A quantitative risk analysis approach to port hydrocarbon logistics
A method is presented that allows quantitative risk analysis to be performed on marine hydrocarbon terminals sited in ports. A significant gap was identified in the technical literature on QRA for the handling of hazardous materials in harbours published prior to this work. The analysis is extended...
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Veröffentlicht in: | Journal of hazardous materials 2006-01, Vol.128 (1), p.10-24 |
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creator | Ronza, A. Carol, S. Espejo, V. Vílchez, J.A. Arnaldos, J. |
description | A method is presented that allows quantitative risk analysis to be performed on marine hydrocarbon terminals sited in ports. A significant gap was identified in the technical literature on QRA for the handling of hazardous materials in harbours published prior to this work. The analysis is extended to tanker navigation through port waters and loading and unloading facilities. The steps of the method are discussed, beginning with data collecting. As to accident scenario identification, an approach is proposed that takes into account minor and massive spills due to loading arm failures and tank rupture. Frequency estimation is thoroughly reviewed and a shortcut approach is proposed for frequency calculation. This allows for the two-fold possibility of a tanker colliding/grounding at/near the berth or while navigating to/from the berth. A number of probability data defining the possibility of a cargo spill after an external impact on a tanker are discussed. As to consequence and vulnerability estimates, a scheme is proposed for the use of ratios between the numbers of fatal victims, injured and evacuated people. Finally, an example application is given, based on a pilot study conducted in the Port of Barcelona, where the method was tested. |
doi_str_mv | 10.1016/j.jhazmat.2005.07.032 |
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A significant gap was identified in the technical literature on QRA for the handling of hazardous materials in harbours published prior to this work. The analysis is extended to tanker navigation through port waters and loading and unloading facilities. The steps of the method are discussed, beginning with data collecting. As to accident scenario identification, an approach is proposed that takes into account minor and massive spills due to loading arm failures and tank rupture. Frequency estimation is thoroughly reviewed and a shortcut approach is proposed for frequency calculation. This allows for the two-fold possibility of a tanker colliding/grounding at/near the berth or while navigating to/from the berth. A number of probability data defining the possibility of a cargo spill after an external impact on a tanker are discussed. 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A significant gap was identified in the technical literature on QRA for the handling of hazardous materials in harbours published prior to this work. The analysis is extended to tanker navigation through port waters and loading and unloading facilities. The steps of the method are discussed, beginning with data collecting. As to accident scenario identification, an approach is proposed that takes into account minor and massive spills due to loading arm failures and tank rupture. Frequency estimation is thoroughly reviewed and a shortcut approach is proposed for frequency calculation. This allows for the two-fold possibility of a tanker colliding/grounding at/near the berth or while navigating to/from the berth. A number of probability data defining the possibility of a cargo spill after an external impact on a tanker are discussed. As to consequence and vulnerability estimates, a scheme is proposed for the use of ratios between the numbers of fatal victims, injured and evacuated people. Finally, an example application is given, based on a pilot study conducted in the Port of Barcelona, where the method was tested.</description><subject>Accident frequencies</subject><subject>Accidents, Occupational</subject><subject>Applied sciences</subject><subject>Chemical engineering</subject><subject>Disaster Planning</subject><subject>Exact sciences and technology</subject><subject>Hazardous materials</subject><subject>Humans</subject><subject>Hydrocarbon logistics</subject><subject>Hydrocarbons</subject><subject>Models, Theoretical</subject><subject>Petroleum</subject><subject>Pilot Projects</subject><subject>Pollution</subject><subject>Ports</subject><subject>Quantitative risk analysis</subject><subject>Risk Assessment</subject><subject>Safety</subject><subject>Seawater</subject><subject>Ships</subject><issn>0304-3894</issn><issn>1873-3336</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1v1DAQhi0EotvCTwDlAreknji24xOqVkCRKvUCZ2viD9ZLNtna3krbX1-vNlKP5TRzeGbm1TyEfALaAAVxvW22G3zaYW5aSnlDZUNZ-4asoJesZoyJt2RFGe1q1qvuglymtKWUguTde3IBAlred3RF1jfVwwGnHDLm8OiqGNK_CiccjymkCvf7OKPZVHmu9nPM1eZo42wwDvNUjfPfkHIw6QN553FM7uNSr8ifH99_r2_ru_ufv9Y3d7XpepFr5cBbJbtWDKI34P0A0GMnrHcD9Mqgh4GD5cgputKVjJ4D5dY61jr07Ip8Pe8toR4OLmW9C8m4ccTJzYekW8W5AsFfBUEJKUD9B9hJKZWSBeRn0MQ5pei83seww3jUQPXJh97qxYc--dBU6uKjzH1eDhyGnbMvU4uAAnxZAEwGRx9xMiG9cOVdLWOnpN_OnCsPfgwu6mSCm4yzITqTtZ3DK1GeARwyrEQ</recordid><startdate>20060116</startdate><enddate>20060116</enddate><creator>Ronza, A.</creator><creator>Carol, S.</creator><creator>Espejo, V.</creator><creator>Vílchez, J.A.</creator><creator>Arnaldos, J.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><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>C1K</scope><scope>SOI</scope><scope>7T2</scope><scope>7U1</scope><scope>7U2</scope><scope>7U7</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20060116</creationdate><title>A quantitative risk analysis approach to port hydrocarbon logistics</title><author>Ronza, A. ; Carol, S. ; Espejo, V. ; Vílchez, J.A. ; Arnaldos, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c486t-9e1fd97426b68c1ffb118a46dfeb189caf1b51d5a50aeb51612f5105dde32eaf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Accident frequencies</topic><topic>Accidents, Occupational</topic><topic>Applied sciences</topic><topic>Chemical engineering</topic><topic>Disaster Planning</topic><topic>Exact sciences and technology</topic><topic>Hazardous materials</topic><topic>Humans</topic><topic>Hydrocarbon logistics</topic><topic>Hydrocarbons</topic><topic>Models, Theoretical</topic><topic>Petroleum</topic><topic>Pilot Projects</topic><topic>Pollution</topic><topic>Ports</topic><topic>Quantitative risk analysis</topic><topic>Risk Assessment</topic><topic>Safety</topic><topic>Seawater</topic><topic>Ships</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ronza, A.</creatorcontrib><creatorcontrib>Carol, S.</creatorcontrib><creatorcontrib>Espejo, V.</creatorcontrib><creatorcontrib>Vílchez, J.A.</creatorcontrib><creatorcontrib>Arnaldos, J.</creatorcontrib><collection>Pascal-Francis</collection><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>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Toxicology Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hazardous materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ronza, A.</au><au>Carol, S.</au><au>Espejo, V.</au><au>Vílchez, J.A.</au><au>Arnaldos, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A quantitative risk analysis approach to port hydrocarbon logistics</atitle><jtitle>Journal of hazardous materials</jtitle><addtitle>J Hazard Mater</addtitle><date>2006-01-16</date><risdate>2006</risdate><volume>128</volume><issue>1</issue><spage>10</spage><epage>24</epage><pages>10-24</pages><issn>0304-3894</issn><eissn>1873-3336</eissn><coden>JHMAD9</coden><abstract>A method is presented that allows quantitative risk analysis to be performed on marine hydrocarbon terminals sited in ports. A significant gap was identified in the technical literature on QRA for the handling of hazardous materials in harbours published prior to this work. The analysis is extended to tanker navigation through port waters and loading and unloading facilities. The steps of the method are discussed, beginning with data collecting. As to accident scenario identification, an approach is proposed that takes into account minor and massive spills due to loading arm failures and tank rupture. Frequency estimation is thoroughly reviewed and a shortcut approach is proposed for frequency calculation. This allows for the two-fold possibility of a tanker colliding/grounding at/near the berth or while navigating to/from the berth. A number of probability data defining the possibility of a cargo spill after an external impact on a tanker are discussed. As to consequence and vulnerability estimates, a scheme is proposed for the use of ratios between the numbers of fatal victims, injured and evacuated people. Finally, an example application is given, based on a pilot study conducted in the Port of Barcelona, where the method was tested.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>16125840</pmid><doi>10.1016/j.jhazmat.2005.07.032</doi><tpages>15</tpages></addata></record> |
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subjects | Accident frequencies Accidents, Occupational Applied sciences Chemical engineering Disaster Planning Exact sciences and technology Hazardous materials Humans Hydrocarbon logistics Hydrocarbons Models, Theoretical Petroleum Pilot Projects Pollution Ports Quantitative risk analysis Risk Assessment Safety Seawater Ships |
title | A quantitative risk analysis approach to port hydrocarbon logistics |
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