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A Model Study on Dynamical Processes of Phytoplankton in Laizhou Bay
作者姓名:YU Lanlan  YANG Bo  JIANG Wensheng  and LI Keqiang
基金项目:the funding support by the National Basic Research Program of China(973-2010CB428900);the State Ocean Administration of China ‘908’ Foundation(No.908-02-02-03)
摘    要:


A model study on dynamical processes of phytoplankton in Laizhou Bay
YU Lanlan,YANG Bo,JIANG Wensheng,and LI Keqiang.A Model Study on Dynamical Processes of Phytoplankton in Laizhou Bay[J].Journal of Ocean University of China,2014,13(1):23-31.
Authors:Lanlan Yu  Bo Yang  Wensheng Jiang  Keqiang Li
Institution:1. Physical Oceanography Laboratory, Ocean University of China, Qingdao, 266100, P. R. China
2. College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, P. R. China
Abstract:A three-dimensional ecosystem model, using a PIC (Particle-In-Cell) method, is developed to reproduce the annual cycle and seasonal variation of nutrients and phytoplankton biomass in Laizhou Bay. Eight state variables, i.e., DIN (dissolved inorganic nitrogen), phosphate, DON (dissolved organic nitrogen), DOP (dissolved organic phosphorus), COD (chemical oxygen demand), chlorophyll-a (Chl-a), detritus and the zooplankton biomass, are included in the model. The model successfully reproduces the observed temporal and spatial variations of nutrients and Chl-a biomass distributions in the bay. The nutrient concentrations are at high level in winter and at low level in summer. Double-peak structure of the phytoplankton (PPT) biomass exists in Laizhou Bay, corresponding to a spring and an autumn bloom respectively. Several numerical experiments are carried out to examine the nutrient limitation, and the importance of the discharges of the Yellow River and Xiaoqinghe River. Both DIN limitation and phosphate limitation exist in some areas of the bay, with the former being more significant than the latter. The Yellow River and Xiaoqinghe River are the main pollution sources of nutrients in Laizhou Bay. During the flood season, the algal growth is inhibited in the bay with the Yellow River discharges being excluded in the experiment, while in spring, the algal growth is enhanced with the Xiaoqinghe River excluded.
Keywords:phytoplankton biomass  D ecosystem model  nutrients  Laizhou Bay
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