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首页> 外文期刊>Aquatic Sciences >Water clarity modeling in Lake Tahoe: Linking suspended matter characteristics to Secchi depth
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Water clarity modeling in Lake Tahoe: Linking suspended matter characteristics to Secchi depth

机译：太浩湖水质清晰度建模：将悬浮物特征与塞基深度联系起来

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摘要

An additive semi-analytic model of water clarity for the forward problem of calculating apparent optical properties (AOPs) of diffuse attenuation and Secchi depth from the inherent optical properties (IOPs) due to suspended matter in oligotrophic waters is presented. The model is general in form, taking into account algal concentration, suspended inorganic sediment concentration, particle size distribution, and dissolved organic matter to predict Secchi depth and diffuse attenuation. The model's application to ultra-oligotrophic Lake Tahoe, California-Nevada, USA is described. The function of the clarity model is to quantify the relative effect of phy-toplankton or phytoplankton-derived organic materials, other particles such as suspended mineral sediment, and dissolved organic matter on the lake's clarity. It is concluded that suspended inorganic sediments and phyto-planktonic algae both contribute significantly to the reduction in clarity, and that suspended particulate matter, rather than dissolved organic matter, are the dominant causes of clarity loss.
机译：提出了一种水透明度的加法半解析模型，该模型用于解决由富营养性水中的悬浮物引起的固有光学特性（IOP）计算扩散衰减和Secchi深度的表观光学特性（AOP）的正向问题。该模型的形式一般，并考虑了藻类浓度，悬浮的无机沉积物浓度，粒径分布和溶解的有机物，以预测塞基深度和扩散衰减。描述了该模型在美国加利福尼亚内华达州的超贫营养太浩湖的应用。净度模型的功能是量化浮游植物或浮游植物衍生的有机物质，其他颗粒（如悬浮的矿物沉积物）和溶解的有机物对湖泊净度的相对影响。结论是悬浮的无机沉积物和浮游植物藻类都对净度的降低做出了很大的贡献，悬浮的颗粒物而不是溶解的有机物是净度下降的主要原因。

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