Analysis of the Distribution Characteristics of Jellyfish and Environmental Factors in the Seawater Intake Area of the Haiyang Nuclear Power Plant in China
Yunpeng Song,
Tiantian Wang,
Minsi Xiong,
Shenglong Yang,
Heng Zhang,
Jie Ying,
Yongchuang Shi,
Guoqing Zhao,
Xiumei Zhang,
Xiaodan Liu,
Cankun Lin,
Zuli Wu,
Yumei Wu
Affiliations
Yunpeng Song
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Tiantian Wang
Yantai Marine Economic Research Institute, Yantai 264003, China
Minsi Xiong
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Shenglong Yang
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Heng Zhang
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Jie Ying
Zhoushan Yuanjie Aquatic Seed Farm, Zhoushan 316111, China
Yongchuang Shi
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Guoqing Zhao
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Xiumei Zhang
Yantai Marine Economic Research Institute, Yantai 264003, China
Xiaodan Liu
Yantai Marine Economic Research Institute, Yantai 264003, China
Cankun Lin
School of Marine Information Engineering, Jimei University, Xiamen 361021, China
Zuli Wu
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Yumei Wu
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
In recent years, there have been frequent jellyfish outbreaks in Chinese coastal waters, significantly impacting the structure, functionality, safety, and economy of nuclear power plant cooling water intake and nearby ecosystems. Therefore, this study focuses on jellyfish outbreaks in Chinese coastal waters, particularly near the Shandong Peninsula. By analyzing jellyfish abundance data, a Generalized Additive Model integrating environmental factors reveals that temperature and salinity greatly influence jellyfish density. The results show variations in jellyfish density among years, with higher densities in coastal areas. The model explains 42.2% of the variance, highlighting the positive correlation between temperature (20–26 °C) and jellyfish density, as well as the impact of salinity (27.5–29‰). Additionally, ocean currents play a significant role in nearshore jellyfish aggregation, with a correlation between ocean currents and site coordinates. This study aims to investigate the relationship between jellyfish blooms and environmental factors. The results obtained from the study provide data support for the prevention and control of blockages in nuclear power plant cooling systems, and provide a data basis for the implementation of monitoring measures in nuclear power plants.
