Numerical Simulation on the Diffusion of Alien Phytoplankton in Bohai Bay

Abstract

In order to investigate the motion feature of alien phytoplankton in the Bohai Bay area, this manuscript builds a two-dimensional tide hydrodynamic model coupled with a particle tracking model to simulate the alien phytoplankton movement trajectory and the diffusion processes with different specific growth rates in three major ports of Bohai Bay (Caofeidian port, Tianjin port, and Huanghua port). The results show that the movement of alien phytoplankton is mainly affected by the tidal circulation near the port, and the diffusion trend is basically consistent with the residual flow in Bohai Bay. The distribution density of alien phytoplankton is directly affected by the specific growth rate of the population and is positively related to specific growth rate. The released alien phytoplankton in the three major ports are all concentrated around the ports area. The largest distribution density is in Tianjin port, and the possibility of red tide disasters is also greatest here compared with the other two major ports. It is necessary to strengthen the monitoring of alien organisms in the port area and actively prevent alien phytoplankton from entering Bohai Bay through ship ballast water.

Simulation of red tide drift-diffusion process in the Pearl River Estuary and its response to the environment

“…Based on the establishment of hydrodynamic model, through understanding the characteristics of different algae, a perfect physical and biological coupling algae model is gradually established to simulate its source, growth, movement, extinction and other processes. Based on the particle tracking models applied to large sea areas or harbors, such as the growth and drift model of the Yellow Sea green tide (Gao et al, 2021), the migration and diffusion model of the Qinhuangdao red tide (Kuang et al, 2016), the diffusion model of alien phytoplankton in the Bohai Bay (Zhang et al, 2021), and the Alexandrium catenella red tide in the Gulf of Maine (Li et al, 2020b), this study also used the particle tracking model to study the small-scale red tide that occurred in the PRE on the basis of ignoring the biological process. The model can well reproduce the development process of the red tide in the PRE, and can make up for the shortage of remote sensing data and measured data.…”

“…Without considering the process of algae generation and extinction, Soto et al (2018) and Nogueira et al (2022) used Lagrangian particle tracking model to explore the bloom dynamics in coastal water. Zhang et al (2021) used the Lagrangian particle tracking model combined with the biological characteristics to analyze the distribution of alien phytoplankton.…”

Abnormal surges and the effects of the Seto Inland Sea circulation in Hiroshima Bay, Japan

“…Furthermore, the average net flux can be interpreted as a residual current. The residual current is critical for determining the movement of floating materials, such as river-borne materials (microplastics, driftwood, and minerals) (Dou et al, 2014;Sagawa et al, 2018;Jeong et al, 2022) and phytoplankton (Zhang et al, 2021). It plays an even more important role in semienclosed bays because the current determines the residence time, a period taken to wash pollutants flowing in the bay off to the open ocean (Patgaonkar et al, 2012;Kwak and Cho, 2020).…”