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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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A novel approach to flood risk assessment: the Exposure-Vulnerability matrices
TL;DR: In this paper, a GIS-based tool was used to evaluate each element at risk inside an Exposure-Vulnerability matrix, which can also estimate the possible consequences of an event even in those catchments where the damage data are absent.
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Multi-Temporal Built-Up Grids of Brazilian Cities: How Trends and Dynamic Modelling Could Help on Resilience Challenges?
Iana Alexandra Alves Rufino,Slobodan Djordjević,Higor Costa de Brito,Priscila Barros Ramalho Alves +3 more
TL;DR: In this paper, the Global Human Settlement Layer (GHSL) built-up grids for selected Brazilian cities were used to generate urban models using GIS technologies and cellular automata for spatial pattern simulations of urban sprawl.
12nd International Conference on Urban Drainage, Porto Alegre/Brazil, 10-15 September 2011
Ana Schellart,S. Ochoa,Nuno Simoes,L-P Wang,Miguel A. Rico-Ramirez,Sara Liguori,Andrew Duncan,Albert S. Chen,Edward Keedwell,Slobodan Djordjević,Dragan Savic,Adrian J. Saul,Cedo Maksimovic +12 more
Journal ArticleDOI
Prediction of flow around a sharp-nosed bridge pier: influence of the Froude number and free-surface variation on the flow field
TL;DR: In this paper, the influence of free-surface variation on the velocity field using numerical simulations of flow around a sharp-nosed pier that is representative of a typical masonry bridg...
Fast Simulation of Sewer Flow using Cellular Automata
TL;DR: In this paper, a Cellular Automata sewer simulator is presented which is both fast and accurate, and tested using a small theoretical network that has been designed to fully test the model's capabilities.