Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary
Over the past decades, in the mountainous, hilly and/or urban areas of Hungary several high-intensity storms were followed by severe flash flooding and other hydrologic consequences. The overall aim of this paper was to upgrade the national flash flood susceptibility map of Hungary first published b...
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Format: | Article |
Language: | English |
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University of Novi Sad, Department of Geography, Tourism and Hotel Management
2022-01-01
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Series: | Geographica Pannonica |
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2022/0354-87242203200S.pdf |
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author | Sarkadi Noémi Pirkhoffer Ervin Lóczy Dénes Balatonyi László B. Geresdi István Fábián Szabolcs Ákos Varga Gábor Balogh Richárd Gradwohl-Valkay Alexandra Halmai Ákos Czigány Szabolcs |
author_facet | Sarkadi Noémi Pirkhoffer Ervin Lóczy Dénes Balatonyi László B. Geresdi István Fábián Szabolcs Ákos Varga Gábor Balogh Richárd Gradwohl-Valkay Alexandra Halmai Ákos Czigány Szabolcs |
author_sort | Sarkadi Noémi |
collection | DOAJ |
description | Over the past decades, in the mountainous, hilly and/or urban areas of Hungary several high-intensity storms were followed by severe flash flooding and other hydrologic consequences. The overall aim of this paper was to upgrade the national flash flood susceptibility map of Hungary first published by Czigány et al. (2011). One elementary watershed level (FFSIws) and three settlement level flash flood susceptibility maps (FFSIs) were constructed using 13 environmental factors that influence flash flood generation. FFSI maps were verified by 2,677 documented flash flood events. In total, 5,458 watersheds were delineated. Almost exactly 10% of all delineated watersheds were included into the category of extreme susceptibility. While the number of the mean-based FFSIs demonstrated a normal quasi-Gaussian distribution with very low percentages in the quintile of low and extreme categories, the maximum-based FFSIs overemphasized the proportion of settlements of high and extreme susceptibility. These two categories combined accounted for more than 50% of all settlements. The highest accuracy at 59.02% for class 5 (highest susceptibility) was found for the majority based FFSIs. The current map has been improved compared to the former one in terms of (i) a higher number of conditional factors considered, (ii) higher resolution, (iii) being settlement-based and (iv) a higher number of events used for verification. |
first_indexed | 2024-04-12T15:08:09Z |
format | Article |
id | doaj.art-cf8728d70eaf4332999e393fcac847d6 |
institution | Directory Open Access Journal |
issn | 0354-8724 1820-7138 |
language | English |
last_indexed | 2024-04-12T15:08:09Z |
publishDate | 2022-01-01 |
publisher | University of Novi Sad, Department of Geography, Tourism and Hotel Management |
record_format | Article |
series | Geographica Pannonica |
spelling | doaj.art-cf8728d70eaf4332999e393fcac847d62022-12-22T03:27:53ZengUniversity of Novi Sad, Department of Geography, Tourism and Hotel ManagementGeographica Pannonica0354-87241820-71382022-01-0126320021410.5937/gp26-389690354-87242203200SGeneration of a flood susceptibility map of evenly weighted conditioning factors for HungarySarkadi Noémi0Pirkhoffer Ervin1Lóczy Dénes2Balatonyi László B.3Geresdi István4Fábián Szabolcs Ákos5Varga Gábor6Balogh Richárd7Gradwohl-Valkay Alexandra8Halmai Ákos9Czigány Szabolcs10University of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryGeneral Directorate of Water Management, Szabolcs Czigány, Budapest, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryUniversity of Pécs, Institute of Geography and Earth Sciences, Pécs, HungaryOver the past decades, in the mountainous, hilly and/or urban areas of Hungary several high-intensity storms were followed by severe flash flooding and other hydrologic consequences. The overall aim of this paper was to upgrade the national flash flood susceptibility map of Hungary first published by Czigány et al. (2011). One elementary watershed level (FFSIws) and three settlement level flash flood susceptibility maps (FFSIs) were constructed using 13 environmental factors that influence flash flood generation. FFSI maps were verified by 2,677 documented flash flood events. In total, 5,458 watersheds were delineated. Almost exactly 10% of all delineated watersheds were included into the category of extreme susceptibility. While the number of the mean-based FFSIs demonstrated a normal quasi-Gaussian distribution with very low percentages in the quintile of low and extreme categories, the maximum-based FFSIs overemphasized the proportion of settlements of high and extreme susceptibility. These two categories combined accounted for more than 50% of all settlements. The highest accuracy at 59.02% for class 5 (highest susceptibility) was found for the majority based FFSIs. The current map has been improved compared to the former one in terms of (i) a higher number of conditional factors considered, (ii) higher resolution, (iii) being settlement-based and (iv) a higher number of events used for verification.https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2022/0354-87242203200S.pdfflood potentialflash floodsusceptibilityarcgisffsiconditional factors |
spellingShingle | Sarkadi Noémi Pirkhoffer Ervin Lóczy Dénes Balatonyi László B. Geresdi István Fábián Szabolcs Ákos Varga Gábor Balogh Richárd Gradwohl-Valkay Alexandra Halmai Ákos Czigány Szabolcs Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary Geographica Pannonica flood potential flash flood susceptibility arcgis ffsi conditional factors |
title | Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary |
title_full | Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary |
title_fullStr | Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary |
title_full_unstemmed | Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary |
title_short | Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary |
title_sort | generation of a flood susceptibility map of evenly weighted conditioning factors for hungary |
topic | flood potential flash flood susceptibility arcgis ffsi conditional factors |
url | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2022/0354-87242203200S.pdf |
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