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Inversion model of diatom concentrations in coastal water based on absorption coefficients

  • role： First author第一作者
  • Affiliation：

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

  • Email：2978198775@qq.com
  • Introduction：樊杰，研究方向为海洋遥感。E-mail：2978198775@qq.com
FAN Jie1,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Jiangsu Key Laboratory of Ocean Dynamics Remote Sensing and Acoustics, Nanjing 210044, China

    Jiangsu Research Center for ocean Survey Technology, Nanjing 210044, China

  • Email：sundeyong@nuist.edu.cn
  • Introduction：孙德勇，研究方向为水体光学、水色遥感。E-mail：sundeyong@nuist.edu.cn
SUN Deyong123*,  
  • Affiliation：

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Jiangsu Key Laboratory of Ocean Dynamics Remote Sensing and Acoustics, Nanjing 210044, China

    Jiangsu Research Center for ocean Survey Technology, Nanjing 210044, China

WANG Shengqiang123,  
  • Affiliation：

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Jiangsu Key Laboratory of Ocean Dynamics Remote Sensing and Acoustics, Nanjing 210044, China

    Jiangsu Research Center for ocean Survey Technology, Nanjing 210044, China

ZHANG Hailong123,  
  • Affiliation：

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

HUAN Yu1,  
  • Affiliation：

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Jiangsu Key Laboratory of Ocean Dynamics Remote Sensing and Acoustics, Nanjing 210044, China

    Jiangsu Research Center for ocean Survey Technology, Nanjing 210044, China

HE Yijun123

реферат

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, R2, 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 (R2) 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.

ключеви́че слова́

remote sensing;Diatoms concentration;Gaussian model;CHEMTAX;Chinese marginal seas

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