Title :
Simulation of plankton dynamics in the Hooghly Estuary using a high resolution biophysical model
Author :
Deb, Saswati ; Chakraborty, Arun
Author_Institution :
Centre for Oceans, Rivers, Atmos. & Land Sci. (CORAL), Indian Inst. of Technol. Kharagpur, Kharagpur, India
Abstract :
A first attempt is made towards the coupling of a three-dimensional circulation model with a four compartment bio-physical model to simulate the regional distribution of plankton biomass and productivity in the Hooghly Estuary (approximately 21°36´-22°16´N and 87°42´-88°15´E) and to gain insights into the key physical and biological processes that control the plankton dynamics in the Estuary. In-situ observational data for physical and biological parameters were collected from Calcutta University during 2010 are assimilated using multiscale objective analysis (OA) and incorporated in Regional Ocean Modeling System (ROMS) to develop a four-compartment (Nutrient (N), Phytoplankton (P), Zooplankton (Z) and Detritus (D)) bio-physical model. The sensitivity of chlorophyll a (chl-a) biomass on the changing effect of salinity is dominating and a drastic decrease in chl_a (less than 2 mg/m3) has been observed in Haldia Station where the influence of high nitrate (above 32 ug/l) is predominant and thus effects water quality.
Keywords :
microorganisms; ocean chemistry; oceanographic techniques; Calcutta University; Haldia Station; Hooghly Estuary; Regional Ocean Modeling System; Zooplankton; biological parameters; biological process; chlorophyll sensitivity; detritus biophysical model; high resolution biophysical model; in-situ observational data; multiscale objective analysis; nutrient biophysical model; physical parameters; physical process; plankton biomass; plankton dynamics; salinity effect; three-dimensional circulation model; water quality; Analytical models; Biological system modeling; Data models; Mathematical model; Ocean temperature; Rivers; Bio-physical; Hooghly Estuary; chl_a; nutrients; salinity;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350952