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首页> 外文期刊>Journal of geographical sciences >Estimation of ocean primary productivity and its spatio-temporal variation mechanism for East China Sea based on VGPM model
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Estimation of ocean primary productivity and its spatio-temporal variation mechanism for East China Sea based on VGPM model

机译：基于VGPM模型的东海海洋初级生产力估算及其时空变化机制

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摘要

According to calculation results of ocean chlorophyll concentration based on SeaWiFS data by SeaBAM model and synchronous ship-measured data, this research set up an improved model for Case Ⅰ and Case Ⅱ water bodies respectively. The monthly chlorophyll distribution in the East China Sea in 1998 was obtained from this improved model on calculation results of SeaBAM. The euphotic depth distribution in 1998 in the East China Sea is calculated by using remote sensing data of K_(490) from SeaWiFS according to the relation between the euphotic depth and the oceanic diffuse attenuation coefficient. With data of ocean chlorophyll concentration, euphotic depth, ocean surface photosynthetic available radiation (PAR), daily photoperiod and optimal rate of daily carbon fixation within a water column, the monthly and annual primary productivity spatio-temporal distributions in the East China Sea in 1998 were obtained based on VGPM model. Based on analysis of those distributions, the conclusion can be drawn that there is a clear bimodality character of primary productivity in the monthly distribution in the East China Sea. In detail, the monthly distribution of primary productivity stays the lowest level in winter and rises rapidly to the peak in spring. It gets down a little in summer, and gets up a little in autumn. The daily average of primary productivity in the whole East China Sea is 560.03 mg/m~2/d, which is far higher than the average of subtropical ocean areas. The annual average of primary productivity is 236.95 g/m~2/a. The research on the seasonal variety mechanism of primary productivity shows that several factors that affect the spatio-temporal distribution may include the chlorophyll concentration distribution, temperature condition, the Yangtze River diluted water variety, the euphotic depth, ocean current variety, etc. But the main influencing factors may be different in each local sea area.
机译：根据SeaBAM模型和同步测船数据基于SeaWiFS数据的海洋叶绿素浓度计算结果，分别建立了案例Ⅰ和案例Ⅱ水体的改进模型。根据这个改进的模型，根据SeaBAM的计算结果，获得了1998年东海月叶绿素的分布。根据常温深度与海洋扩散衰减系数之间的关系，利用SeaWiFS的K_（490）遥感数据，计算了1998年东海常温深度分布。利用1998年东海中海洋叶绿素浓度，富营养深度，海洋表面光合有效辐射（PAR），每日光周期和每日固碳最佳速率的数据，以及东海月度和年度初级生产力的时空分布是基于VGPM模型获得的。通过对这些分布的分析，可以得出结论，东海月度分布中初级生产力具有明显的双峰特征。详细来说，冬季的每月基本生产力分布保持在最低水平，而在春季则迅速上升至高峰。夏天会下降，秋天会上升。整个东海日平均初级生产力为560.03 mg / m〜2 / d，远高于亚热带海洋地区的平均水平。年平均初级生产力为236.95 g / m〜2 / a。对一次生产力的季节变化机制的研究表明，影响时空分布的几个因素可能包括叶绿素浓度分布，温度条件，长江稀释水种类，富营养深度，洋流种类等。每个地方海域的主要影响因素可能不同。

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