Harmonic analysis in tide analysis

Yifan Wan

doi:10.1117/12.2672678

28 March 2023 Harmonic analysis in tide analysis

Yifan Wan

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125972Z (2023) https://doi.org/10.1117/12.2672678
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

Tide is a natural phenomenon which has important impact on port engineering, earthquake forecasting, shipping and many other fields. But in some complex terrains, tide and tide strain are hard to analyze and anticipate. Harmonic analysis plays an important role when researching tide. This passage uses derivation of math and physics to elaborate the essence of tidal strain observation combination and uses it to analyze tidal strain observation combination from some main gauging station in China. Besides, this passage uses t-tide tide analysis tool to analyze and anticipate the tide along the sea area of the Guangdong Province by harmonic analysis and compares it with the observation. The conclusion shows that our analysis on tidal strain has a high accuracy, and it is precise enough for earthquake scholars to research. In addition, using harmonic analysis to forecast tide is precise and stable. The residue error follows the normal distribution, and its average is less than 0.01. The maximum of variance is 0.2294, the minimum is 0.1732. The length of confidence interval is less than 0.01. Using the information of three months and one year is almost unanimous and shows that different seasons will not influence the conclusion.

Citation Download Citation

Yifan Wan "Harmonic analysis in tide analysis", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125972Z (28 March 2023); https://doi.org/10.1117/12.2672678

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available