Inversion model of diatom concentrations in coastal water based on absorption coefficients
- Vol. 27, Issue 2, Pages: 363-375(2023)
DOI： 10.11834/jrs.20210475
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摘要
浮游植物种群结构对了解海洋碳循环，生物多样性等研究具有重要意义。针对某种浮游植物种群生物量的研究，可以掌握浮游植物种群结构变化特征。本研究基于航次实测色素数据，利用CHEMTAX方法获取近海水体硅藻浓度信息，分析实测硅藻浓度数据的空间分布状态。对高斯模型中心波长和半波宽参数进行优化，结合高斯模型分解获取的高斯峰值，分析其与硅藻浓度之间的相关关系，并遴选相关系数较高的高斯峰值。利用不同数学函数，开展高斯峰值与硅藻浓度之间的关系模型构建研究，并结合精度指标（决定系数,R,2,，中值误差ME）判定各数学函数模型的硅藻浓度反演精度，以提出最优的反演模型。研究结果表明：（1）实测硅藻浓度整体上呈现出近岸高，离岸低的空间分布特征，高值区域主要分布在渤海湾及长江口附近；（2）硅藻浓度反演模型精度较高，通过留一交叉验证法对模型进行验证，决定系数为0.79，中值误差为49%，,p,值小于0.001，该模型为后续开展卫星遥感反演硅藻浓度的工作奠定了基础。
Abstract
Phytoplankton are a vital component of marine organisms and play a crucial role in material circulation, energy flow and information transmission. The study of phytoplankton communities is important to understand carbon cycling and biodiversity, and the study of the biomass for a certain phytoplankton group can help understand the structural changes of phytoplankton communities. Diatoms are the dominant taxonomic group with the most abundant concentration in coastal water, and diatoms provide solid photosynthetic capacity (approximately 40% of marine primary productivity). Meanwhile, diatom concentrations will indirectly affect the breeding progress of holoplankton. In this study, observation samples (,n, = 252) were collected in the marginal seas of the northwest Pacific Ocean, covering the Bohai Sea (BS), Yellow Sea (YS), and East China Sea (ECS), from six cruise surveys that covered different seasons. The concentration of diatoms was calculated by phytoplankton pigment concentrations collected with the High-Performance Liquid Chromatography (HPLC) method with the CHEMTAX method, and the spatial distribution of measured diatom concentrations was analyzed. Based on ,in situ ,data parameters collected by multiple cruises, including phytoplankton absorption coefficients and diatom concentrations, we optimized Gaussian central bands and half-wave widths with derivative spectrum analysis and the peaks of the specific absorption spectrum, which were mentioned in existing research. Then, the correlation coefficients between diatom concentrations and different Gaussian peaks, which were decomposed by Gaussian function, were analyzed. We established Gaussian peaks, which had higher correlation coefficients with diatom concentrations, to establish an inversion model of diatom concentrations. The inversion models between Gaussian peaks and diatom concentrations were studied with different mathematical functions (linear function, quadratic function, logarithmic function, exponential function and power function), and the accuracy for each model was evaluated by two precision indicators (determination coefficients,R,2, and median percent error, ME) to propose the optimal inversion model form. The parameters (,A, B,) were confirmed by leave-one-out methods later. The results of the research show the following: (1) The spatial distribution of measured diatom concentrations presented characteristics that were higher nearshore and lower offshore. The higher areas for BS appeared in the neighborhood, and the trend to the central area was decreasing progressively. Similar to BS, the spatial distribution of measured diatom concentrations was higher nearshore (Yangtze Estuary) and lower offshore (central area) in both the YS and ECS. (2) The evaluation indicators for our diatom concentration inversion model were relatively high. Comparing the diatom concentrations modeled in this study and calculated by the CHEMTAX method and using leave-one-out methods to verify the accuracy between them, the determination coefficient (,R,2,) was 0.79, the Median Error (ME) was 49%, and the ,p, value was under 0.001. It should be noted that some deviation appears in the lower concentration (,<,0.02 mg m,-3,); that is why the range of application should be concluded in later applications. In summary, the relatively high accuracy shows the applicability of the inversion model of diatom concentrations in this study, and the model lays the foundation for conducting research on satellite remote sensing inversion of diatom concentrations.
关键词
遥感硅藻浓度高斯模型CHEMTAX中国近海
Keywords
remote sensingdiatoms concentrationGaussian modelCHEMTAXChinese marginal seas
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