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2026, 02, v.42 97-109
烟台局地性绿潮环境驱动初探
基金项目(Foundation): 自然资源部莱州湾海洋生态系统野外科学观测研究站和山东省海洋生态修复重点实验室联合开放课题(SAL202415); 烟台市科技创新发展计划(政策引导类)项目(2024YD096)
邮箱(Email): 13705351369@163.com;
DOI: 10.20062/j.cnki.CN37-1453/N.2026.02.001
摘要:

针对烟台套子湾和四十里湾近岸海域周期性暴发的局地性绿潮,通过2024年4—8月进行的现场调查与实验室分析,研究探讨其环境驱动条件。研究结果显示:1)绿潮优势种为石莼属(Ulva sp.)管状绿藻和刚毛藻属(Cladophora sp.)绿藻,暴发区域集中于海湾湾顶浅水区(水深h≤2 m),与河流入海口及砂质岸线空间分布高度耦合,深水区(5 m≤h≤10 m)未见绿潮;2)套子湾和四十里湾浅水区与深水区的盐度、海水营养状态质量指数存在显著性差异(P<0.05),2处海湾的浅水区整体处于富营养化状态,而深水区整体处于贫营养化状态;3)暴发区绿藻生物量与盐度呈极显著负相关(P<0.01),与海水营养状态质量指数、表层水温显著正相关(P<0.05),绿潮暴发期与汛期同步,海水低盐-富营养化环境、砂质岸线底质条件是潜在的驱动因子;4)盐度、海水营养状态质量指数和水温可纳入局地性绿潮预警指标体系。通过对海湾地区局地性绿潮的分布特征、驱动因子和预警指标的研究,为局地性绿潮预警监测和防控处置提供科学依据。

Abstract:

The environmental driving conditions of periodically recurring localized green tides in the coastal waters of Taozi Bay and Sishili Bay in Yantai are investigated through field surveys and laboratory analyses conducted from April to August, 2024.The results are as follows.1) The dominant species of green tides were identified as Ulva sp. and Cladophora sp..Outbreaks were concentrated in shallow nearshore areas(water depth h≤2 m) at bay heads, exhibiting strong spatial correlation with river estuaries and sandy shorelines, while no green tide occurrence was observed in deeper waters(5 m≤h≤10 m).2) Significant differences(P<0.05) in salinity and seawater nutrient quality index were detected between shallow and deep water zones of both bays.The shallow zones exhibited eutrophic conditions, whereas deep zones maintained oligotrophic status.3) Green algal biomass in outbreak areas demonstrated a highly significant negative correlation with salinity(P<0.01),and significant positive correlations with seawater nutrient quality index and surface water temperature(P<0.05).The outbreak period of the localized green tides is synchronized with the flood season, low salinity-seawater eutrophication and sandy-shore substrate conditions constitute potential driving factors.4) The salinity, seawater nutrient quality index and surface water temperature can be incorporated into early warning systems for localized green tides.Through the study on the distribution characteristics, driving factors, and early warning indicators of localized green tides in gulf areas, a scientific basis can be provided for their early warning, monitoring, prevention, control and management.

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基本信息:

DOI:10.20062/j.cnki.CN37-1453/N.2026.02.001

中图分类号:X55

引用信息:

[1]王文君,王东亮,刘丽娟,等.烟台局地性绿潮环境驱动初探[J].鲁东大学学报(自然科学版),2026,42(02):97-109.DOI:10.20062/j.cnki.CN37-1453/N.2026.02.001.

基金信息:

自然资源部莱州湾海洋生态系统野外科学观测研究站和山东省海洋生态修复重点实验室联合开放课题(SAL202415); 烟台市科技创新发展计划(政策引导类)项目(2024YD096)

发布时间:

2026-02-05

出版时间:

2026-02-05

网络发布时间:

2026-02-05

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