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The project team members doc. RNDr. Matej Vojtek, PhD. and doc. RNDr Jana Vojteková, in cooperation with other colleagues, published a research article, which refers to the second work package (NV2) of the project.
In the article, the authors focused on comparing two approaches for fluvial flood hazard mapping. Hydraulic approach was performed with the use of 1D MIKE + model while the GIS-based approach was carried out using the Height Above the Nearest Drainage (HAND) model. The research question addressed was whether the HAND model is suitable for flood inundation modeling and comparable to 1D hydraulic modeling in the specific valley type of terrain, represented by the 3.1 km section of the Gidra River (western Slovakia). To determine the peak discharges with 100 and 1000 return periods, the rainfall-runoff procedure was used via the STORAGE and COSMO4SUB models. Accuracy of HAND models, as respect to the 1D hydraulic MIKE + models, was assessed with the use of six metrics: Critical Success Index, F1-score, Bias, Precision, Recall, and Overall Accuracy. Based on the results, the HAND model underestimated the hydraulically modeled flood extents in case of both flood scenarios with Bias values of 0.84 (Q1000) and 0.87 (Q100). The Overall Accuracy resulted in values of 0.93 (Q1000) and 0.94 (Q100). We concluded that the HAND-based modeled flood extents for the studied Gidra River section had an acceptable accuracy in case of both flood scenarios. Focusing on the river located in a valley type of terrain, the usage of the HAND model is mainly for rapid and preliminary fluvial flood hazard mapping due to lower data and computational requirements in comparison to hydraulic models.
The study also involved the Institute of Geography, Slovak Academy of Sciences and the Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, Viterbo, Italy.
The article Comparative analysis of hydraulic and GIS-based Height Above the Nearest Drainage model for fluvial flood hazard mapping: a case of the Gidra River, Slovakia is freely available on the website of the journal Stochastic Environmental Research and Risk Assessment (IF 2024: 3.6): https://link.springer.com/article/10.1007/s00477-025-02988-0
