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首页> 外文期刊>Journal of marine systems: journal of the European Association of Marine Sciences and Techniques >Modelling the light absorption coefficients of oceanic waters: Implications for underwater optical applications
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Modelling the light absorption coefficients of oceanic waters: Implications for underwater optical applications

机译:建模海水光吸收系数:水下光学应用的影响

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Spectral absorption coefficients of particulate (algal and non-algal components) and dissolved substances are modelled and combined with the pure seawater component to determine the total light absorption coefficients of seawater in the Bay of Bengal. Two parameters namely chlorophyll-a (Chl) concentration and turbidity were measured using commercially available instruments with high sampling rates. For modelling the light absorption coefficients of oceanic waters, the measured data are classified into two broad groups algal dominant and non algal particle (NAP) dominant. With these criteria the individual absorption coefficients of phytoplankton and NAP were established based on their concentrations using an iterative method. To account for the spectral dependence of absorption by phytoplankton, the wavelength-dependent coefficients were introduced into the model. The CDOM absorption was determined by subtracting the individual absorption coefficients of phytoplankton and NAP from the measured total absorption data and then related to the Chl concentration. Validity of the model is assessed based on independent in-situ data from certain discrete locations in the Bay of Bengal. The total absorption coefficients estimated using the new model by considering the contributions of algal, non-algal and CDOM have good agreement with the measured total absorption data with the error range of 6.9 to 28.3%. Results obtained by the present model are important for predicting the propagation of the radiant energy within the ocean and interpreting remote sensing observation data.
机译:颗粒状(藻类和非藻类组分)和溶解物质的光谱吸收系数模拟并与纯海水组分组合,以确定孟加拉湾海水的总光吸收系数。使用具有高采样率的市售仪器,测量两种参数即叶绿素-A(CHL)浓度和浊度。为了对海洋水的光吸收系数进行建模,将测量的数据分为两组群藻类优势和非藻类颗粒(NAP)显性。通过这些标准,使用迭代方法基于它们的浓度建立浮游植物和午睡的个体吸收系数。为了考虑浮游植物吸收的光谱依赖性,将波长依赖性系数引入模型中。通过减去浮游植物的个体吸收系数和从测量的总吸收数据进行午集,然后与CHL浓度有关来确定CDOM吸收。基于来自孟加拉湾的某些离散地点的独立原位数据来评估模型的有效性。通过考虑藻类,非藻类和CDOM的贡献,使用新模型估计的总吸收系数与测量的总吸收数据有良好的一致性,误差范围为6.9%至28.3%。通过本模型获得的结果对于预测海洋内的辐射能量和解释遥感观察数据的传播非常重要。

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