碩士 / 國立成功大學 / 水利及海洋工程學系碩博士班 / 100 / Due to the influences of global warming and climate change, coastal floods will be more and more frequent over Taiwan areas. The frequency of occurrence and strength of typhoon would also change follow the impact of climate change. The sustainable development in Taiwanese coastal areas will be an important issue in future. The purpose of this study is to estimate the sea level rise and change from 2010 to 2030 by implementing tides and satellite data.
The data used in this study consist of tides and satellite data which are more than 30 and 17 years respectively. Four methods, including the linear regression, the Fourier analysis, the ensemble EMD, and the back-propagation neural network (BPN), are practiced to examine the long-term sea-level data and estimate the possible sea level around Taiwan Island during 2010 to 2030. The tides data show an average trend larger than the reported global average rate by IPCC. These data also show larger sea level rise rates of 4.7 to 6.7 mm/yr than global values during the period from 1992–2009. Consistent with the tides data, satellite data show larger sea level rise rates of 3.9 to 4.5 mm/yr than global values during the same period. Furthermore, the BPN will be used in this investigation to predict the height of sea level rise during 2010 to 2030.
According to the above results, both of the tides and satellite data confirmed that the sea level around Taiwan is increasing, and show that there are the higher sea level rise rates in the southern and eastern areas around Taiwan. Based on these methods the sea level change in the future can be estimated, and will pave the way for coping with climate change.
| Identifer | oai:union.ndltd.org:TW/100NCKU5083012 |
| Date | January 2012 |
| Creators | Yi-PingSung, 宋憶萍 |
| Contributors | Ching-Jer Huang, 黃清哲 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 99 |
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