Mapping and initial dilution estimation of an ocean outfall plume using an autonomous underwater vehicle
A monitoring mission to study the shape and estimate initial dilution of the S. Jacinto outfall plume using an autonomous underwater vehicle (AUV) was performed on July 30, 2002. In order to reduce the uncertainty about plume location and to concentrate the vehicle mission only in the hydrodynamic m...
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Veröffentlicht in: | Continental shelf research 2007-03, Vol.27 (5), p.583-593 |
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creator | Ramos, P.A. Neves, M.V. Pereira, F.L. |
description | A monitoring mission to study the shape and estimate initial dilution of the
S. Jacinto outfall plume using an autonomous underwater vehicle (AUV) was performed on July 30, 2002. In order to reduce the uncertainty about plume location and to concentrate the vehicle mission only in the hydrodynamic mixing zone, outputs of a near-field prediction model, based on effective real-time in situ measurements of current speed and direction and density stratification, were opportunistically used to specify in real time the mission transects. The surface characteristics of the outfall plume were found to be influenced strongly by the relatively weak stratification and low current velocities. Dilution was estimated using a temperature–salinity (
TS-) diagram with initial mixing lines between wastewater and ambient waters. Effluent dilutions were at least 30:1 in this study. In order to efficiently map the plume dispersion we applied the least-squares collocation method technique. Our results demonstrate that AUVs can provide high-quality measurements of physical properties of effluent plumes in a quite effective manner and valuable considerations about the initial mixing processes under real oceanic conditions can be further investigated. |
doi_str_mv | 10.1016/j.csr.2006.11.017 |
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S. Jacinto outfall plume using an autonomous underwater vehicle (AUV) was performed on July 30, 2002. In order to reduce the uncertainty about plume location and to concentrate the vehicle mission only in the hydrodynamic mixing zone, outputs of a near-field prediction model, based on effective real-time in situ measurements of current speed and direction and density stratification, were opportunistically used to specify in real time the mission transects. The surface characteristics of the outfall plume were found to be influenced strongly by the relatively weak stratification and low current velocities. Dilution was estimated using a temperature–salinity (
TS-) diagram with initial mixing lines between wastewater and ambient waters. Effluent dilutions were at least 30:1 in this study. In order to efficiently map the plume dispersion we applied the least-squares collocation method technique. Our results demonstrate that AUVs can provide high-quality measurements of physical properties of effluent plumes in a quite effective manner and valuable considerations about the initial mixing processes under real oceanic conditions can be further investigated.</description><identifier>ISSN: 0278-4343</identifier><identifier>EISSN: 1873-6955</identifier><identifier>DOI: 10.1016/j.csr.2006.11.017</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Autonomous underwater vehicles ; Dilution ; Least-squares collocation method ; Mathematical models ; Monitoring ; Ocean outfalls ; Plume dispersion</subject><ispartof>Continental shelf research, 2007-03, Vol.27 (5), p.583-593</ispartof><rights>2007 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-8b6de2ae2d056dc8a8c916831e84c8ed0dfd41ebf87ce9c2e4aae43def9309b93</citedby><cites>FETCH-LOGICAL-c328t-8b6de2ae2d056dc8a8c916831e84c8ed0dfd41ebf87ce9c2e4aae43def9309b93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0278434306003748$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Ramos, P.A.</creatorcontrib><creatorcontrib>Neves, M.V.</creatorcontrib><creatorcontrib>Pereira, F.L.</creatorcontrib><title>Mapping and initial dilution estimation of an ocean outfall plume using an autonomous underwater vehicle</title><title>Continental shelf research</title><description>A monitoring mission to study the shape and estimate initial dilution of the
S. Jacinto outfall plume using an autonomous underwater vehicle (AUV) was performed on July 30, 2002. In order to reduce the uncertainty about plume location and to concentrate the vehicle mission only in the hydrodynamic mixing zone, outputs of a near-field prediction model, based on effective real-time in situ measurements of current speed and direction and density stratification, were opportunistically used to specify in real time the mission transects. The surface characteristics of the outfall plume were found to be influenced strongly by the relatively weak stratification and low current velocities. Dilution was estimated using a temperature–salinity (
TS-) diagram with initial mixing lines between wastewater and ambient waters. Effluent dilutions were at least 30:1 in this study. In order to efficiently map the plume dispersion we applied the least-squares collocation method technique. Our results demonstrate that AUVs can provide high-quality measurements of physical properties of effluent plumes in a quite effective manner and valuable considerations about the initial mixing processes under real oceanic conditions can be further investigated.</description><subject>Autonomous underwater vehicles</subject><subject>Dilution</subject><subject>Least-squares collocation method</subject><subject>Mathematical models</subject><subject>Monitoring</subject><subject>Ocean outfalls</subject><subject>Plume dispersion</subject><issn>0278-4343</issn><issn>1873-6955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PxCAURYnRxPHjB7hj5a4V2k4LcWUmfiVj3OiaMPDqMKFQgY7x38tY1254LO55efcgdEVJSQltb3aliqGsCGlLSktCuyO0oKyri5Yvl8doQaqOFU3d1KfoLMYdIaRrebdA2xc5jsZ9YOk0Ns4kIy3Wxk7JeIchJjPI36_vcwR7BYd3Sr20Fo92GgBPceaxnJJ3fvBTxJPTEL5kgoD3sDXKwgU6yUyEy795jt4f7t9WT8X69fF5dbcuVF2xVLBNq6GSUGmybLVikilOW1ZTYI1ioInudUNh07NOAVcVNFJCU2voeU34htfn6HreOwb_OeUCYjBRgbXSQb5MVITzLovJQToHVfAxBujFGHLZ8C0oEQenYieyU3FwKigV2WlmbmcGcoO9gSCiMuAUaBNAJaG9-Yf-AVsmgrc</recordid><startdate>20070301</startdate><enddate>20070301</enddate><creator>Ramos, P.A.</creator><creator>Neves, M.V.</creator><creator>Pereira, F.L.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7TV</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20070301</creationdate><title>Mapping and initial dilution estimation of an ocean outfall plume using an autonomous underwater vehicle</title><author>Ramos, P.A. ; Neves, M.V. ; Pereira, F.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-8b6de2ae2d056dc8a8c916831e84c8ed0dfd41ebf87ce9c2e4aae43def9309b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Autonomous underwater vehicles</topic><topic>Dilution</topic><topic>Least-squares collocation method</topic><topic>Mathematical models</topic><topic>Monitoring</topic><topic>Ocean outfalls</topic><topic>Plume dispersion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramos, P.A.</creatorcontrib><creatorcontrib>Neves, M.V.</creatorcontrib><creatorcontrib>Pereira, F.L.</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Pollution 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>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Continental shelf research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramos, P.A.</au><au>Neves, M.V.</au><au>Pereira, F.L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping and initial dilution estimation of an ocean outfall plume using an autonomous underwater vehicle</atitle><jtitle>Continental shelf research</jtitle><date>2007-03-01</date><risdate>2007</risdate><volume>27</volume><issue>5</issue><spage>583</spage><epage>593</epage><pages>583-593</pages><issn>0278-4343</issn><eissn>1873-6955</eissn><abstract>A monitoring mission to study the shape and estimate initial dilution of the
S. Jacinto outfall plume using an autonomous underwater vehicle (AUV) was performed on July 30, 2002. In order to reduce the uncertainty about plume location and to concentrate the vehicle mission only in the hydrodynamic mixing zone, outputs of a near-field prediction model, based on effective real-time in situ measurements of current speed and direction and density stratification, were opportunistically used to specify in real time the mission transects. The surface characteristics of the outfall plume were found to be influenced strongly by the relatively weak stratification and low current velocities. Dilution was estimated using a temperature–salinity (
TS-) diagram with initial mixing lines between wastewater and ambient waters. Effluent dilutions were at least 30:1 in this study. In order to efficiently map the plume dispersion we applied the least-squares collocation method technique. Our results demonstrate that AUVs can provide high-quality measurements of physical properties of effluent plumes in a quite effective manner and valuable considerations about the initial mixing processes under real oceanic conditions can be further investigated.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.csr.2006.11.017</doi><tpages>11</tpages></addata></record> |
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subjects | Autonomous underwater vehicles Dilution Least-squares collocation method Mathematical models Monitoring Ocean outfalls Plume dispersion |
title | Mapping and initial dilution estimation of an ocean outfall plume using an autonomous underwater vehicle |
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