Video link<\/a><\/p>\nSupervisors:<\/strong>
\nProfessor Marina Bergen Jensen, IGN
\nAssociate Professor Thomas Balstr\u00f8m, IGN
\nDr. Ole Mark, Kr\u00fcger A\/S<\/p>\nAssessment Committee:<\/strong>
\nSenior Researcher Albert S. Chen, Univ.\u00a0of Exeter \u2013 UK
\nProfessor MSO Michael R. Rasmussen, Aalborg Universitet
\nSenior Researcher Hans Skov-Petersen (chair), IGN<\/p>\nSummary:<\/strong>
\nGuohan Zhao has developed a method for rapid 2D predictions of urban floods, giving promise of future flood forecasting models operating at large scales making use of high-resolution terrain data. The method is based on Geographical Information Systems (GIS) and identifies the part of the drainage basin that may cause flooding of a target object (e.g. a city or single building) thus excluding any irrelevant areas. The method returns a reduced number of computational cells to be used in conventional 2D hydrodynamic models. By comparison with a full 2D-modelling of the case basin (the Greve Basin, Denmark), it is demonstrated that the method provides robust performances and accurate predictions, but at a significantly faster computing speed. Included in this method is a new way of distinguishing important sinks (landscape depressions) from unimportant ones based on the characteristics of the predicted rainfalls and the sinks’ volume\/catchment ratio.<\/p>\nA digital version of the PhD thesis can be obtained from the PhD secretary Anne Marie Faldt<\/em> anmf@ign.ku.dk<\/p>\n","protected":false},"excerpt":{"rendered":"Guohan Zhao defends his thesis, A Sub-model Approach for fast large-scale high resolution two-dimensional urban flood modelling Video link Supervisors: Professor Marina Bergen Jensen, IGN Associate Professor Thomas Balstr\u00f8m, IGN Dr. Ole Mark, Kr\u00fcger A\/S Assessment Committee: Senior Researcher Albert S. Chen, Univ.\u00a0of Exeter \u2013 UK Professor MSO Michael R. Rasmussen, Aalborg Universitet Senior Researcher […]<\/p>\n","protected":false},"author":0,"featured_media":106661,"template":"","class_list":["post-106660","event","type-event","status-publish","has-post-thumbnail","hentry","event_category-phd-thesis-defense"],"acf":[],"aioseo_notices":[],"yoast_head":"\n
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