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ANALYSIS OF 90 YEARS SEA LEVEL DATA AT VARNA TIDE GAUGE STATION

Anton Ivanov

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.2/s09.002View metrics

Abstract

The paper outlines time series analysis of tide gauge data to solve for short and long term sea level variations at the Varna tide gauge station. The data covered the period 1928 ? 2018. The measurements have started at 1928 using mechanical floating tide gauge type A. Ott-Kempten. In 2013 a radar tide gauge type Vega Plus with web interface was installed. Linear regression model was applied analyzing monthly registration for computing mean sea level, trend, annual, semiannual and decadal variations. Analysis of tide gauge data for 90 years clearly indicates annual and decadal variations of mean sea level. Observations of radar tide gauge data encompass the period May 2013 - December 2018. This period is sufficient for separation the influence of long from short term tidal constituents. Least-squares based harmonic analysis was used to solve for amplitudes and phases of tidal constituents. The method is based on the theory that observed data series can be presented by sum of components whit a previously known frequencies stable in time. Total 68 statistically significant short term tidal constituents are obtained. The annual and semiannual tidal amplitudes and phases, estimated with harmonic analysis are compared with the values obtained from the linear regression analysis.

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Publication details

Title
ANALYSIS OF 90 YEARS SEA LEVEL DATA AT VARNA TIDE GAUGE STATION
Authors
Anton Ivanov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
11-16
SWS Citekey
Ivanov201991116
ISSN
1314-2704
ISBN
978-619-7408-80-5
Language
en
Publication type
Conference Paper
Keywords
References4
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  2. Thompson, K. R., An analysis of British monthly mean sea level, International Scientific Event, Geophys Journal Royal astronomical. society. vol 63, 1980, pp57-73.

  3. Atanasova-Zlatareva M., Nikolov H., Displacements Monitoring Of The Trifon Zarezan Landslide By Gnss Observations And Insar Introduction, Proceedings 9th Congress of the Balkan Geophysical Society, EAGE-2017, Antalya, Turkey, 2017. p 5

  4. Golyandina, N., Osipov, E. The “Caterpillar”-SSA method for analysis of time series with missing values. Journal of Statistical Planning and Inference 13. 2007, pp2642 – 2653p.

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Number of times cited according to Crossref: 2

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