Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary

IF 1.2 Q3 GEOGRAPHY Geographica Pannonica Pub Date : 2022-01-01 DOI:10.5937/gp26-38969
Noémi Sarkadi, E. Pirkhoffer, Lóczy Dénes, L. Balatonyi, I. Geresdi, S. Fábián, G. Varga, Richárd Balogh, Alexandra Gradwohl-Valkay, Ákos Halmai, S. Czigány
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引用次数: 2

Abstract

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.
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生成匈牙利均匀加权条件因子的洪水易感性图
在过去的几十年里,在匈牙利的山区、丘陵和/或城市地区,几次高强度风暴之后发生了严重的山洪暴发和其他水文后果。本文的总体目标是对Czigány等人(2011年)首次发布的匈牙利全国山洪易感性图进行升级。利用13个影响山洪发生的环境因子,构建了1个初级流域(FFSIws)和3个沉降水平山洪易感性图(FFSIs)。FFSI地图得到了2677次记录在案的山洪暴发事件的验证。共划定了5458个流域。在所有划定的流域中,几乎正好有10%被列入极端易感性类别。虽然基于均值的ffsi的数量呈正态准高斯分布,在低和极端类别的五分位数中所占比例非常低,但基于最大值的ffsi过度强调了高和极端敏感性住区的比例。这两类合计占所有定居点的50%以上。5类(敏感性最高)的最高准确率为59.02%。与以前的地图相比,目前的地图在以下方面有所改进:(一)考虑到更多的条件因素;(二)更高的分辨率;(三)以定居点为基础;(四)更多的事件用于核查。
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来源期刊
CiteScore
2.80
自引率
11.10%
发文量
8
审稿时长
4 weeks
期刊最新文献
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