衛星遙測技術於近年來已廣泛應用在海洋資源的探勘與開發上，而關於使用遙測資料推算水質的方法，在前人的研究中亦已有相當的成果，例如Quasi-Analytical Algorithm (QAA)、Garver-Siegel-Maritorena model (GSM)及基因演算法結合半解析模式(GA-SA)…等。QAA在應用上具有速度快，估算固有光學性質(Inherent Optical Properties; IOP)準確度高的優勢，然而卻無法直接求取所需水質參數；GSM中IOP的設定主要受到葉綠素濃度的影響，不適用於含砂濃度較高的水體；GA-SA在IOP估算之準確度略遜於QAA，但具有可直接解算水質參數之優勢，然而其懸浮物質反算準確度卻差強人意，因此本研究欲利用Downhill Simplex Method(DSM)演算法建立水質反算模式。本研究欲求取具有不同IOP組成之水體於不同環境光場下所產生之遙測反射率(Rrs)，因而需要大量資料進行分析。現地資料雖具準確性，其採集卻相當耗費時間與人力，且現有現地資料之數量有限，因此本研究針對各水體，建立完整模擬資料庫，再根據這些資料解算水質參數與粒子粒徑。

模擬資料庫的建立使用Hydrolight輻射傳輸模式模擬具有不同IOPs之水體，在模擬過程中選定了包含葉綠素-a濃度(C)、葉綠素背向散射比(bbph/bph)、有色溶解有機物質吸收係數(F)與衰減係數(r)以及懸浮顆粒濃度(d)和其背向散射比(bbd/bd)等六種水質與光學性質參數，以及太陽角、雲覆率、平均能見度、風速等四種環境參數，各種組合情形所產生的Rrs，並將Rrs代入所建立的水質反算模式以求取水質與光學性質參數之最佳化解。再與原本Hydrolight模擬所使用的水質與光學性質參數進行比較，驗證反算模式之準確性。最後利用反算模式所得之粒子背向散射係數bbp，討論在生物及非生物懸浮固體濃度大小及bb/b之相關性，進而分析粒子粒徑分布。

Remote sensing of satellite technology in recent years has been widely used in marine resources exploration and development, and on the use of telemetry data that we estimate water quality has been considerable progress in the previous study such as Quasi-Analytical Algorithm (QAA)、Garver-Siegel-Maritorena model (GSM) and GA-SA(Genetic algorithms and semi-analytical algorithm). QAA in applications can estimate inherent optical properties(IOP) with high accuracy, but it can’t directly obtain the required water quality parameters; In GSM IOP is determined primarily by the impact of chlorophyll concentration, and it doesn’t apply to the higher concentration of sand in the water; In GA-SA, the accuracy of the IOP slightly inferior than QAA, but has a direct solver water quality parameters advantages, however, its inverse suspended material accuracy is unsatisfactory, therefore, this study intends to use Downhill Simplex Method (DSM) algorithm to establish water quality inverse mode. In this study, we want to take a different composition in the IOP of the water bodies in the field under different ambient light of the remote sensing reflectance (Rrs) , which requires large amounts of data for analysis. Although in situ data with accuracy, but its collection is quite waste time and labor, and we have a limited number of information right now, therefore, this study for each water body, establish a complete simulation database, and then based on this information to inverse water quality parameters and particle size.
Simulation database created using Hydrolight radiative transfer model to simulation with different IOPs of the water body, selected during the simulation contains chlorophyll-a concentration(C), chlorophyll backscatter ratio (bbph /bph), colored dissolved organic matter absorption coefficient(F) and attenuation coefficient(r), suspended particles concentration(d) and its backscatter ratio(bbd/bd) of six water quality and optical parameters, and the sun angle, cloud cover, average visibility, wind speed and other kinds of environmental parameters, then we use various combinations of situation arising Rrs , and Rrs into the established patterns in order to obtain the inverse water quality parameters and the optical properties of the best resolve. Then used with the original Hydrolight simulated that used water quality and optical parameters were compared to verify the accuracy of the inverse. Finally, the inverse model obtained particle backscatter coefficient (bbp) to discussed in the biotic and abiotic suspended solids size and bb/b correlation, and then analyze the particle size distribution.

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