Slobodan Djordjević

TL;DR: In this paper, a set of GIS-based tools is presented that combines information from hydraulic modelling results, spatially varied object attributes and damage functions to assess flood damage, and combine information from multiple events to calculate the expected annual damage.

TL;DR: In this article, the authors proposed a new approach to simulate such a dynamic between the sewer and the surface flow in coupled surface and sewer flow modelling, which is capable of describing the physical phenomena when manhole covers restrict the drainage flow from the surface to the sewer network and reduce the surcharge flow and vice versa.

TL;DR: To analyse the impact caused by individual and composite type of flooding, the SIPSON/UIM model, an integrated 1D sewer and 2D overland flow was applied and showed that the worst scenarios resulted from synthesised events.

TL;DR: In this paper, the authors compared two modelling approaches with and without considering the flow processes in gullies in the coupled sewer and surface modelling, and the results showed that the inclusion of flow process in the gullies can further improve the accuracy of urban flood modelling.

TL;DR: In this paper, a probabilistic flood evaluation is expressed by probability boxes and two model parameters are respectively described by fuzzy sets and random sets, and the authors demonstrate the critical importance of separating aleatory and epistemic uncertainties and of maintaining the uncertainty type (either aleatory or epistemic) in uncertainty propagation.