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| 核电站附近海域漂流海藻的漂移路径数值模拟 |
| 关春江,王昆,田新华,徐鹏,陆宏亮,刘永健,赵行行,孔芳 |
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| (国家海洋环境监测中心，辽宁 大连 116023;辽宁省海洋水产科学研究院，辽宁 大连 116023;辽宁红沿河核电有限公司，辽宁 大连 116001;国家海洋局大连海洋环境监测中心站，辽宁 大连 116013;葫芦岛市生态环境保护服务中心，辽宁 葫芦岛 125000) |
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| 摘要: |
| 研究核电站附近海域漂流海藻的漂流路径对保障核电站冷源安全具有重要意义。本研究根据辽东湾东部海域漂流海藻的分布特征，构建该海域的二维水动力和粒子追踪数值预测、预报模型，基于近年实际观测的海流和潮位数据，对水动力模型进行验证，并根据2019年5月至8月释放北斗和GPS浮标采集数据，对该海域相同工况下的海藻漂移路径进行校验，均吻合良好。同时，对该海域7月大潮期，取水口附近海域的海藻堵塞风险进行了模拟分析，得到各不同工况下，漂流海藻到达取水口定义威胁区范围内的时间。结果表明，该数值模型能够对漂流海藻的漂移路径进行准确模拟，可为科学规避或有效减轻漂流海藻对核电站冷源取水口的堵塞风险提供技术支撑。 |
| 关键词: 海洋水文学 核电站 漂流海藻 水动力 漂移路径 数值模拟 |
| DOI：10.3969/J.ISSN.2095-4972.2022.02.007 |
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| 基金项目:国家重点研发计划资助项目（2017YFC1404404）；辽宁省科学技术基金资助项目（20180551183）；大连市科技创新基金资助项目（2021JJ13SN74） |
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| Numerical simulation of algae drifting path in the sea area near nuclear power plant based on buoy observation data |
| GUAN Chunjiang,WANG Kun,TIAN Xinhua,XU Peng,LU Hongliang,LIU Yongjian,ZHAO Hanghang,KONG Fang |
| (National Marine Environmental Monitoring Center, Dalian 116023, China;Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China;Liaoning Hongyanhe Power Co., Ltd., Dalian 116001, China;Dalian Marine Environment Monitoring Center of State Oceanic Administration,
Dalian 116013, China;Huludao Ecological Environment Protection Service Center, Huludao 125000, China) |
| Abstract: |
| It is of great significance to study the drift paths of floating algae in the sea area near the nuclear power plant for the security of cooling water intake. According to distribution characteristics of drifting algae in the Eastern Liaodong Bay, this paper builds two-dimensional hydrodynamic and particle tracking numerical prediction model for purpose. The hydrodynamic model is verified based on the current and tidal level data observed on actual observations in recent years. According to the data collected by Beidou and GPS buoys released from May to August 2019,the drifting path of algae in the sea area is verified under the same working condition with good results. At the same time,the risk of algae blockage in the sea area near the intake was simulated and analyzed during spring tide in July, and the time for algae drifting to the defined warning area off the water intake was obtained in different conditions. The results show that the numerical model can precisely simulate the drifting path of drifting algae, which can provide technical support to avoid or effectively reduce the risk of algae entrapment at the water intake of nuclear power plant. |
| Key words: marine hydrology nuclear power plant drifting algae hydrodynamic force drift path numerical simulation |