Analysis of inherent optical properties and apparent optical properties in reservoirs for the simulation of water color and clarity

碩士 === 國立成功大學 === 環境工程學系 === 103 === Optical Water Quality (OWQ) is the most direct and easiest way to observe the water quality. However, unlike other water quality management has been developed many mode, OWQ management has been not yet haven a model with the physical mechanism, The objective of t...

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Bibliographic Details
Main Authors: Wei-MingHuang, 黃韋旻
Other Authors: Chih-Hua Chang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/hcjkuq
Description
Summary:碩士 === 國立成功大學 === 環境工程學系 === 103 === Optical Water Quality (OWQ) is the most direct and easiest way to observe the water quality. However, unlike other water quality management has been developed many mode, OWQ management has been not yet haven a model with the physical mechanism, The objective of this study is to establish clarity and color model with the physical mechanism. First, according to the results of Secchi Depth (SD) and chlorophyll a (Chl-a) classification, this study picks up SunMoonlake Reservoir (SMR), NanHua Reservoir (NHR), LiYutan Reservoir (LYR) and FengShan Reservoir (FSR) to study. Second, the Apparent Optical Properties (AOPs), Inherent Optical Properties (IOPs) and Optically Active Substance (OAS) concentration were analyzed. Third, according to optical database collected from this study, Bio-Optical Model (BOM) is established. Forth, by BOM and Radiative Transfer Model (RTM), water clarity and color model are established. The results of this study show: (1) By optical closure with RTM, The best Backscattering ratio (B) is 0.14(SMR), 0.05(NHR), 0.06(LYR) and 0.20(FSR), (2) During sampling period, Γ is 5.76(SMR), 10.37(NHR), 7.71(LYR) and 6.5(FSR). Through using seasonal water quality data from EPA in Taiwan to simulate SD, the results show that Liyutan reservoir is best (R=0.879) and Fengshan reservoir is the worst (R=0.643). (3)For the simulation of color, it is feasible to distinguish typical color among reservoirs. By RTM, BOM and B established by this study can connect the clarity and color model and It can direct simulate water clarity and color without effects of the light field conditions and subjective effects from humans.