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Open AccessArticle

Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania

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Centre for Integrated Analysis and Territorial Management, University of Bucharest, 010041 Bucharest, Romania
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“Simion Mehedinți—Nature and Sustainable Development” Doctoral School, University of Bucharest, 010041 Bucharest, Romania
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Department of Meteorology and Hydrology, Faculty of Geography, University of Bucharest, 010041 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Water 2019, 11(10), 2116; https://doi.org/10.3390/w11102116
Received: 1 September 2019 / Revised: 6 October 2019 / Accepted: 9 October 2019 / Published: 12 October 2019
(This article belongs to the Section Hydrology)
The importance of identifying the areas vulnerable for both floods and flash-floods is an important component of risk management. The assessment of vulnerable areas is a major challenge in the scientific world. The aim of this study is to provide a methodology-oriented study of how to identify the areas vulnerable to floods and flash-floods in the Buzău river catchment by computing two indices: the Flash-Flood Potential Index (FFPI) for the mountainous and the Sub-Carpathian areas, and the Flood Potential Index (FPI) for the low-altitude areas, using the frequency ratio (FR), a bivariate statistical model, the Multilayer Perceptron Neural Networks (MLP), and the ensemble model MLP–FR. A database containing historical flood locations (168 flood locations) and the areas with torrentiality (172 locations with torrentiality) was created and used to train and test the models. The resulting models were computed using GIS techniques, thus resulting the flood and flash-flood vulnerability maps. The results show that the MLP–FR hybrid model had the most performance. The use of the two indices represents a preliminary step in creating flood vulnerability maps, which could represent an important tool for local authorities and a support for flood risk management policies. View Full-Text
Keywords: Flash-Flood Potential Index; Flood Potential Index; bivariate model; frequency ratio; Multilayer Perceptron Neural Networks; hybrid model Flash-Flood Potential Index; Flood Potential Index; bivariate model; frequency ratio; Multilayer Perceptron Neural Networks; hybrid model
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Popa, M.C.; Peptenatu, D.; Drăghici, C.C.; Diaconu, D.C. Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania. Water 2019, 11, 2116.

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