<p>Marginalized Roma communities (MRCs) located in flood prone areas represent a highly pressing research challenge. With the incentive to reduce the flood exposure, this article sets out the following. Objectives (i) the creation of a geodatabase of Slovak MRCs; (ii) a morphometric assessment of MRCs; (iii) a flood hazard index calculation for individual MRCs; (iv) a flood management recommendation for the most threatened MRCs. The study at hand is based on an analysis of remote sensing and hydrological data, a digital terrain model, and the Atlas of Roma communities (ARC). In terms of topographic analysis and landform classification, elevation percentile and elevation amplitude were used. The distance of an MRC from the nearest watercourse, the occurrence of floods in the municipality, and the barriers between an MRC and the nearest watercourse were used to estimate the flood hazard index. An analysis was carried out on a spatial geodatabase of 576 MRCs. Out of the identified Roma communities, 60.13% were in the first quartile of the elevation percentile. Topľa, Hornád 1, Torysa and Ondava 1 river basins were found to be the regions with the highest number of most exposed MRCs, sorted by descending amount of MRCs with very high flood hazard.</p>

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Extreme flood events as a neglected natural hazard for marginalized Roma communities of Slovakia

  • Marián Jančovič,
  • Anna Kidová,
  • Lukáš Michaleje

摘要

Marginalized Roma communities (MRCs) located in flood prone areas represent a highly pressing research challenge. With the incentive to reduce the flood exposure, this article sets out the following. Objectives (i) the creation of a geodatabase of Slovak MRCs; (ii) a morphometric assessment of MRCs; (iii) a flood hazard index calculation for individual MRCs; (iv) a flood management recommendation for the most threatened MRCs. The study at hand is based on an analysis of remote sensing and hydrological data, a digital terrain model, and the Atlas of Roma communities (ARC). In terms of topographic analysis and landform classification, elevation percentile and elevation amplitude were used. The distance of an MRC from the nearest watercourse, the occurrence of floods in the municipality, and the barriers between an MRC and the nearest watercourse were used to estimate the flood hazard index. An analysis was carried out on a spatial geodatabase of 576 MRCs. Out of the identified Roma communities, 60.13% were in the first quartile of the elevation percentile. Topľa, Hornád 1, Torysa and Ondava 1 river basins were found to be the regions with the highest number of most exposed MRCs, sorted by descending amount of MRCs with very high flood hazard.