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首页> 外文期刊>Hydrobiologia >Partitioning particulate scattering and absorption into contributions of phytoplankton and non-algal particles in winter in Lake Taihu (China)
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Partitioning particulate scattering and absorption into contributions of phytoplankton and non-algal particles in winter in Lake Taihu (China)

机译:太湖冬季将颗粒物的散射和吸收划分为浮游植物和非藻类颗粒的贡献

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Light scattering, backscattering, and absorption coefficients of particles were observed at 62 locations in Lake Taihu (China) in November 2008. A method using a priori knowledge and the measured data was proposed to partition particulate scattering and absorption into contributions of phytoplankton and non-algal particles. The results showed that phytoplankton weakly contributed to the particulate scattering and backscattering with the mean b ph/b p values usually below 10% and b bph/b bt values of 0.3–3.9% in the whole visible light spectrum, and an approximate relationship of b bt ≈ b bp ≈ b bnap was regarded as reasonable in Lake Taihu. In contrast with scattering and backscattering, phytoplankton made more contributions to the particulate absorption with the mean a ph/a p values varying in a wide range of about 20–70%. Both the scattering and absorption spectra of non-algal particles can be modeled well by corresponding methods. A power function model was used to simulate the scattering spectra, which presented high predictive accuracies with MAPE values usually below 5% and RMSE values below 1.5 m−1, while the spectral absorption model also performed well with mean S nap being 0.0052 nm−1 (standard deviation, SD = 0.0010 nm−1). As to the phytoplankton absorption, a quadratic function model used was considered to have a good performance with corresponding parameters being supported at each wavelength in the spectral range of 400–700 nm. Additionally, two basic bio-optical parameters were determined, that is, b nap*(550) = 0.604 m2 g−1 and a ph*(675) = 0.0288 m2 mg−1. Overall, these results obtained in the present study supply us with new knowledge about optical properties of suspended particulates in an inland and highly turbid lake (Lake Taihu), which are beneficial to the development of analytical models of water color remote sensing.
机译:2008年11月,在太湖(中国)的62个地点观测到了颗粒的光散射,反向散射和吸收系数。提出了一种利用先验知识和实测数据的方法,将颗粒的散射和吸收分为浮游植物和非浮游植物的贡献。海藻颗粒。结果表明,浮游植物对颗粒物的散射和反向散射的贡献较小,其平均b ph / b p 值通常低于10%,b bph / b bt 值在整个可见光谱中为0.3–3.9%,并且b bt ≈b bp ≈b < sub> bnap 在太湖被认为是合理的。与散射和反向散射相反,浮游植物对颗粒物吸收的贡献更大,其平均 ph / a p 值在大约20%至70%的宽范围内变化。非藻类颗粒的散射和吸收光谱均可通过相应方法很好地建模。使用幂函数模型来模拟散射光谱,该光谱具有较高的预测精度,MAPE值通常低于5%,RMSE值低于1.5 m -1 ,而光谱吸收模型的均值也很好S nap 为0.0052 nm -1 (标准偏差,SD = 0.0010 nm -1 )。关于浮游植物的吸收,使用的二次函数模型被认为具有良好的性能,并且在400–700 nm光谱范围内的每个波长处都支持相应的参数。此外,确定了两个基本的生物光学参数,即b nap * (550)= 0.604 m 2 g - 1 ph * (675)= 0.0288 m 2 mg -1 。总体而言,本研究获得的这些结果为我们提供了有关内陆和浑浊湖泊(太湖)中悬浮颗粒物光学特性的新知识,这有助于开发水彩遥感分析模型。

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