In investigating ocean surface waves at a location, it is often to describe the waves with spectrum. A wave spectrum measures the distribution of wave energy from the wave trains in all different directions and all different periods at a location. Since the waves at a location contain seas and swells (which are the waves generated by local and remote wind systems respectively), a wave spectrum is viewed composing of different portions of the seas and swell spectrum. How to precisely partition a wave spectrum for each wave system (seas and swells) is of practical need in engineering practice, wave forecast, and coastal water management. At present, there are many different partitioning schemes, but not all are reliable and feasible enough for operational use. This report presents a wave system partition scheme followed by an identification scheme, which uses TMA spectrum, to identify different wave systems. This partition and identification scheme is intended for operationally use in partitioning the swell and wind sea in spectrum at finite water depth. Automated spectral partition and identification have been developed to evaluate swell systems in data during typhoon Meari.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0724112-192638 |
| Date | 24 July 2012 |
| Creators | Hsu, Cheng-Jung |
| Contributors | Yang-Yi Chen, Hsuan-Shan Chen, Yi-Yu Kuo, Chung-Pan Lee, Liang-Sheng Ho |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724112-192638 |
| Rights | user_define, Copyright information available at source archive |
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