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引用本文:薛宗璞,朱伟,柏松,陈明,陈鑫琪,刘军,吕艺.太湖微囊藻漂移-聚集规律——基于风与光共同作用的模拟.湖泊科学,2024,36(6):1660-1671. DOI:10.18307/2024.0613
Xue Zongpu,Zhu Wei,Bai Song,Chen Ming,Chen Xinqi,Liu Jun,Lv Yi.The migration-aggregation patterns of Microcystis in Lake Taihu—Based on the combined effects of wind and light. J. Lake Sci.2024,36(6):1660-1671. DOI:10.18307/2024.0613
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太湖微囊藻漂移-聚集规律——基于风与光共同作用的模拟
薛宗璞1, 朱伟2, 柏松1, 陈明1, 陈鑫琪1, 刘军1, 吕艺3
1.江苏省南京环境监测中心, 南京 210098;2.河海大学水科学研究院, 南京 210098;3.河海大学环境学院, 南京 210098
摘要:
针对影响微囊藻在太湖中水平迁移-聚集-形成水华规律的介观机理尚未揭示的问题,在实测水动力、微囊藻生物量的基础上,建立了考虑风与光共同作用的微囊藻迁移IBM模型。在通过实测数据率定后,对2017年多次发生的水华面积扩大过程进行了模拟。结果表明:风扰动下的微囊藻垂向分布决定了其水平迁移速度,越接近水面,微囊藻的水平迁移速度越快。太湖受到风生流的主导,微囊藻存在“低风下表层慢速迁移、适宜风下表层快速迁移、中下层始终慢速迁移”的3种水平迁移模式。在这3种水平迁移模式下产生了一种长期的“水平迁移累积”,也就是微囊藻向下风向湖湾漂移得快,从湖湾向外迁移得慢,其差值产生了微囊藻在下风向湖湾部聚集的效应。
关键词:  太湖  蓝藻水华  微囊藻  水平迁移  风生流  数值模拟
DOI:10.18307/2024.0613
分类号:
基金项目:国家重点研发计划项目(2022YFC3204400)和江苏省水利科技项目(2021009)联合资助。
The migration-aggregation patterns of Microcystis in Lake Taihu—Based on the combined effects of wind and light
Xue Zongpu1, Zhu Wei2, Bai Song1, Chen Ming1, Chen Xinqi1, Liu Jun1, Lv Yi3
1.Jiangsu Nanjing Environmental Monitoring Center, Nanjing 210098, P. R. China;2.Insititute of Water Science and Technology, Hohai University, Nanjing 210098, P. R. China;3.College of Environment, Hohai University, Nanjing 210098, P. R. China
Abstract:
This study aims to investigate the unexplored mesoscale mechanism that affects the horizontal migration and aggregation of Microcystis in Lake Taihu during algal bloom formation. Based on field measurements of water dynamics and Microcystis biomass, an IBM model(individual-based model) that considered the combined effects of wind and light on Microcystis migration was developed. The model was calibrated using various field data, and was used to simulate the process of algal bloom expansion that occurred multiple times in 2017. The results indicated that the vertical distribution of Microcystis under wind disturbance determined its horizontal migration speed, with closer proximity to the water surface resulting in faster migration speeds. In Lake Taihu, which was dominated by wind-driven currents, Microcystis exhibited three distinct horizontal migration patterns: slow migration of the upper layer under low winds, rapid migration of the upper layer under favorable winds, and consistent slow migration of the middle and lower layers. These patterns lead to long-term “horizontal migration accumulation” where Microcystis drifted faster towards the downwind bays and migrated slower out of them. This difference in migration rates resulted in a concentration effect of Microcystis in the downwind bay. This study provides important theoretical insights for a deeper understanding of the formation mechanism and prediction of Microcystis blooms in Lake Taihu, a crucial topic in environmental science and ecology.
Key words:  Lake Taihu  algal bloom  Microcystis  horizontal migration  wind-driven current  numerical simulation
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