Analysis of the Distribution Characteristics of Jellyfish and Environmental Factors in the Seawater Intake Area of the Haiyang Nuclear Power Plant in China

文献类型： 外文期刊

第一作者： Song, Yunpeng

作者： Song, Yunpeng;Xiong, Minsi;Yang, Shenglong;Zhang, Heng;Shi, Yongchuang;Zhao, Guoqing;Wu, Zuli;Wu, Yumei;Song, Yunpeng;Song, Yunpeng;Shi, Yongchuang;Wu, Zuli;Wu, Yumei;Wang, Tiantian;Zhang, Xiumei;Liu, Xiaodan;Ying, Jie;Lin, Cankun

作者机构：

关键词： jellyfish; generalized additive model; spatiotemporal distribution; environmental factors; cold source blockade

期刊名称：BIOLOGY-BASEL （ 影响因子：3.6； 五年影响因子：3.8 ）

ISSN：

年卷期： 2024 年 13 卷 6 期

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收录情况： SCI

摘要： Simple Summary Against the background of frequent threats to the cooling water intake systems of nuclear power plants by marine organisms, this study utilized a Generalized Additive Model to investigate the correlation between jellyfish aggregations and environmental factors in the South China Sea region of the Shandong Peninsula. The results indicate that key variables affecting jellyfish resource density include year, longitude, latitude, sea surface temperature (SST), and sea surface salinity (SSS). Subsequently, the study also examined the impact of sea winds and currents on jellyfish resource density. The results suggest that the environmental conditions around marine nuclear power plants (SST, SSS, and ocean current) provide a favorable environment for jellyfish survival.Abstract 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 degrees C) and jellyfish density, as well as the impact of salinity (27.5-29 parts per thousand). 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.

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