首页> 外文会议>Conference on Remotely Sensed Data and Information; 20070525-27; Nanjing(CN) >Modeling the spectral absorption by CDOM in meiliang bay, taihu lake
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Modeling the spectral absorption by CDOM in meiliang bay, taihu lake

机译:太湖梅梁湾CDOM光谱吸收模型

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The interpretation of remotely sensed images of turbid coastal waters or inland lake waters is more difficult than case 1 water, because their optical properties are complex, and their optical constituents are independent of phytoplankton concentrations. In recent years significant efforts have been made to develop ocean color satellite missions with improved spectral and radiometric performance, and in the same time, techniques for constituent retrieval have evolved from empirical towards analytical algorithms. Analytical models can be developed and inverted to yield concentrations (Carder et al. 1999) of substances in the water from reflectance measurements, which require a suitable parameterization of the optically active constituents and their optical properties. This paper focused on absorption by chromophoric dissolved organic matter (CDOM; also Gelbstoff or yellow substances), which was the pool of absorbing substances in water and one of the main optically active constituents in Case 2 waters. The absorption of CDOM is generally considered as the exponential form model, which have three important main parameters, S, a(λ_0), λ_0. The S results got from the exponential form model fit using CDOM normalization absorptions by 350nm, or 400nm, or 440nm absorption were the same, and the final value of S for CDOM in Meiliang Bay, Taihu Lake was 0.0106, namely the mean of S for all samples; Normally, a(λ_0) is simply taken to be the mean of the absorption coefficient of CDOM of field samples in the reference wavelength, however, this study found that a(λ_0) varied greatly between samples ( λ_0 =400, 1.93 < a(_λ~0) < 4.09; λ_0 =440, 1.12 < a(λ_0) < 2.56; λ_0 =350, 4.07 < a(λ_0) < 7.85), and the correlation coefficient between a(_λ~0) and TN(total nitrogen) concentration increased with the decrease of wavelength, in 350nm, up to 0.83,so a(_λ~0) submodel was constructed by lineal regression of a(λ_0) and TN(total nitrogen) concentration; The errors of reversion were compared and analyzed in yellow matter absorption model using different parameter, and three reference wavelengths _λ~0, namely350nm, 400nm and 440nm, were considered in the paper; and the results showed that parameter a( _λ~0) was most important parameter in absorption model of CDOM than other parameters, and sub-model of a(λ_0) was more reasonable parameter to CDOM absorption model than average a(λ_0). Because absolute relative error using a( _λ~0) submodel in 350-700nm was greatly reduced, its average absolute relative error was 15.1 percent ,and correlation coefficients between measured absorption coefficient of CDOM and estimated absorption coefficient of CDOM in 350-700nm were remarkably improved , its average value in 350-700nm was 0.73,whereas average absolute relative error using average a(λ_0) was approximately 24 percent and its correlation coefficients between measured absorption coefficient of CDOM and estimated absorption coefficient of CDOM were 0.Furthermore, choice of reference wavelength had little effect on CDOM absorption coefficient reversion.
机译:与情况一相比,对浑浊的沿海水域或内陆湖泊水域的遥感图像的解释要困难得多,因为它们的光学特性很复杂,而且它们的光学成分与浮游植物的浓度无关。近年来,为开发具有改进的光谱和辐射测量性能的海洋彩色卫星任务做出了巨大的努力,同时,用于成分检索的技术已经从经验算法发展到分析算法。可以建立分析模型,并通过反射测量将其转化为水中物质的浓度(Carder等,1999),这需要对光学活性成分及其光学特性进行适当的参数化。本文着重于发色溶解性有机物质(CDOM;也包括Gelbstoff或黄色物质)的吸收,这是水中的吸收物质库,也是案例2水域中主要的光学活性成分之一。 CDOM的吸收通常被认为是指数形式模型,它具有三个重要的主要参数S,a(λ_0),λ_0。使用CDOM归一化吸收的350nm或400nm或440nm吸收的指数形式模型拟合得到的S结果相同,在太湖梅梁湾CDOM的S最终值为0.0106,即SDOM的平均值。所有样本;通常,简单地将a(λ_0)用作参考波长下野外样品CDOM吸收系数的平均值,但是,这项研究发现,a(λ_0)在样品之间差异很大(λ_0= 400,1.93

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