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An investigation into the relationship between light absorption budget and trophic status in inland waters

机译:内陆水域光吸收预算与营养状况关系的调查

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摘要

The optical properties of the water can give comprehensive information about the in-water constituents which is directly related to concentration, size and composition, all essential for the development of bio-optical algorithms. Aiming to provide new observations about optical properties of water in two distinct reservoirs situated along the cascade system of Tiete River: Barra Bonita (BB) and Nova Avanhandava (Nav), this study described and discussed their inherent optical properties (IOPs) in terms of the absorption contribution. BB showed a dominance in the phytoplankton fraction at all visible wavelengths, and Nav by nonalgal particle absorption (a(NAP)), mainly at the blue and green wavelengths. The mass-specific absorption coefficient of phytoplankton at 443 nm observed in Nav and BB corroborated with the assumption that the trophic state decreases from oligotrophic to hypereutrophic. The a(NAP) (lambda) did not show a seasonal pattern between field campaigns and reservoirs. The absorption coefficient of particulate enhanced the strong influence of phytoplankton pigments along the visible spectrum in BB, whereas Nav only displayed the peak at 675 nm represented by chlorophyll a absorption and high contribution of non-algal particle and colored dissolved organic matter in the blue region. These findings recommend the use of different modelling approaches to estimate water quality parameters from both sites when the inputs of the models consider the specific information about the IOPs and their relation with the in-water constituents.
机译:水的光学性质可以提供有关与浓度,尺寸和组成直接相关的水合成分的综合信息,这对于生物光学算法的发展至关重要。旨在提供关于沿着Tiete River级联系统的两种不同水库中水的光学性质的新观察:Barra Bonita(BB)和Nova Avanhandava(Nov),本研究描述并讨论了它们的固有光学性质(IOPS)吸收贡献。 BB在所有可见波长的浮游植物级分中显示了浮游植物级分,并且通过非基质颗粒吸收(A(NAP)),主要处于蓝色和绿色波长。在NAM和BB中观察到443nm的植物特异性吸收系数,以假设营养状态从低营养学降低到过营养性。 A(午睡)(Lambda)没有在现场运动和水库之间显示出季节性模式。颗粒状的吸收系数增强了BB中的可见光谱的浮游植物颜料的强烈影响,而NAV仅在叶绿素中表示的675nm处的峰值,在蓝色区域中的非藻颗粒和有色溶解有机物的吸收和高贡献。 。这些发现建议使用不同的建模方法来估算模型的输入时从两个站点的水质参数考虑有关IOPS的具体信息及其与水中成分的关系。

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