentration patterns for each category.•Concentration frequency distributions for most OSCs were log-normally distributed.</description><identifier>ISSN: 0025-326X</identifier><identifier>EISSN: 1879-3363</identifier><identifier>DOI: 10.1016/j.marpolbul.2019.110577</identifier><identifier>PMID: 31910512</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Chemical distributions ; Chemicals ; Environmental Monitoring ; Health risk assessment ; Health risks ; Human health ; Humans ; Marine oil spills ; Oil slicks ; Oil spills ; Organic chemistry ; PAHs ; Petroleum ; Petroleum Pollution - statistics & numerical data ; Polycyclic aromatic hydrocarbons ; Predictions ; Risk assessment ; Sampling ; Water Pollutants, Chemical ; Water Pollution, Chemical - statistics & numerical data</subject><ispartof>Marine pollution bulletin, 2020-01, Vol.150, p.110577-110577, Article 110577</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier BV Jan 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-ac7554ce367d5b2648c179b567dbc760acf41c7904aeeb5ee99c04163efff5553</citedby><cites>FETCH-LOGICAL-c399t-ac7554ce367d5b2648c179b567dbc760acf41c7904aeeb5ee99c04163efff5553</cites><orcidid>0000-0003-3390-3823</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0025326X19307258$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31910512$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Montas, Larissa</creatorcontrib><creatorcontrib>Ferguson, Alesia C.</creatorcontrib><creatorcontrib>Mena, Kristina D.</creatorcontrib><creatorcontrib>Solo-Gabriele, Helena M.</creatorcontrib><title>Categorization of nearshore sampling data using oil slick trajectory predictions</title><title>Marine pollution bulletin</title><addtitle>Mar Pollut Bull</addtitle><description>Oil Spill Chemicals (OSCs) represent a risk to the environment and human health, especially in nearshore environments used for recreational purposes. Importantly, the starting point for human health risk assessment is to define the concentration of OSCs at nearshore locations. The objective of this study was to evaluate nearshore sampling data of OSC concentrations in different environmental matrices within time-space specific categories. The categories correspond to OSC concentration values for samples collected prior to nearshore oiling, post nearshore oiling and at no time impacted by oil as predicted by historic oil spill trajectories generated by an Oil Spill Trajectory Model. In general, concentration values for the post category were higher than prior which were higher than unimpacted. Results show differences in PAH concentration patterns within each matrix and for each category. Concentration frequency distributions for most chemicals in each category were log-normally distributed.
[Display omitted]
•Toxic Oil Spill Chemicals (OSCs) represent a risk to human health.•OSC distributions were categorized in a spatial and temporal context.•Two spatial-temporal categories had statistically higher mean concentrations.•Results show differences in concentration patterns for each category.•Concentration frequency distributions for most OSCs were log-normally distributed.</description><subject>Chemical distributions</subject><subject>Chemicals</subject><subject>Environmental Monitoring</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Human health</subject><subject>Humans</subject><subject>Marine oil spills</subject><subject>Oil slicks</subject><subject>Oil spills</subject><subject>Organic chemistry</subject><subject>PAHs</subject><subject>Petroleum</subject><subject>Petroleum Pollution - statistics & numerical data</subject><subject>Polycyclic aromatic hydrocarbons</subject><subject>Predictions</subject><subject>Risk assessment</subject><subject>Sampling</subject><subject>Water Pollutants, Chemical</subject><subject>Water Pollution, Chemical - statistics & numerical data</subject><issn>0025-326X</issn><issn>1879-3363</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1LxDAURYMozvjxF7Tgxk3HpGmSyVIGv2BAFwruQpq-amqnqUkr6K83pToLN0IgCZx73-MgdErwgmDCL-rFRvvONcXQLDJM5IIQzITYQXOyFDKllNNdNMc4YynN-PMMHYRQY4xFJsg-mlEiI0-yOXpY6R5enLdfureuTVyVtKB9eHUekqA3XWPbl6TUvU6GMD6dbZLQWPOW9F7XYHrnP5POQ2nNWBCO0F6lmwDHP_cherq-elzdpuv7m7vV5To1VMo-1UYwlhugXJSsyHi-NETIgsVvYQTH2lQ5MULiXAMUDEBKg3PCKVRVxRijh-h86u28ex8g9Gpjg4Gm0S24IaiM0pxLmfFlRM_-oLUbfBu3ixSLhwo8UmKijHcheKhU5220_KkIVqN0VautdDVKV5P0mDz56R-KDZTb3K_lCFxOAEQhHxa8CsZCa6I0Hw2q0tl_h3wDUwGYFw</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Montas, Larissa</creator><creator>Ferguson, Alesia C.</creator><creator>Mena, Kristina D.</creator><creator>Solo-Gabriele, Helena M.</creator><general>Elsevier Ltd</general><general>Elsevier BV</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>7ST</scope><scope>7T7</scope><scope>7TN</scope><scope>7TV</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3390-3823</orcidid></search><sort><creationdate>202001</creationdate><title>Categorization of nearshore sampling data using oil slick trajectory predictions</title><author>Montas, Larissa ; Ferguson, Alesia C. ; Mena, Kristina D. ; Solo-Gabriele, Helena M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-ac7554ce367d5b2648c179b567dbc760acf41c7904aeeb5ee99c04163efff5553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Chemical distributions</topic><topic>Chemicals</topic><topic>Environmental Monitoring</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Human health</topic><topic>Humans</topic><topic>Marine oil spills</topic><topic>Oil slicks</topic><topic>Oil spills</topic><topic>Organic chemistry</topic><topic>PAHs</topic><topic>Petroleum</topic><topic>Petroleum Pollution - statistics & numerical data</topic><topic>Polycyclic aromatic hydrocarbons</topic><topic>Predictions</topic><topic>Risk assessment</topic><topic>Sampling</topic><topic>Water Pollutants, Chemical</topic><topic>Water Pollution, Chemical - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Montas, Larissa</creatorcontrib><creatorcontrib>Ferguson, Alesia C.</creatorcontrib><creatorcontrib>Mena, Kristina D.</creatorcontrib><creatorcontrib>Solo-Gabriele, Helena M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Pollution Abstracts</collection><collection>Toxicology 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>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Marine pollution bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Montas, Larissa</au><au>Ferguson, Alesia C.</au><au>Mena, Kristina D.</au><au>Solo-Gabriele, Helena M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Categorization of nearshore sampling data using oil slick trajectory predictions</atitle><jtitle>Marine pollution bulletin</jtitle><addtitle>Mar Pollut Bull</addtitle><date>2020-01</date><risdate>2020</risdate><volume>150</volume><spage>110577</spage><epage>110577</epage><pages>110577-110577</pages><artnum>110577</artnum><issn>0025-326X</issn><eissn>1879-3363</eissn><abstract>Oil Spill Chemicals (OSCs) represent a risk to the environment and human health, especially in nearshore environments used for recreational purposes. Importantly, the starting point for human health risk assessment is to define the concentration of OSCs at nearshore locations. The objective of this study was to evaluate nearshore sampling data of OSC concentrations in different environmental matrices within time-space specific categories. The categories correspond to OSC concentration values for samples collected prior to nearshore oiling, post nearshore oiling and at no time impacted by oil as predicted by historic oil spill trajectories generated by an Oil Spill Trajectory Model. In general, concentration values for the post category were higher than prior which were higher than unimpacted. Results show differences in PAH concentration patterns within each matrix and for each category. Concentration frequency distributions for most chemicals in each category were log-normally distributed.
[Display omitted]
•Toxic Oil Spill Chemicals (OSCs) represent a risk to human health.•OSC distributions were categorized in a spatial and temporal context.•Two spatial-temporal categories had statistically higher mean concentrations.•Results show differences in concentration patterns for each category.•Concentration frequency distributions for most OSCs were log-normally distributed.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31910512</pmid><doi>10.1016/j.marpolbul.2019.110577</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-3390-3823</orcidid></addata></record> |
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subjects | Chemical distributions Chemicals Environmental Monitoring Health risk assessment Health risks Human health Humans Marine oil spills Oil slicks Oil spills Organic chemistry PAHs Petroleum Petroleum Pollution - statistics & numerical data Polycyclic aromatic hydrocarbons Predictions Risk assessment Sampling Water Pollutants, Chemical Water Pollution, Chemical - statistics & numerical data |
title | Categorization of nearshore sampling data using oil slick trajectory predictions |
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