• DocumentCode
    529697
  • Title

    Notice of Retraction
    Prediction for Changing of Sea Level near Lingang New City in Shanghai

  • Author

    Yi Zheng ; Jing Wang

  • Author_Institution
    Inf. Coll., Shanghai Ocean Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    28-31 Aug. 2010
  • Firstpage
    146
  • Lastpage
    149
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    To predict Changing of Sea Level near Lingang New City in Shanghai, a model for global sea-level rise was established firstly and calculated with Maple. It is showed: the global sea level rise rate in 2009 is 2.68mm/a. The height and rate of global sea-level rise will be about 9.11cm and 3.22mm/a in 2020. Based on the study and the actual land subsidence in Shanghai Lingang New City, the rate of relative sea-level rise near Lingang New City is calculated to be 12.68mm/a in 2009. Then, through setting of the extrapolation prediction model with linear trend term and a significant cycle of tidal, the rise rate of average sea-level near Lingang New City was predicted. The result showed: it will be 0.33mm/a in 2020. It will have a reference value for the prevention and mitigation of the disaster and the urban planning to Shanghai Lingang New City.
  • Keywords
    extrapolation; sea level; tides; AD 2009; China; Lingang New City; Maple; Shanghai; extrapolation prediction model; global sea level rise model; global sea level rise rate; land subsidence; linear trend term; relative sea level rise; sea level change prediction; tidal cycle; Atmospheric modeling; Cities and towns; Mathematical model; Ocean temperature; Predictive models; Sea measurements; monthly average water level; prediction mode; sea-level rise; storm surge; tidal harmonic analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8514-7
  • Type

    conf

  • DOI
    10.1109/IITA-GRS.2010.5603061
  • Filename
    5603061