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Marine and Freshwater Research Marine and Freshwater Research Society
Advances in the aquatic sciences
RESEARCH ARTICLE

Early warning and monitoring of the safety risk of coastal nuclear power plant cold source under the stress from Phaeocystis globosa blooms

Jialin Ni https://orcid.org/0000-0002-4951-6687 A B , Hongyi Chen C , Li Dai C , Jianda Ji A , Jing Lin A and Tao Yu A B *
+ Author Affiliations
- Author Affiliations

A Laboratory of Marine Ecological Environment Early Warning and monitoring, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, PR China.

B Laoshan Laboratory, Qingdao, 266237, PR China.

C China Nuclear Power Engineering Corporation, Beijing, 100840, PR China.

* Correspondence to: 826827807@qq.com

Handling Editor: Yong Xiao

Marine and Freshwater Research 75, MF23179 https://doi.org/10.1071/MF23179
Submitted: 26 September 2023  Accepted: 16 December 2023  Published: 29 January 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

In recent years, Phaeocystis globosa has become a typical red tide species in the Beibu Gulf, posing a safety hazard to the cold-water intake system of the Guangxi Fangchenggang Nuclear Power Plant.

Aims

To establish an effective early risk-warning monitoring and ensure the safety of nuclear power plant cold-water intakes.

Methods

In this study, a multifactor and multilevel early risk-warning monitoring system was established using the early warning idea of ‘risk grading’.

Key results

The results showed that this method can analyse the influence trend of marine-environment changes on the growth of P. globosa and improve the timeliness of early warning and forecasting.

Conclusions

The method established in this paper can effectively guide coastal nuclear power enterprises to conduct early risk warning and monitoring of P. globosa and improve the accuracy of early warning and forecasting.

Implications

The methed is of great significance to coastal nuclear power enterprises dealing with red tide disasters caused by P. globosa blooms.

Keywords: accident life-cycle theory, cold-source safety, nuclear power plant, Phaeocystis globosa, risk grading, risk warning, risk warning and monitoring system, the early warning monitoring indices.

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