• DocumentCode
    2709666
  • Title

    Monitoring transport of suspended sediment in the Nanhui nearshore integrating remote sensing images with hydrodynamic model

  • Author

    Kuang, Runyuan ; Zhou, Yunxuan ; Zhu, Yuanfeng

  • Author_Institution
    Sch. of Archit. & Surveying & Mapping Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Due to river runoff flow and tidal flow, coastal waters are often characteristic of high concentration of suspended sediment. In this paper, by using MODIS images of 250 m resolution and hydrodynamic model and in site observation, the author analyze the distribution characteristics of suspended sediment and hydrodynamics mechanism. Relatively high Suspended sediment concentration distribute in the alongshore and south and north of Nanhui neareshore. During the flood tide period, distribution range of high suspended sediment concentration is northward moved. During ebb tide period, the zone of turbidity maximum is shown near the south of Nanhui nearshore. Based on terrain data analyses in 1999, 2003 and 2008, altitude value of underwater terrain in most area of Nanhui nearshore is increase. Most area of Nanhui nearshore is depositing. Momaosha mudflat in the north of Nanhui nearshore is extending southeastward. South of the Nanhui subaqueous beach is extending slowly southeastward and southward.
  • Keywords
    oceanographic regions; remote sensing; sediments; tides; AD 1999; AD 2003; AD 2008; China; MODIS image; Momaosha mudflat; Nanhui nearshore; coastal water; hydrodynamic model; remote sensing images; river runoff flow; suspended sediment transport; tidal flow; Floods; Hydrodynamics; MODIS; Remote sensing; Sea measurements; Sediments; Tides; Yangtze estuary; hydrodynamic model; remote sensing images; suspended sediment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980895
  • Filename
    5980895