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Preliminary results of an algorithm to determine the total absorption coefficient of water

机译:确定水的总吸收系数的算法的初步结果

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An algorithm to determine the spectral total absorption coefficient of water is presented. The algorithm is based on the Gershun's equation of α = μK_E. The spectral underwater average cosine, μ and vertical attenuation coefficient of net irradiance, K_E were obtained from radiative transfer simulations using Hydrolight with large in-situ measured data from the coastal and estuarine waters of Goa. A refined algorithm of spectral u as in Ref. is used to determine the spectral underwater average cosine. The spectral K_E was related to the diffuse attenuation coefficient, K_d. The algorithms to derive absorption were validated using an independent NOMAD optical data at wavelengths 412, 440, 488, 510, 532, 555, 650 and 676 nm. The performance of the algorithm was evident from the high R~2, low bias and low RMSE. The values of R~2 at wavelengths 412, 440, 488, 510, 532, 555, 650 and 676 nm were 0.95, 0.95, 0.93, 0.93, 0.88, 0.82, 0.62, and 0.65 respectively. The corresponding bias were -0.0064, 0.0076, 0.0038, 0.0044, 0.0122, 0.0124, 0.0362, and 0.0093 respectively. The algorithms for μ and K_E provide the spectral weighted average within Z_(90) and have the advantage of deriving the absorption coefficients from the satellite data.
机译:提出了一种确定水的光谱总吸收系数的算法。该算法基于α=μK_E的Gershun方程。光谱水下平均余弦,μ和净辐照度的垂直衰减系数K_E是使用Hydrolight通过辐射转移模拟获得的,并使用了来自果阿沿岸和河口水域的大量现场测量数据。与参考文献中一样的频谱u改进算法。用于确定频谱的水下平均余弦。光谱K_E与漫射衰减系数K_d有关。使用独立的NOMAD光学数据在波长412、440、488、510、532、555、650和676 nm处验证了得出吸收的算法。从高R〜2,低偏置和低RMSE可以看出算法的性能。在波长412、440、488、488、510、532、555、650和676 nm处的R〜2值分别为0.95、0.95、0.93、0.93、0.88、0.82、0.62和0.65。相应的偏差分别为-0.0064、0.0076、0.0038、0.0044、0.0122、0.0124、0.0362和0.0093。 μ和K_E的算法可提供Z_(90)内的频谱加权平均值,并具有从卫星数据中得出吸收系数的优势。

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