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2012-02-15Masterarbeit DOI: 10.18452/14160
Water Level Modeling around German Bight
dc.contributor.authorCao, Xiaofeng
dc.date.accessioned2017-06-18T02:31:39Z
dc.date.available2017-06-18T02:31:39Z
dc.date.created2012-03-01
dc.date.issued2012-02-15
dc.identifier.urihttp://edoc.hu-berlin.de/18452/14812
dc.description.abstractThis work investigates the water level data measured in 18 stations around the German Bight from 1953 to 2006. It is the most useful hydrometric data to measure a water body and to do a forecasting for specific extreme risks. Our water level data are both temporal and spatial. We apply first stochastic time series models to the data on temporal level. The model has four patterns: trend, seasonality, autoregressive components and the heteroscedastic residuals captured by a dynamics conditional volatility model. Two different procedures are applied in this work to model the conditional mean dynamics. After the comparison of the empirical results from all procedures, we get the residuals from the "best" approach. Afterwards we adopt the spatial analysis to the residuals on each day, in order to interpolate for the unobserved locations. Different variogram and Kriging models are applied and compared.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectseasonalityeng
dc.subjectwater level analysiseng
dc.subjectvariogrameng
dc.subjectKrigingeng
dc.subject.ddc330 Wirtschaft
dc.titleWater Level Modeling around German Bight
dc.typemasterThesis
dc.identifier.urnurn:nbn:de:kobv:11-100199807
dc.identifier.doihttp://dx.doi.org/10.18452/14160
dc.contributor.refereeOkhrin, Ostap
dc.contributor.refereeCabrera, Brenda Lopez
local.edoc.pages61
local.edoc.type-nameMasterarbeit
local.edoc.institutionWirtschaftswissenschaftliche Fakultät

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