Home Journals Articles Updates About
CN
image
收藏切换
Tracking and forecasting method and numerical simulation of high-risk ice in cold wave weather
收藏切换
Na Zhang1, Shengkai Xu1, Ning Xu2, *, Litao Wang1, Anliang Wang3
Haiyang Xuebao | 2023, 45(2) : 110 - 117
Less
收藏切换
Haiyang Xuebao | 2023, 45(2): 110-117
• Article •
Tracking and forecasting method and numerical simulation of high-risk ice in cold wave weather
Full
Na Zhang1, Shengkai Xu1, Ning Xu2, *, Litao Wang1, Anliang Wang3
Affiliations
  • 1Tianjin Key Laboratory of Soft Soil Characteristics & Engineering Environment, Tianjin Chengjian University, Tianjin 300384, China
  • 2National Marine Environmental Monitoring Center, Dalian 116023, China
  • 3National Marine Environmental Forecasting Center, Beijing 100081, China
Published: 2023-02-01 doi: 10.12284/hyxb2023015
Outline
收藏切换

To provide technical support for sea ice environmental monitoring and dynamic risk early warning in the sea area of the proposed, under construction and built cold source water intake project in cold regions, a Lagrangian particle tracking prediction model under the sea ice ocean coupling condition is constructed in this paper. Taking the water intake of a nuclear power station in the Liaodong Bay as an example, the migration trajectories of high-risk ice blocks in 24 h, 48 h and 72 h under cold wave weather and the probability of entering the water intake are simulated and discussed. The results show that since the direction of the water intake is almost perpendicular to the flow direction and wind direction, less than 6% of the 1200 high-risk ice particles randomly released outside the water intake enter the water intake. It is found that most of the particles come from within 300 m near the water intake by identifying the particle color in different regions. The results of sensitivity analysis showed that when the number of released particles increased to 5 times, the conclusion remained unchanged. This study provides a new method for safety early warning of cold source water intake.

Liaodong Bay  /  cold source water intake  /  sea ice  /  coupling model  /  Lagrangian particle tracking model
张娜, 徐圣凯, 许宁, 王立涛, 王安良. 寒潮天气下高风险冰块追踪预测方法及数值模拟. 海洋学报, 2023 , 45 (2) : 110 -117 . DOI: 10.12284/hyxb2023015
Na Zhang, Shengkai Xu, Ning Xu, Litao Wang, Anliang Wang. Tracking and forecasting method and numerical simulation of high-risk ice in cold wave weather[J]. Haiyang Xuebao, 2023 , 45 (2) : 110 -117 . DOI: 10.12284/hyxb2023015
Appendix
Less
Year 2023 volume 45 Issue 2
605
283
Cite this Article
BibTeX
Article Info
doi: 10.12284/hyxb2023015
  • Receive Date：2022-08-08
  • Online Date：2025-12-26
  • Published：2023-02-01
Article Data
Affiliations
History
  • Received：2022-08-08
  • Revised：2022-09-04
Funding
Affiliations
    1Tianjin Key Laboratory of Soft Soil Characteristics & Engineering Environment, Tianjin Chengjian University, Tianjin 300384, China
    2National Marine Environmental Monitoring Center, Dalian 116023, China
    3National Marine Environmental Forecasting Center, Beijing 100081, China
References
Share
https://castjournals.cast.org.cn/joweb/hyxb/EN/10.12284/hyxb2023015
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House