Analysis of soil boundary conditions of flash floods in a small basin in SW Hungary

P. Hegedüs, S. Czigány, L. Balatonyi, E. Pirkhoffer
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引用次数: 11

Abstract

Flash floods are one of the most significant natural hazards of today. Due to the complexity of flash flood triggering factors, to prevent or mitigate flood triggered losses, numeric model based flood forecasting models are capable tools to predict stream water levels. The main goal of the current research was to reproduce two flow peaks with the HEC-HMS rainfall-runoff model and test the model sensitivity for various input parameters. To obtain sufficient input data, we monitored soil depth, maximum infiltration rate, soil moisture content, rainfall, time of concentration and flow. To obtain input data, parameters were calculated, measured in the Sás Valley experimental watershed (SW Hungary) or optimized with the built in function of the HEC-HMS. Soil moisture was monitored in the 1.7 km2 pilot catchment over the period between September 2008 and September 2009. HEC-HMS had a good performance reproducing the two events, however simulated flow time series are highly influenced by the antecedent soil moisture, infiltration rate and canopy storage. Outflow modeled data were verified for two flood events (June 4, 2008 and July 9, 2009). The HEC-HMS was over-sensitive for input soil moisture and with increasing input rainfall and increasing outflow, larger simulation errors were observed.
匈牙利西南部小流域山洪暴发土壤边界条件分析
山洪暴发是当今最严重的自然灾害之一。由于山洪触发因素的复杂性,为了预防或减轻洪水引发的损失,基于数值模型的洪水预报模型是预测河流水位的有效工具。本研究的主要目标是利用HEC-HMS降雨径流模型再现两个流量峰值,并测试模型对不同输入参数的敏感性。为了获得足够的输入数据,我们对土壤深度、最大入渗速率、土壤含水量、降雨量、集中时间和流量进行了监测。为了获得输入数据,计算参数,在Sás Valley实验流域(匈牙利西南部)测量或使用HEC-HMS的内置功能进行优化。在2008年9月至2009年9月期间对1.7平方公里试点流域的土壤湿度进行了监测。HEC-HMS对这两个事件的模拟效果较好,但模拟的流量时间序列受前期土壤湿度、入渗速率和冠层蓄积量的影响较大。对两次洪水事件(2008年6月4日和2009年7月9日)的流出量模型数据进行了验证。HEC-HMS对输入土壤水分过于敏感,随着输入降雨量的增加和流出量的增加,模拟误差增大。
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来源期刊
Central European Journal of Geosciences
Central European Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
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