III: Use of biomarkers as Risk Indicators in Environmental Risk Assessment of oil based discharges offshore
Offshore oil and gas activities are required not to cause adverse environmental effects, and risk based management has been established to meet environmental standards. In some risk assessment schemes, Risk Indicators (RIs) are parameters to monitor the development of risk affecting factors. RIs hav...
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Veröffentlicht in: | Marine environmental research 2017-06, Vol.127, p.1-10 |
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creator | Sanni, Steinar Lyng, Emily Pampanin, Daniela M. |
description | Offshore oil and gas activities are required not to cause adverse environmental effects, and risk based management has been established to meet environmental standards. In some risk assessment schemes, Risk Indicators (RIs) are parameters to monitor the development of risk affecting factors. RIs have not yet been established in the Environmental Risk Assessment procedures for management of oil based discharges offshore.
This paper evaluates the usefulness of biomarkers as RIs, based on their properties, existing laboratory biomarker data and assessment methods. Data shows several correlations between oil concentrations and biomarker responses, and assessment principles exist that qualify biomarkers for integration into risk procedures. Different ways that these existing biomarkers and methods can be applied as RIs in a probabilistic risk assessment system when linked with whole organism responses are discussed. This can be a useful approach to integrate biomarkers into probabilistic risk assessment related to oil based discharges, representing a potential supplement to information that biomarkers already provide about environmental impact and risk related to these kind of discharges.
•Risk indicators based on biomarkers for oil based offshore discharges are evaluated.•Assessment principles qualifying biomarkers for integration into probabilistic risk procedures were identified.•Integration by biomarker based Species Sensitivity Distributions (SSD) or biomarker Environmental Assessment Criteria (EAC).•Biomarker “Background Assessment Criteria” (BAC) can be applied in the hazard identification/characterization steps. |
doi_str_mv | 10.1016/j.marenvres.2016.12.004 |
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This paper evaluates the usefulness of biomarkers as RIs, based on their properties, existing laboratory biomarker data and assessment methods. Data shows several correlations between oil concentrations and biomarker responses, and assessment principles exist that qualify biomarkers for integration into risk procedures. Different ways that these existing biomarkers and methods can be applied as RIs in a probabilistic risk assessment system when linked with whole organism responses are discussed. This can be a useful approach to integrate biomarkers into probabilistic risk assessment related to oil based discharges, representing a potential supplement to information that biomarkers already provide about environmental impact and risk related to these kind of discharges.
•Risk indicators based on biomarkers for oil based offshore discharges are evaluated.•Assessment principles qualifying biomarkers for integration into probabilistic risk procedures were identified.•Integration by biomarker based Species Sensitivity Distributions (SSD) or biomarker Environmental Assessment Criteria (EAC).•Biomarker “Background Assessment Criteria” (BAC) can be applied in the hazard identification/characterization steps.</description><identifier>ISSN: 0141-1136</identifier><identifier>EISSN: 1879-0291</identifier><identifier>DOI: 10.1016/j.marenvres.2016.12.004</identifier><identifier>PMID: 28038790</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Assessment criteria ; Bioindicators ; Biomarker ; Biomarkers ; Biomonitoring ; Discharge ; Ecological risk assessment ; Ecosystem management ; Environmental assessment ; Environmental effects ; Environmental impact ; Environmental management ; Environmental Monitoring - methods ; Environmental risk ; Indicators ; Integration ; Methods ; Natural gas ; Offshore ; Offshore drilling rigs ; Offshore engineering ; Oil ; Petroleum hydrocarbons ; Petroleum Pollution - analysis ; Petroleum Pollution - statistics & numerical data ; Probabilistic risk assessment ; Procedures ; Risk assessment ; Risk Assessment - methods ; Risk Factors ; Risk indicator ; Risk management ; Studies ; Water Pollutants, Chemical - analysis</subject><ispartof>Marine environmental research, 2017-06, Vol.127, p.1-10</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright © 2016 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier BV Jun 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-2cf0b8b51bd0b777e277a3982d21db8cca12a7264602221f1394f5fea0e37a4d3</citedby><cites>FETCH-LOGICAL-c399t-2cf0b8b51bd0b777e277a3982d21db8cca12a7264602221f1394f5fea0e37a4d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0141113616303488$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28038790$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanni, Steinar</creatorcontrib><creatorcontrib>Lyng, Emily</creatorcontrib><creatorcontrib>Pampanin, Daniela M.</creatorcontrib><title>III: Use of biomarkers as Risk Indicators in Environmental Risk Assessment of oil based discharges offshore</title><title>Marine environmental research</title><addtitle>Mar Environ Res</addtitle><description>Offshore oil and gas activities are required not to cause adverse environmental effects, and risk based management has been established to meet environmental standards. In some risk assessment schemes, Risk Indicators (RIs) are parameters to monitor the development of risk affecting factors. RIs have not yet been established in the Environmental Risk Assessment procedures for management of oil based discharges offshore.
This paper evaluates the usefulness of biomarkers as RIs, based on their properties, existing laboratory biomarker data and assessment methods. Data shows several correlations between oil concentrations and biomarker responses, and assessment principles exist that qualify biomarkers for integration into risk procedures. Different ways that these existing biomarkers and methods can be applied as RIs in a probabilistic risk assessment system when linked with whole organism responses are discussed. This can be a useful approach to integrate biomarkers into probabilistic risk assessment related to oil based discharges, representing a potential supplement to information that biomarkers already provide about environmental impact and risk related to these kind of discharges.
•Risk indicators based on biomarkers for oil based offshore discharges are evaluated.•Assessment principles qualifying biomarkers for integration into probabilistic risk procedures were identified.•Integration by biomarker based Species Sensitivity Distributions (SSD) or biomarker Environmental Assessment Criteria (EAC).•Biomarker “Background Assessment Criteria” (BAC) can be applied in the hazard identification/characterization steps.</description><subject>Assessment criteria</subject><subject>Bioindicators</subject><subject>Biomarker</subject><subject>Biomarkers</subject><subject>Biomonitoring</subject><subject>Discharge</subject><subject>Ecological risk assessment</subject><subject>Ecosystem management</subject><subject>Environmental assessment</subject><subject>Environmental effects</subject><subject>Environmental impact</subject><subject>Environmental management</subject><subject>Environmental Monitoring - methods</subject><subject>Environmental risk</subject><subject>Indicators</subject><subject>Integration</subject><subject>Methods</subject><subject>Natural gas</subject><subject>Offshore</subject><subject>Offshore drilling rigs</subject><subject>Offshore engineering</subject><subject>Oil</subject><subject>Petroleum hydrocarbons</subject><subject>Petroleum Pollution - analysis</subject><subject>Petroleum Pollution - statistics & numerical data</subject><subject>Probabilistic risk assessment</subject><subject>Procedures</subject><subject>Risk assessment</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>Risk indicator</subject><subject>Risk management</subject><subject>Studies</subject><subject>Water Pollutants, Chemical - analysis</subject><issn>0141-1136</issn><issn>1879-0291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU-LFDEQxYMo7jj6FTTgxUu3qfSfdHsbllUbFgRxzyGdVLuZ6UnWVM-A3940s-7Bi6eCx69eFe8x9g5ECQLaj_vyaBKGc0IqZRZKkKUQ9TO2gU71hZA9PGcbATUUAFV7xV4R7YUQjYLmJbuSnagyJzbsMAzDJ35HyOPERx-z7QETcUP8u6cDH4Lz1iwxSz7wm3D2KYYjhsXMF2BHhESrsjpEP_PREDruPNl7k34iZX2i-5jwNXsxmZnwzePcsrvPNz-uvxa3374M17vbwlZ9vxTSTmLsxgZGJ0alFEqlTNV30klwY2etAWmUbOtWSClhgqqvp2ZCI7BSpnbVln24-D6k-OuEtOhjfgbn2QSMJ9LQNXULrczJbNn7f9B9PKWQv9PQ16LJkVUrpS6UTZEo4aQfks9J_dYg9NqH3uunPvTahwapcx958-2j_2k8onva-1tABnYXAHMgZ49Jk_UYLDqf0C7aRf_fI38Aw8uf_Q</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Sanni, Steinar</creator><creator>Lyng, Emily</creator><creator>Pampanin, Daniela 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>7SN</scope><scope>7ST</scope><scope>7T5</scope><scope>7TN</scope><scope>7U7</scope><scope>C1K</scope><scope>F1W</scope><scope>H94</scope><scope>M7N</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20170601</creationdate><title>III: Use of biomarkers as Risk Indicators in Environmental Risk Assessment of oil based discharges offshore</title><author>Sanni, Steinar ; Lyng, Emily ; Pampanin, Daniela M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-2cf0b8b51bd0b777e277a3982d21db8cca12a7264602221f1394f5fea0e37a4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Assessment criteria</topic><topic>Bioindicators</topic><topic>Biomarker</topic><topic>Biomarkers</topic><topic>Biomonitoring</topic><topic>Discharge</topic><topic>Ecological risk assessment</topic><topic>Ecosystem management</topic><topic>Environmental assessment</topic><topic>Environmental effects</topic><topic>Environmental impact</topic><topic>Environmental management</topic><topic>Environmental Monitoring - methods</topic><topic>Environmental risk</topic><topic>Indicators</topic><topic>Integration</topic><topic>Methods</topic><topic>Natural gas</topic><topic>Offshore</topic><topic>Offshore drilling rigs</topic><topic>Offshore engineering</topic><topic>Oil</topic><topic>Petroleum hydrocarbons</topic><topic>Petroleum Pollution - analysis</topic><topic>Petroleum Pollution - statistics & numerical data</topic><topic>Probabilistic risk assessment</topic><topic>Procedures</topic><topic>Risk assessment</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>Risk indicator</topic><topic>Risk management</topic><topic>Studies</topic><topic>Water Pollutants, Chemical - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanni, Steinar</creatorcontrib><creatorcontrib>Lyng, Emily</creatorcontrib><creatorcontrib>Pampanin, Daniela 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>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Marine environmental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanni, Steinar</au><au>Lyng, Emily</au><au>Pampanin, Daniela M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>III: Use of biomarkers as Risk Indicators in Environmental Risk Assessment of oil based discharges offshore</atitle><jtitle>Marine environmental research</jtitle><addtitle>Mar Environ Res</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>127</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>0141-1136</issn><eissn>1879-0291</eissn><abstract>Offshore oil and gas activities are required not to cause adverse environmental effects, and risk based management has been established to meet environmental standards. In some risk assessment schemes, Risk Indicators (RIs) are parameters to monitor the development of risk affecting factors. RIs have not yet been established in the Environmental Risk Assessment procedures for management of oil based discharges offshore.
This paper evaluates the usefulness of biomarkers as RIs, based on their properties, existing laboratory biomarker data and assessment methods. Data shows several correlations between oil concentrations and biomarker responses, and assessment principles exist that qualify biomarkers for integration into risk procedures. Different ways that these existing biomarkers and methods can be applied as RIs in a probabilistic risk assessment system when linked with whole organism responses are discussed. This can be a useful approach to integrate biomarkers into probabilistic risk assessment related to oil based discharges, representing a potential supplement to information that biomarkers already provide about environmental impact and risk related to these kind of discharges.
•Risk indicators based on biomarkers for oil based offshore discharges are evaluated.•Assessment principles qualifying biomarkers for integration into probabilistic risk procedures were identified.•Integration by biomarker based Species Sensitivity Distributions (SSD) or biomarker Environmental Assessment Criteria (EAC).•Biomarker “Background Assessment Criteria” (BAC) can be applied in the hazard identification/characterization steps.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>28038790</pmid><doi>10.1016/j.marenvres.2016.12.004</doi><tpages>10</tpages></addata></record> |
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subjects | Assessment criteria Bioindicators Biomarker Biomarkers Biomonitoring Discharge Ecological risk assessment Ecosystem management Environmental assessment Environmental effects Environmental impact Environmental management Environmental Monitoring - methods Environmental risk Indicators Integration Methods Natural gas Offshore Offshore drilling rigs Offshore engineering Oil Petroleum hydrocarbons Petroleum Pollution - analysis Petroleum Pollution - statistics & numerical data Probabilistic risk assessment Procedures Risk assessment Risk Assessment - methods Risk Factors Risk indicator Risk management Studies Water Pollutants, Chemical - analysis |
title | III: Use of biomarkers as Risk Indicators in Environmental Risk Assessment of oil based discharges offshore |
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