Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil

Pub Date : 2022-01-01 DOI:10.1590/2318-0331.272220220009
Maria Eduarda Pereira Alves, F. Fan, R. Paiva, V. Siqueira, A. Fleischmann, J. P. Brêda, L. Laipelt, Alexandre Abdalla Araújo
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引用次数: 4

Abstract

ABSTRACT Mapping flood risk areas is important for disaster management at the local, regional, and national scales. The aim of this study was to evaluate the ability of large-scale models to obtain flood hazard maps. The models were compared to the estimates developed by the Brazilian Geological Survey (CPRM) for different return periods (RP). The floods were evaluated for the municipalities of Uruguaiana, Montenegro and São Sebastião do Caí in the Rio Grande do Sul state. It was shown that the flood mapping generated by MGB covers larger areas (greater than 1000 km2; Siqueira et al. 2018), with a lower cost of obtaining for large scales. The - Hit Rate of the regional and continental MGB model versions with the CPRM maps ranged from about 40% to 90% in different cities, and the Hit Rate between the regional model and the CPRM map increased with the increased return period floods. The continental model compatibility was similar for all analyzed RPs. Our results suggest the agreement in terms of Hit Rate of current large-scale hydrological-hydrodynamic models to assess flood hazard.
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评估巴西南部大尺度水文-水动力模型绘制洪水灾害的能力
绘制洪水危险区地图对于地方、区域和国家尺度的灾害管理非常重要。本研究的目的是评估大尺度模型获得洪水灾害图的能力。这些模型与巴西地质调查局(CPRM)对不同回归期(RP)的估计进行了比较。对乌拉圭、黑山和南巴西大德州的塞巴斯蒂亚州Caí市的洪水进行了评估。结果表明,MGB生成的洪水图覆盖面积较大(大于1000 km2;Siqueira et al. 2018),大规模获取成本较低。区域和大陆MGB模型版本与CPRM地图在不同城市的命中率在40% ~ 90%之间,区域模型与CPRM地图的命中率随着汛期洪水的增加而增加。大陆模型的兼容性对于所有分析的rp是相似的。我们的研究结果表明,目前用于评估洪水灾害的大型水文-水动力模型的命中率是一致的。
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