碩士 / 國立成功大學 / 環境工程學系 / 107 / As cyanobacteria blooms often occur in many drinking water reservoirs globally, their harmful secondary metabolites has been received more concern. The concerned cyanobacterial metabolites include cyanotoxins and taste-and-odor (T＆O) compounds, since they may pose health risk or influence human perception of consumers. The most concerned cyanotoxins include microcystins and cylindrospermopsins, and the T＆O compounds include the earthy odorant compound, geosmin, the musty odorant compound, 2-methylisoborneol(2-MIB), and tobacco-like odorant compound, -cyclocitral, which were found in many reservoirs in Taiwan. To understand more about the link between the growth of cyanobacteria and the presence of the above mentioned harmful secondary metabolites, and water quality and environmental conditions, this study is aimed to analyze their relationships through statistical analysis. The data of cyanobacterial and metabolites were collected from the sampling activities for Taiwan’s reservoirs conducted in 2012 to 018, and the environmental data were obtained from the Environmental Protection on Administration and Central Weather Bureau in Taiwan. Then, the data were analyzed using principal components analysis, sensitivity analysis, and time-series correlation matrix. The results show that the main reason to increase the concentration of microcystins and cylindrospermopsins were the abundance of the main producers, Microcystis and Cylindrospermopsis, respectively, with phosphorus being the limited nutrient for Microcystis growth and microcystins, and -cyclocitral production. For other producers, they were affected by turbidity. Functional genes responsible for the production of the metabolites were highly correlated with the corresponding metabolites, which may be as indexes for risk assessment. Light intensity, pH value, and conductivity did not show good correlations with the studied metabolites, but they had impact on the final results of PCA. The results of the time-series analysis with correlation matrix showed that the relationships within cyanobacterial variables and meteorological variables were impacted by time series. Hence, to analyze the relationships within the metabolites and light intensity, temperature, rainfall, or wind speed should take the average value of the data from former time period.
| Identifer | oai:union.ndltd.org:TW/107NCKU5515005 |
| Date | January 2019 |
| Creators | Jia-YuChih, 池佳育 |
| Contributors | Tsair-Fuh Lin, 林財富 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 84 |
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