Pluvial Flash Flood Hazard and Risk Mapping in Croatia: Case Study in the Gospić Catchment

Nino Krvavica (), Ante Šiljeg, Bojana Horvat and Lovre Panđa
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Nino Krvavica: Faculty of Civil Engineering, University of Rijeka, 51000 Rijeka, Croatia
Ante Šiljeg: Department of Geography, University of Zadar, 23000 Zadar, Croatia
Bojana Horvat: Faculty of Civil Engineering, University of Rijeka, 51000 Rijeka, Croatia
Lovre Panđa: Department of Geography, University of Zadar, 23000 Zadar, Croatia

Sustainability, 2023, vol. 15, issue 2, 1-26

Abstract: Since the beginning of the 21st Century, Europe has been affected by destructive floods. European Union Member States have an obligation to develop flood hazard and flood risk maps as support to the Flood Risk Management Plan (FRMP). The main objective of this study is to propose a methodological framework for hazard and risk assessment of pluvial flash floods in Croatia at the catchment level, which can be integrated into the FRMP. Therefore, a methodology based on the source–pathway–consequence approach for flood risk assessment is presented, which complies with the EU Floods Directive. This integrated and comprehensive methodology is based on high-resolution open data available for EU Member States. Three scenarios are defined for a low, medium, and high probability, defined by design storms of different durations. The proposed methodology consists of flood hazard analysis, vulnerability assessment, and risk analysis. Pluvial flash flood hazards are analyzed using a 2D hydrologic–hydraulic model. The flood vulnerability assessment consists of a GIS analysis to identify receptors potentially at risk of flooding and an assessment of susceptibility to potential flood damage using depth–damage curves. Flood risk is assessed both qualitatively in terms of risk levels and quantitatively in terms of direct damages expressed in monetary terms. The developed methodology was applied and tested in a case study in the Gospić catchment in Croatia, which surrounds a small rural town frequently affected by pluvial flash floods.

Keywords: flash floods; flood risk; flood modeling; flood mapping; Floods Directive (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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