碩士 / 國立成功大學 / 環境工程學系碩博士班 / 101 / 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.
| Identifer | oai:union.ndltd.org:TW/101NCKU5515037 |
| Date | January 2013 |
| Creators | Da-ChingYang, 楊大慶 |
| Contributors | Chih-Hua Chang, 張智華 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 149 |
Page generated in 0.4826 seconds