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Slobodan Djordjević

Researcher at University of Exeter

Publications -  146
Citations -  4208

Slobodan Djordjević is an academic researcher from University of Exeter. The author has contributed to research in topics: Flood myth & Resilience (network). The author has an hindex of 29, co-authored 132 publications receiving 3358 citations. Previous affiliations of Slobodan Djordjević include University of Belgrade & University of Coimbra.

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Urban flood impact assessment: A state-of-the-art review

TL;DR: A state-of-the-art literature review on flood impact assessment in urban areas, detailing their application, and their limitations is presented in this article, which describes both techniques for dealing with individual categories of impacts, as well as methodologies for integrating them.
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Potential and limitations of 1D modelling of urban flooding

TL;DR: In this article, the authors show how urban flooding can be simulated by one-dimensional hydrodynamic modelling incorporating the interaction between the buried pipe system, the streets, and the areas flooded with stagnant water.
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Comparison of 1D/1D and 1D/2D Coupled (Sewer/Surface) Hydraulic Models for Urban Flood Simulation

TL;DR: In this paper, a comparison of the simulation results of a 1D/1D model and a 2D/2D model is presented, showing that the definition of the surface pathways, the linking elements sewer/surface, and the inclusion of virtual manholes are key factors for setting up a more accurate 1d/1d model.
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SIPSON--simulation of interaction between pipe flow and surface overland flow in networks.

TL;DR: The new simulation model, named SIPSON, based on the Preissmann finite difference method and the conjugate gradient method, is presented and is concluded that the presented approach is an improvement compared to the standard "virtual reservoir" approach commonly applied in most of the models.
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A weighted cellular automata 2D inundation model for rapid flood analysis

TL;DR: A new fast flood model using cellular automata (CA) technique has been developed and the rapid and accurate attributes of the model have demonstrated its applicability for quick flood analysis in large modelling systems.