Flood susceptibility mapping in Erythropotamos river basin with the aid of Remote Sensing and GIS

IF 0.5 Q3 GEOGRAPHY AUC Geographica Pub Date : 2020-07-31 DOI:10.14712/23361980.2020.11
C. Domakinis, A. Mouratidis, K. Voudouris, T. Astaras, M. Karypidou
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引用次数: 4

Abstract

Erythropotamos is a tributary of river Evros and during the last decade its drainage basin flooded many times, causing extensive damage on properties. In order to assess flood susceptibility in the aforementioned study area, the inundated areas of floods that occurred in 2010, 2017 and 2018 were initially delineated with the aid of SAR (Synthetic Aperture Radar) imagery by applying an established flood delineation methodology. Subsequently, flood susceptibility mapping was conducted for the study area by applying the Analytical Hierarchy Process (AHP). Topographical, hydrological and meteorological factors were used and each one of them was classified into three (3) flood susceptibility categories (low, medium and high). The determination of the importance for each factor over the others, which is the main objective of this research, was decided according to the proportion of the 2010 inundated area, captured by ENVISAT/ASAR imagery, which intersected with each factor’s high susceptibility class. Finally, the resulting flood susceptibility map was validated according with the inundated areas of the 2017 and 2018 flood events, captured by SENTINEL – 1 A/B imagery, indicating that approximately 60% of both of these areas intersected with the map’s high susceptibility zone.
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基于遥感和GIS的红壤河流域洪水易感度制图
red potamos是埃夫罗斯河(river Evros)的一条支流,在过去十年中,其流域多次淹水,对财产造成了广泛的破坏。为了评估研究区的洪水易感性,本文采用已建立的洪水圈定方法,借助合成孔径雷达(SAR)图像,初步圈定了2010年、2017年和2018年发生洪水的淹没区域。随后,应用层次分析法(AHP)对研究区进行洪水敏感性制图。利用地形、水文和气象因子,将其分别划分为低、中、高3类洪水易感性。确定每个因素相对于其他因素的重要性是本研究的主要目标,这是根据ENVISAT/ASAR图像捕获的2010年淹没面积的比例决定的,该比例与每个因素的高敏感等级相交。最后,根据SENTINEL - 1 A/B图像捕获的2017年和2018年洪水事件的淹没区域对所得的洪水易感度图进行验证,结果表明,这两个区域中约有60%与地图的高易感区相交。
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来源期刊
AUC Geographica
AUC Geographica GEOGRAPHY-
CiteScore
1.20
自引率
0.00%
发文量
11
审稿时长
20 weeks
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