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ANALYSIS OF 90 YEARS SEA LEVEL DATA AT VARNA TIDE GAUGE STATION
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A. Ivanov;I. Georgiev;N. Dimitrov
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1314-2704
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English
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19
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2.2
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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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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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11-16
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30 June - 6 July, 2019
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website
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cdrom
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5466
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mean sea level; harmonic analysis; tidal constituents
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