mobile monitoring system to understand the processes controlling episodic events in Corpus Christi Bay
Corpus Christi Bay (TX, USA) is a shallow wind-driven bay and thereby, can be characterized as a highly pulsed system. It cycles through various episodic events such as hypoxia, water column stratification, sediment resuspension, flooding, etc. Understanding of the processes that control these event...
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description | Corpus Christi Bay (TX, USA) is a shallow wind-driven bay and thereby, can be characterized as a highly pulsed system. It cycles through various episodic events such as hypoxia, water column stratification, sediment resuspension, flooding, etc. Understanding of the processes that control these events requires an efficient observation system that can measure various hydrodynamic and water quality parameters at the multitude of spatial and temporal scales of interest. As part of our effort to implement an efficient observation system for Corpus Christi Bay, a mobile monitoring system was developed that can acquire and visualize data measured by various submersible sensors on an undulating tow-body deployed behind a research vessel. Along with this system, we have installed a downward-looking Acoustic Doppler Current Profiler to measure the vertical profile of water currents. Real-time display of each measured parameter intensity (measured value relative to a pre-set peak value) guides in selecting the transect route to capture the event of interest. In addition, large synchronized datasets measured by this system provide an opportunity to understand the processes that control various episodic events in the bay. To illustrate the capability of this system, datasets from two research cruises are presented in this paper that help to clarify processes inducing an inverse estuary condition at the mouth of the ship channel and hypoxia at the bottom of the bay. These measured datasets can also be used to drive numerical models to understand various environmental phenomena that control the water quality of the bay. |
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It cycles through various episodic events such as hypoxia, water column stratification, sediment resuspension, flooding, etc. Understanding of the processes that control these events requires an efficient observation system that can measure various hydrodynamic and water quality parameters at the multitude of spatial and temporal scales of interest. As part of our effort to implement an efficient observation system for Corpus Christi Bay, a mobile monitoring system was developed that can acquire and visualize data measured by various submersible sensors on an undulating tow-body deployed behind a research vessel. Along with this system, we have installed a downward-looking Acoustic Doppler Current Profiler to measure the vertical profile of water currents. Real-time display of each measured parameter intensity (measured value relative to a pre-set peak value) guides in selecting the transect route to capture the event of interest. In addition, large synchronized datasets measured by this system provide an opportunity to understand the processes that control various episodic events in the bay. To illustrate the capability of this system, datasets from two research cruises are presented in this paper that help to clarify processes inducing an inverse estuary condition at the mouth of the ship channel and hypoxia at the bottom of the bay. These measured datasets can also be used to drive numerical models to understand various environmental phenomena that control the water quality of the bay.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-010-1536-y</identifier><identifier>PMID: 20556650</identifier><identifier>CODEN: EMASDH</identifier><language>eng</language><publisher>Dordrecht: Dordrecht : Springer Netherlands</publisher><subject>Adaptive sampling ; Atmospheric Protection/Air Quality Control/Air Pollution ; Autonomous underwater vehicles ; Brackish ; Coastal oceanography, estuaries. Regional oceanography ; Corpus Christi Bay ; Datasets ; Earth and Environmental Science ; Earth, ocean, space ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental monitoring ; Environmental Monitoring - methods ; Estuaries ; Exact sciences and technology ; External geophysics ; Hypoxia ; Marine ecology ; Mathematical models ; Mobile monitoring system ; Monitoring systems ; Monitoring/Environmental Analysis ; Observatories ; Physics of the oceans ; Seawater - analysis ; Sensors ; Stratification ; Studies ; Water column ; Water currents ; Water pollution ; Water quality ; Water quality control</subject><ispartof>Environmental monitoring and assessment, 2011-04, Vol.175 (1-4), p.349-366</ispartof><rights>Springer Science+Business Media B.V. 2010</rights><rights>2015 INIST-CNRS</rights><rights>Springer Science+Business Media B.V. 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-2d756ddb4da2c68ec7a6f3abfe1dc1d70db3ca4311ae63e70e9797889de754cc3</citedby><cites>FETCH-LOGICAL-c456t-2d756ddb4da2c68ec7a6f3abfe1dc1d70db3ca4311ae63e70e9797889de754cc3</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/s10661-010-1536-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-010-1536-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23956186$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20556650$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Islam, Mohammad Shahidul</creatorcontrib><creatorcontrib>Bonner, James S</creatorcontrib><creatorcontrib>Ojo, Temitope O</creatorcontrib><creatorcontrib>Page, Cheryl</creatorcontrib><title>mobile monitoring system to understand the processes controlling episodic events in Corpus Christi Bay</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Corpus Christi Bay (TX, USA) is a shallow wind-driven bay and thereby, can be characterized as a highly pulsed system. It cycles through various episodic events such as hypoxia, water column stratification, sediment resuspension, flooding, etc. Understanding of the processes that control these events requires an efficient observation system that can measure various hydrodynamic and water quality parameters at the multitude of spatial and temporal scales of interest. As part of our effort to implement an efficient observation system for Corpus Christi Bay, a mobile monitoring system was developed that can acquire and visualize data measured by various submersible sensors on an undulating tow-body deployed behind a research vessel. Along with this system, we have installed a downward-looking Acoustic Doppler Current Profiler to measure the vertical profile of water currents. Real-time display of each measured parameter intensity (measured value relative to a pre-set peak value) guides in selecting the transect route to capture the event of interest. In addition, large synchronized datasets measured by this system provide an opportunity to understand the processes that control various episodic events in the bay. To illustrate the capability of this system, datasets from two research cruises are presented in this paper that help to clarify processes inducing an inverse estuary condition at the mouth of the ship channel and hypoxia at the bottom of the bay. These measured datasets can also be used to drive numerical models to understand various environmental phenomena that control the water quality of the bay.</description><subject>Adaptive sampling</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Autonomous underwater vehicles</subject><subject>Brackish</subject><subject>Coastal oceanography, estuaries. Regional oceanography</subject><subject>Corpus Christi Bay</subject><subject>Datasets</subject><subject>Earth and Environmental Science</subject><subject>Earth, ocean, space</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental monitoring</subject><subject>Environmental Monitoring - methods</subject><subject>Estuaries</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Hypoxia</subject><subject>Marine ecology</subject><subject>Mathematical models</subject><subject>Mobile monitoring system</subject><subject>Monitoring systems</subject><subject>Monitoring/Environmental Analysis</subject><subject>Observatories</subject><subject>Physics of the oceans</subject><subject>Seawater - analysis</subject><subject>Sensors</subject><subject>Stratification</subject><subject>Studies</subject><subject>Water column</subject><subject>Water currents</subject><subject>Water pollution</subject><subject>Water quality</subject><subject>Water quality control</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kcGK1TAUhoMozp2rD-BGgyCuqknTJM1SL44KAy501iFNTmcytM01JxX69vbSqwMuXIQQ-P6Tn_MR8oKzd5wx_R45U4pXjLOKS6Gq5RHZcalFVRtpHpMd40pXSihzQS4R7xljRjfmKbmomZRKSbYj_Zi6OAAd0xRLynG6pbhggZGWROcpQMbipkDLHdBjTh4QAalPU8lpGE44HCOmED2FXzAVpHGih5SPM9LDXY5YIv3olmfkSe8GhOfne09urj79OHyprr99_nr4cF35RqpS1UFLFULXBFd71YLXTvXCdT3w4HnQLHTCu0Zw7kAJ0AyMNrptTQAtG-_Fnrzd5q5df86AxY4RPQyDmyDNaFvVGMWNkiv5-h_yPs15WsvZVjamFWw9e8I3yOeEmKG3xxxHlxfLmT0psJsCy07vVYFd1szL8-C5GyH8TfzZ-Qq8OQMOvRv67CYf8YETRireqpWrNw6PJy-QHxr-7_dXW6h3ybrbVYC9-V4zLhg3UjIpxG_X76oi</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Islam, Mohammad Shahidul</creator><creator>Bonner, James S</creator><creator>Ojo, Temitope O</creator><creator>Page, Cheryl</creator><general>Dordrecht : Springer Netherlands</general><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><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>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7TV</scope></search><sort><creationdate>20110401</creationdate><title>mobile monitoring system to understand the processes controlling episodic events in Corpus Christi Bay</title><author>Islam, Mohammad Shahidul ; Bonner, James S ; Ojo, Temitope O ; Page, Cheryl</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-2d756ddb4da2c68ec7a6f3abfe1dc1d70db3ca4311ae63e70e9797889de754cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adaptive sampling</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Autonomous underwater vehicles</topic><topic>Brackish</topic><topic>Coastal oceanography, estuaries. 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It cycles through various episodic events such as hypoxia, water column stratification, sediment resuspension, flooding, etc. Understanding of the processes that control these events requires an efficient observation system that can measure various hydrodynamic and water quality parameters at the multitude of spatial and temporal scales of interest. As part of our effort to implement an efficient observation system for Corpus Christi Bay, a mobile monitoring system was developed that can acquire and visualize data measured by various submersible sensors on an undulating tow-body deployed behind a research vessel. Along with this system, we have installed a downward-looking Acoustic Doppler Current Profiler to measure the vertical profile of water currents. Real-time display of each measured parameter intensity (measured value relative to a pre-set peak value) guides in selecting the transect route to capture the event of interest. In addition, large synchronized datasets measured by this system provide an opportunity to understand the processes that control various episodic events in the bay. To illustrate the capability of this system, datasets from two research cruises are presented in this paper that help to clarify processes inducing an inverse estuary condition at the mouth of the ship channel and hypoxia at the bottom of the bay. These measured datasets can also be used to drive numerical models to understand various environmental phenomena that control the water quality of the bay.</abstract><cop>Dordrecht</cop><pub>Dordrecht : Springer Netherlands</pub><pmid>20556650</pmid><doi>10.1007/s10661-010-1536-y</doi><tpages>18</tpages></addata></record> |
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subjects | Adaptive sampling Atmospheric Protection/Air Quality Control/Air Pollution Autonomous underwater vehicles Brackish Coastal oceanography, estuaries. Regional oceanography Corpus Christi Bay Datasets Earth and Environmental Science Earth, ocean, space Ecology Ecotoxicology Environment Environmental Management Environmental monitoring Environmental Monitoring - methods Estuaries Exact sciences and technology External geophysics Hypoxia Marine ecology Mathematical models Mobile monitoring system Monitoring systems Monitoring/Environmental Analysis Observatories Physics of the oceans Seawater - analysis Sensors Stratification Studies Water column Water currents Water pollution Water quality Water quality control |
title | mobile monitoring system to understand the processes controlling episodic events in Corpus Christi Bay |
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