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The relationship between salinity, suspended particulate matter and water clarity in aquatic systems

机译：水生系统中盐度，悬浮颗粒物和水透明度之间的关系

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摘要

This work presents and recommends (1) an empirically based new model quantifying the relationship between salinity, suspended particulate matter (SPM) and water clarity (as given by the Secchi depth) and (2) an empirical model for oxygen saturation in the deep-water zone for coastal areas (O_2Sat in %). This paper also discusses the many and important roles that SPM plays in aquatic ecosystems and presents comparisons between SPM concentrations in lakes, rivers and coastal areas. Such comparative studies are very informative but not so common. The empirical O_2Sat model explains (statistically) 80% of the variability in mean O_2Sat values among 23 Baltic coastal areas. The model is based on data on sedimentation of SPM, the percentage of ET areas (areas where erosion and transportation of fine sediments occur), the theoretical deep-water retention time and the mean coastal depth. These two new models have been incorporated into an existing dynamic model for SPM in coastal areas that quantifies all important fluxes of SPM into, within and from coastal areas, such as river inflow, primary production, resuspension, sedimentation, mixing, mineralisation and the SPM exchange between the given coastal area and the sea (or adjacent coastal areas). The modified dynamic SPM model with these two new sub-models has been validated (blind tested) with very good results; the model predictions for Secchi depth, O_2Sat and sedimentation are within the uncertainty bands of the empirical data.
机译：这项工作提出并提出了（1）一种基于经验的新模型，该模型量化了盐度，悬浮颗粒物（SPM）和水净度（由Secchi深度给出）之间的关系，以及（2）一个深层氧饱和度的经验模型。沿海地区的水域（O_2Sat百分比）。本文还讨论了SPM在水生生态系统中发挥的许多重要作用，并提出了湖泊，河流和沿海地区SPM浓度之间的比较。这样的比较研究非常有用，但并不普遍。 O_2Sat经验模型（统计上）解释了23个波罗的海沿岸地区O_2Sat平均值的80％变异性。该模型基于以下方面的数据：SPM的沉降，ET区域的百分比（发生细小沉积物侵蚀和运输的区域），理论深水停留时间和平均沿海深度。这两个新模型已被纳入到现有的沿海地区SPM动态模型中，该模型可以量化流入，流入沿海地区以及从沿海地区流入和流出的SPM的所有重要通量，例如河流入流，初级生产，再悬浮，沉积，混合，矿化和SPM。给定的沿海地区与海洋（或相邻的沿海地区）之间的交换。具有这两个新子模型的修改后的动态SPM模型已经过验证（盲测），效果非常好； Secchi深度，O_2Sat和沉积的模型预测都在经验数据的不确定性范围内。

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