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An efficient approach to forecast water levels owing to the interaction of tide and surge associated with a storm along the coast of Bangladesh.

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Title: An efficient approach to forecast water levels owing to the interaction of tide and surge associated with a storm along the coast of Bangladesh.
Authors: Paul, Gour Chandra1 pcgour2001@yahoo.com, Senthilkumar, Sukumar2,3,4 ssenthilkumar1974@yahoo.co.in, Pria, Rana5 ranapriapaul@yahoo.com
Source: Ocean Engineering. Jan2018, Vol. 148, p516-529. 14p.
Subjects: Algorithms, Numerical analysis, Problem solving, Analytic geometry, Cyclone forecasting
Abstract: Innovative formulation of new algorithm(s) is still a great challenge in scientific research community for solving any real time non-linear problems. Based on the above notion, in this study, the method of lines (MOL) in addition with the newly introduced embedded RKARMS(4,4) technique is adapted for numerical prediction of water levels owing to the interaction of tide and surge associated with a cyclone. To perform the desired task, initially a transformation is carried out to convert the vertically integrated shallow water equations in Cartesian coordinates with boundary conditions into ordinary differential equations (ODEs) of initial valued, which are solved by the RKARMS(4,4) technique to attain results. The model is specifically designed for the coast of Bangladesh. To incorporate coastal complexities along the region of interest with minimum cost, one way nested models are used. A stable tidal condition is generated applying the M 2 tidal constituent along the southern open boundary of the parent model. The newly designed model is applied to compute water levels due to combined effect of tide and surge associated with the recent severe storm AILA along the coast of Bangladesh. Simulated results show the new approach performs well and ensures conformity with observation. [ABSTRACT FROM AUTHOR]
Copyright of Ocean Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 127032189
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An efficient approach to forecast water levels owing to the interaction of tide and surge associated with a storm along the coast of Bangladesh.
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  Data: <searchLink fieldCode="JN" term="%22Ocean+Engineering%22">Ocean Engineering</searchLink>. Jan2018, Vol. 148, p516-529. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Analytic+geometry%22">Analytic geometry</searchLink><br /><searchLink fieldCode="DE" term="%22Cyclone+forecasting%22">Cyclone forecasting</searchLink>
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  Label: Abstract
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  Data: Innovative formulation of new algorithm(s) is still a great challenge in scientific research community for solving any real time non-linear problems. Based on the above notion, in this study, the method of lines (MOL) in addition with the newly introduced embedded RKARMS(4,4) technique is adapted for numerical prediction of water levels owing to the interaction of tide and surge associated with a cyclone. To perform the desired task, initially a transformation is carried out to convert the vertically integrated shallow water equations in Cartesian coordinates with boundary conditions into ordinary differential equations (ODEs) of initial valued, which are solved by the RKARMS(4,4) technique to attain results. The model is specifically designed for the coast of Bangladesh. To incorporate coastal complexities along the region of interest with minimum cost, one way nested models are used. A stable tidal condition is generated applying the M 2 tidal constituent along the southern open boundary of the parent model. The newly designed model is applied to compute water levels due to combined effect of tide and surge associated with the recent severe storm AILA along the coast of Bangladesh. Simulated results show the new approach performs well and ensures conformity with observation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Ocean Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.oceaneng.2017.10.031
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 516
    Subjects:
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Numerical analysis
        Type: general
      – SubjectFull: Problem solving
        Type: general
      – SubjectFull: Analytic geometry
        Type: general
      – SubjectFull: Cyclone forecasting
        Type: general
    Titles:
      – TitleFull: An efficient approach to forecast water levels owing to the interaction of tide and surge associated with a storm along the coast of Bangladesh.
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            NameFull: Paul, Gour Chandra
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            NameFull: Senthilkumar, Sukumar
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            NameFull: Pria, Rana
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            – D: 15
              M: 01
              Text: Jan2018
              Type: published
              Y: 2018
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