城市洪水灾害图的编制方法

Pub Date : 2019-01-01 DOI:10.1590/2318-0331.241920180125
R. C. Siqueira, P. Moura, T. Silva
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引用次数: 2

摘要

洪水灾害是世界范围内造成经济损失和生命损失的主要原因之一。不幸的是,它们的发生变得越来越频繁和严重。为了最大限度地减少人口面临的危险,有必要投资于有助于与城市排水管理有关的决策过程的工具。本文提出了一种构建城市流域洪水灾害图的方法。将暴雨水管理模型(SWMM)应用于巴西贝洛奥里藏特的Cachoeirinha流域。利用研究区监测站记录的降水数据和水位对该模型进行了校准和验证。校正和验证的Nash-Sutcliffe系数分别为0.72和0.70。该模型的性能令人满意,尽管该模型不能代表导致紧急和溢出警报的更强烈的降雨事件。建模结果允许构建危害图表,该图表定义了危害范围或危害警告级别,作为累积降雨量和持续时间的函数。根据实际降水事件对所构建的图进行评估,并证明是有效的,因为大多数事件与图中定义的预警级别相对应。本研究提出的洪水灾害图是洪水风险管理的一个有价值的工具,因为它有可能减少遭受洪水灾害的风险。
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Methodology for the construction of an urban flood hazard chart
ABSTRACT Flood events are one of the major causes of economic loss and the loss of life worldwide. Unfortunately, their occurrence has become increasingly more frequent and of greater magnitude. In order to minimize the population’s exposure to danger, it is necessary to invest in tools that aid in the decision-making process related to urban drainage management. The present work proposes a methodology for the construction of a Flood Hazard Chart for urban watersheds. The Storm Water Management Model (SWMM) was applied to the Cachoeirinha Watershed (Belo Horizonte, Brazil). The model was calibrated and validated using precipitation data and water levels recorded in monitoring stations located in the study area. The Nash-Sutcliffe Coefficients for the calibration and validation were 0.72 and 0.70, respectively. The performance of the model was satisfactory, although the model was not able to represent the more intense rain events that led to emergency and overflow warnings. Modeling results allowed the construction of the hazard chart, which defined hazard ranges or warning levels of hazard as a function of accumulated rainfall and duration. The constructed graph was assessed from real precipitation events and proved to be valid, since most events corresponded with the defined warning levels in the chart. The Flood Hazard Chart proposed in this research is a valuable tool for flood risk management as it has the potential to reduce exposure to flood disasters.
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