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Optical properties of Finnish lakes estimated with simple bio-optical models and water quality monitoring data

机译:用简单的生物光学模型和水质监测数据估算芬兰湖泊的光学特性

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The aim of this study was to estimate the distributions of spectral diffuse attenuation coefficient, attenuation depth and subsurface reflectance of Finnish lakes. In addition, the optimum empirical water quality interpretation algorithms employing reflectance ratios were investigated for the needs of remote sensing. Estimations of the optical properties were based on simple optical models and measured concentrations of optically active substances (the sum of chlorophyll a and phaeophytin a, total suspended solids and coloured dissolved organic matter (CDOM)) at 1670 monitoring stations representing 1113 lakes. The models were parameterized using optical data from 10 lakes. The mean diffuse attenuation coefficient in PAR was 3.5 m~(-1) and the location of the maximum attenuation depth was in the range 564-714 nm. The simulated reflectance spectra showed a shift of the maximum value to longer wavelengths as trophic status changed from oligotrophic to hyper-eutrophic. High CDOM concentrations decrease the estimation accuracy of chlorophyll a from reflectance spectra using empirical algorithms, particularly in oligotrophic lakes. The models described can be used in studying light availability for photosynthesis at different depths, in the simulation of water temperatures, in estimating how different management alternatives affect light attenuation and Secchi depth, and in various remote sensing applications.
机译:这项研究的目的是估计芬兰湖泊的光谱扩散衰减系数,衰减深度和地下反射率的分布。此外,针对遥感的需求,研究了采用反射比的最佳经验水质解释算法。光学性质的估算基于简单的光学模型,并在代表1113个湖泊的1670个监测站​​上测量了旋光性物质的浓度(叶绿素a和Pheophytin a的总和,总悬浮固体和有色溶解有机物(CDOM))。使用来自10个湖泊的光学数据对模型进行参数化。 PAR的平均扩散衰减系数为3.5 m〜(-1),最大衰减深度在564-714 nm范围内。模拟的反射光谱显示,随着营养状态从贫营养状态变为超富营养状态,最大值移至更长的波长。高CDOM浓度会降低使用经验算法从反射光谱估计叶绿素a的准确性,尤其是在贫营养湖泊中。所描述的模型可用于研究不同深度的光合作用的光利用率,模拟水温,估算不同的管理替代方案如何影响光衰减和塞基深度以及各种遥感应用。

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