• DocumentCode
    3056245
  • Title

    Observational analysis of the Hooghly Estuarine features and tidal effects using a high resolution biophysical model

  • Author

    Deb, Sujay ; Chakraborty, Arpan

  • Author_Institution
    Centre for Oceans, Rivers, Atmos. & Land Sci. (CORAL, Indian Inst. of Technol. Kharagpur, Kharagpur, India
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    1587
  • Lastpage
    1590
  • Abstract
    Estuarine biogeochemistry plays a key role in the cycling of biological and chemical parameters. In the present study, a first attempt has been made towards the coupling of a realistic three-dimensional estuarine circulation model with biophysical model in the Hooghly Estuary (21°36´-22°16´N and 87°42´-88°15´E) to simulate and capture the varying effect of plankton biomass with response to river discharge and tidal effect. In-situ observational data for physico-chemical and biological parameters were collected from different sampling stations during 2003-2010 are assimilated using successive over relaxation method (SOR) and multiscale objective analysis (OA) and incorporated in Regional Ocean Modeling System (ROMS) to setup a higher resolution both in horizontal (0.5 km × 0.5 km) and vertical (8 vertical levels) biogeochemical model. Strong tidal influence with sliding growth of phytoplankton (less than 1mg/l) towards south and low dissolved oxygen (DO) is low (5.27 mg/l) in the Haldi River mouth also affects water quality.
  • Keywords
    ocean chemistry; tides; AD 2003 to 2010; Haldi river mouth; Hooghly estuarine features; Regional Ocean Modeling System; biogeochemical model; biological parameter; biological parameter cycling; biophysical model; chemical parameter cycling; estuarine biogeochemistry; estuarine circulation model; multiscale objective analysis; observational analysis; physico-chemical parameter; phytoplankton growth; plankton biomass effect; river discharge; successive over relaxation method; tidal effect; tidal effects; water quality; Analytical models; Biological system modeling; Data models; Mathematical model; Rivers; Sea measurements; Tides; Bio-physical; DO; Hooghly Estuary; phytoplankton; tides;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723093
  • Filename
    6723093