沿岸海域データベース構築に関する基礎的研究 第4報 : AR成分と空間的分布特性の把握に関する検討  [in Japanese] Mathematical Model for developing Data-Base System of Environments in Coastal Sea Area 4th Report : Spatial Distribution and AR Component of Water Quality Data  [in Japanese]

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Author(s)

Abstract

The authors have discussed space-time descriptions of seawater qualities in coastal sea area in Osaka bay in the previous papers introducing the Auto-Regressive mathematical model with seasonal adjustment considerations. They showed that the seasonal adjustment introduced in the mathematical model makes it possible to estimate the trend and seasonal components of seawater qualities from data observed for many years. They also showed that the AR-components of short-period recurrent phenomena fluctuate randomly like noise components. To solve the problem, they introduced a probabilistic approach to-the AR-components, and they showed that it is possible to treat the AR-components with the noise components as random variables In the present paper, they discuss more precisely about the understanding and treatment of AR-components that are not described properly due to the effect of time interval of observations, and about the possibility of the space-time assimilation of measured data introducing a 2-dimensional interpolation technique. They show that the AR-components have the same probabilistic characteristics as that of noise components in the analysis model, and that 2-dimensional interpolation is applicable to the space-time assimilation of measured data.

Journal

  • Journal of the Kansai Society of Naval Architects, Japan

    Journal of the Kansai Society of Naval Architects, Japan 2005(243), 137-144, 2005

    THE JAPAN SOCIETY OF NAVAL ARCHITECTS AND OCEAN ENGINEERS

References:  5

Codes

  • NII Article ID (NAID)
    110003880273
  • NII NACSIS-CAT ID (NCID)
    AA11546894
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    1346-7727
  • NDL Article ID
    7277093
  • NDL Source Classification
    ZN24(科学技術--運輸工学--船舶)
  • NDL Call No.
    Z16-388
  • Data Source
    CJP  NDL  NII-ELS  J-STAGE 
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