本研究採用Tassan等人在2002年提出的方法去分析藍綠藻(微囊藻、柱孢藻)、綠藻(小球藻)及矽藻(菱形藻)的吸收係數，並利用AC-S光學儀器量測其散射係數，最後結合濃度關係建立比濃度吸收係數及散射係數的資料庫。結果發現三種藻類的吸收係數光譜在波長430 nm及670 nm附近有因為葉綠素-a造成的特徵波長，在480 nm附近則有因為藻紅蛋白造成得吸收帶，柱孢藻及微囊藻在620 nm附近有因藻藍蛋白造成的吸收帶，小球藻則沒有。也利用迴歸方程式來建立吸收係數和葉綠素-a濃度的關係，基準波長分別為650nm、680 nm及690 nm，採用Lee的方程式，建立三種藻類的吸收係數模式。散射係數受到吸收的影響，波長在430 nm及670 nm附近皆出現低谷，且濃度越大越為明顯。而為了了解利用水體顏色監測水質的可能性，將資料庫作為理論傳輸模式的輸入參數，模擬出不同狀況下的遙測反射率，並利用顏色模式將遙測反射率轉換成RGB構成肉眼所看到的顏色，並和現實中水體顏色作比較。而為了了解水體顏色對於水質監測的可行性，將資料庫當作理論傳輸模式的輸入參數，將其模擬的遙測反射率轉換成RGB，形成肉眼所看到的顏色。顏色的模擬結果和實驗室培養的藻類溶液照片比較發現，其顏色相當相似，且發現同屬於藍綠藻的柱孢藻及微囊藻的顏色分常相似，但是屬於綠藻的小球藻則不相同。以相同方式模擬現地水樣的水體顏色，顏色差異也不大。最後經過敏感度分析發現，主要影響水體顏色模擬的因素為水中物質吸收係數及散射係數的光譜形狀，形狀的不同也直接影響了顏色的呈現。

Eutrophication and cyanobacteria algal blooms present an increasing threat to the health of freshwater ecosystems and to humans who use these resources for drinking and recreation. Therefore, efficient methods that can accurately detect the presence or absence of algae blooms are very important. The remote sensing is an efficient method used to monitor water quality of reservoir. In order to do more accurately, building IOP database is an important work. So this study built three kinds of algae IOP database, that included Microcystis aeruginosa (M. aeruginosa), Cylindrospermopsis raciborskii (C. raciborskii), and Chlorella vulgaris (C. vulgaris). The cultures were cultivated in suitable mediums at 25°C with continuous light. The optical properties of the substances in the water played an important role in the remote-sensing of water quality. Therefore, this study measured the optical properties such as the absorption coefficient and scattering coefficient, by using a modified filter–transfer–freeze, the transmittance–reflectance method, and AC-S (Wetlabs Inc). The results are similar with reference, this is an evidence to proof the methods and results are correct. To know using the color of water to monitor water quality is a feasibility way or not, this study combined the RTM model hydrolight and color matching functions to simulate the color of culture water. The results showed the color of each concentration algae, and in high concentration of the color of C. vulgaris culture water is chartreuse, M. aeruginosa and C. raciborskii culture water is dark green. The sensitivity analysis of color simulation showed that the critical factor is shape of absorption coefficient and scattering coefficient, not solar zenith angles and backscattering ratio. Success building SIOP database can increase accuracy of remote sensing, and the color simulation can help efficiently estimate the dominant species of phytoplankton.

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