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    Characterizing Vessel Traffic Using the AIS: A Case Study in Florida's Largest Estuary

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2020:;Volume ( 146 ):;issue: 005
    Author:
    Steven D. Meyers
    ,
    Mark E. Luther
    ,
    Stephanie Ringuet
    ,
    Gary Raulerson
    ,
    Ed Sherwood
    ,
    Katie Conrad
    ,
    Gianfranco Basili
    DOI: 10.1061/(ASCE)WW.1943-5460.0000592
    Publisher: ASCE
    Abstract: Tampa Bay, FL, is a large, ecologically rich estuary that hosts one of the largest commercial ports in Florida. Automatic identification system (AIS) records from 2015 to 2017 were used to determine the number, size, speed, type, and transits of vessels in Tampa Bay. The AIS vessel types were grouped into 10 general classes based on function. The cargo and tanker classes had the highest number of unique vessels transiting the estuary. The tug class had the highest number of individual transits, followed by cargo class. The most common vessel lengths were 165–200 m. Typical drafts were 9–11 m, and ship speeds were almost all <10 m/s. Froude numbers calculated from these data indicated that ships were generally underway in displacement mode. Overall, <0.1% of the AIS records reported speeds >10 m/s. These were identified as smaller passenger and recreational vessels operating in planing mode. The AIS navigational status and speed were often inconsistent, therefore, the combination of speed and duration was used to define individual transits. The average tidal dependency (TD) parameter for all vessels transiting into the bay was −0.02, and 0.10 for combined cargo and tanker vessels. Proper evaluation of the TD required inclusion of the phase lag between the entrance position and the tide gauge.
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      Characterizing Vessel Traffic Using the AIS: A Case Study in Florida's Largest Estuary

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4267969
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    • Journal of Waterway, Port, Coastal, and Ocean Engineering

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    contributor authorSteven D. Meyers
    contributor authorMark E. Luther
    contributor authorStephanie Ringuet
    contributor authorGary Raulerson
    contributor authorEd Sherwood
    contributor authorKatie Conrad
    contributor authorGianfranco Basili
    date accessioned2022-01-30T21:18:17Z
    date available2022-01-30T21:18:17Z
    date issued9/1/2020 12:00:00 AM
    identifier other%28ASCE%29WW.1943-5460.0000592.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267969
    description abstractTampa Bay, FL, is a large, ecologically rich estuary that hosts one of the largest commercial ports in Florida. Automatic identification system (AIS) records from 2015 to 2017 were used to determine the number, size, speed, type, and transits of vessels in Tampa Bay. The AIS vessel types were grouped into 10 general classes based on function. The cargo and tanker classes had the highest number of unique vessels transiting the estuary. The tug class had the highest number of individual transits, followed by cargo class. The most common vessel lengths were 165–200 m. Typical drafts were 9–11 m, and ship speeds were almost all <10 m/s. Froude numbers calculated from these data indicated that ships were generally underway in displacement mode. Overall, <0.1% of the AIS records reported speeds >10 m/s. These were identified as smaller passenger and recreational vessels operating in planing mode. The AIS navigational status and speed were often inconsistent, therefore, the combination of speed and duration was used to define individual transits. The average tidal dependency (TD) parameter for all vessels transiting into the bay was −0.02, and 0.10 for combined cargo and tanker vessels. Proper evaluation of the TD required inclusion of the phase lag between the entrance position and the tide gauge.
    publisherASCE
    titleCharacterizing Vessel Traffic Using the AIS: A Case Study in Florida's Largest Estuary
    typeJournal Paper
    journal volume146
    journal issue5
    journal titleJournal of Waterway, Port, Coastal, and Ocean Engineering
    identifier doi10.1061/(ASCE)WW.1943-5460.0000592
    page12
    treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2020:;Volume ( 146 ):;issue: 005
    contenttypeFulltext
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