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Partitioning participate absorption coefficient into contributions of phytoplankton and nonalgal particles: A case study in the northern South China Sea

机译:将参与吸收系数分配到浮游植物和非藻类颗粒的贡献中:以南海北部为例

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We measured the absorption coefficients of suspended particles (a_p(λ)) during three cruises from coastal waters to open ocean in the northern South China Sea (NSCS). The absorption contributions of phytoplankton (a_(ph)(λ)) and nonalgal particles (a_(NAP)(λ)) were determined using the methanol extraction method. Based on the dataset of about 360 samples, we examined the spectral relationships of the particle absorption coefficients. The results show that a_p(λ) spectra are well linearly correlated with a_p(443) over the wavebands between 420-650 nm; a_(ph)(λ) could be well expressed as the second-order quadratic equations of a_(ph)(443) among the blue-green wavebands, and a_(NAP)(λ) follows the general exponential function. Based on these spectral relationships, a model was proposed for partitioning the total particulate absorption coefficients into the contributions of phytoplankton and nonalgal particles using the nonlinear optimization method. The model was validated by comparing the computed results with in situ absorption coefficients. In some wavebands, such as 412 nm, 443 nm, 490 nm and 683 nm, we obtained good correlations with the percentage root mean square error (RMSE) values being controlled within 25% and the slopes being closer to 1.0. For samples from coastal waters, the discrepancy was a little large, which might be due to the higher absorption contributions from certain pheopig-ments. Overall, this model provides us much insight into phytoplankton absorption retrieval from in situ measurements and remote sensing ocean color data.
机译:我们测量了从沿海水域到南海北部(NSCS)的公海的三趟航行中的悬浮颗粒(a_p(λ))的吸收系数。使用甲醇萃取法确定浮游植物(a_(ph)(λ))和非藻类颗粒(a_(NAP)(λ))的吸收贡献。基于大约360个样本的数据集,我们检查了粒子吸收系数的光谱关系。结果表明,a_p(λ)光谱与a_p(443)在420-650 nm波段上线性相关。 a_(ph)(λ)可以很好地表示为蓝绿色波段中a_(ph)(443)的二次方程,而a_(NAP)(λ)遵循一般的指数函数。基于这些光谱关系,提出了使用非线性优化方法将总颗粒吸收系数划分为浮游植物和非藻类颗粒贡献的模型。通过将计算结果与原位吸收系数进行比较来验证该模型。在某些波段(例如412 nm,443 nm,490 nm和683 nm)中,我们获得了良好的相关性,其均方根误差(RMSE)百分比值控制在25%之内,并且斜率更接近1.0。对于来自沿海水域的样品,差异稍大,这可能是由于某些色素的吸收作用较大。总体而言,该模型为我们提供了从原位测量和遥感海洋颜色数据中浮游植物吸收反演的更多见识。

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