| 厦门湾浮游生物量和营养盐含量时空分布的数值模拟研究 |
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| 引用本文： | 颜秀花,蔡榕硕.厦门湾浮游生物量和营养盐含量时空分布的数值模拟研究[J].台湾海峡,2010,29(3):332-341. |
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| 作者姓名： | 颜秀花 蔡榕硕 |
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| 作者单位： | 国家海洋局第三海洋研究所、国家海洋局海洋-大气化学与全球变化重点实验室,福建,厦门,361005 |
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| 基金项目： | 国家908专项资金资助项目，国家海洋局第三海洋研究所基本科研业务费专项资助项目 |
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| 摘 要： | 初步构建了一个以浮游植物（P）、浮游动物（Z）和营养盐（N,包括无机氮和活性磷酸盐）为生态变量的NPZ简单生态模型,并通过与POM三维水动力模型的耦合,建立了三维浮游生态动力学模型,开展了厦门湾全海域三维浮游生态系统时空变化的模拟研究.结果显示,厦门海域浮游动植物有明显的季节变化,春、夏季生物量最高,秋、冬季较低,但不同的海区达到峰值的季节并不相同;活性磷酸盐含量冬季最高,春季最低,与浮游植物量值有较明显的反位相关系,表明厦门湾海域浮游植物的生长主要受活性磷酸盐含量限制.模拟结果符合历史观测特征,且模拟值与实测值量级比较吻合,因此所建立的三维浮游生态动力学模型可用于描述厦门湾海域浮游生态的时空变化特征.
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| 关 键 词： | 物理海洋学 厦门湾 浮游生物 生态动力学模型 |
Study on numerical simulation of the spatial and temporal variations in plankton biomass and nutrients Contents in Xiamen Bay |
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| YAN Xiu-hua,CAI Rong-shuo.Study on numerical simulation of the spatial and temporal variations in plankton biomass and nutrients Contents in Xiamen Bay[J].Journal of Oceanography In Taiwan Strait,2010,29(3):332-341. |
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| Authors: | YAN Xiu-hua CAI Rong-shuo |
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| Institution: | (Key Lab of Global Change and Marine-Atmospheric Chemistry,Third Institute of Oceanography,SOA,Xiamen 361005,China) |
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| Abstract: | A simple NPZ biological model constructed using nutrients（N）,phytoplankton（P） and zooplankton（Z） as the state variables was coupled with a hydrodynamic model（POM） to establish a 3-D bio-physical model.Spatial and temporal variations in the plankton biomass in Xiamen Bay were simulated using the model.The results showed that both phytoplankton and zooplankton biomass have apparent seasonal variations,with high levels being observed in spring and summer,and low levels being observed in winter and autumn;however,the season during which the peak occurs differs among regions.The phosphate has a winter maximum and spring minimum,and it shows an inverse correlation with the phytoplankton biomass,which indicates that the phytoplankton growth is mainly limited by phosphate in Xiamen Bay.The results of the simulations were concordant with historical observations,and the simulated values remained within orders of magnitude of the measured data.Thus,this 3-D bio-physical model can reliably be used to describe spatial distributions and seasonal variations in biological variables in Xiamen Bay. |
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| Keywords: | physical oceanography Xiamen Bay phytoplankton bio-physical model |
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