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The effects of soil properties on floods in the Agri basin (southern Italy)

机译:土壤特性对阿格里盆地(意大利南部)洪水的影响

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The spatial distribution of soil properties is directly involved in the fluctuation of soil moisture conditions and in the runoff generation mechanisms. In this work, the influences of the physical characteristics of the contributing area to the peak flow were widely investigated with the aim of understanding the influences of each physical parameter. The study was conducted by means of a hydrological distributed model (Manfreda et al.), applied on the study area of the Agri river basin at Tarangelo (507 km~2), in the region of Basilicata, Italy. Two different time scales were used: the first with higher temporal resolution (1-hour) dedicated to the superficial routing, the latter at daily scale used for local water balances and subsurface flow evaluation. Using the model at daily scale, daily soil moisture maps and the river discharge at the outlet are obtained. These results were used as input for the model at the hourly scale in order to describe the initial conditions in the watershed for event simulations. The simulation was carried on by using a synthetic hourly rainfall series generated by using the IRP model proposed by Veneziano & lacobellis. By using the rainfall-runoff model it was possible to simulate a large number of extreme events and consequently evaluate the relative contributing area to the peak flow. Specifically, every cell of these areas was classified for its vegetational, pedological and morphological characteristics with the aim of interpreting the relationship between physical properties and potential contribute to flow peaks.
机译:土壤性质的空间分布直接参与土壤水分条件的波动和径流的产生机制。在这项工作中,广泛地研究了影响区域的物理特性对峰值流量的影响,旨在了解每个物理参数的影响。该研究是通过水文分布式模型(Manfreda等人)进行的,该模型应用于意大利巴斯利卡塔地区塔兰吉洛(507 km〜2)的阿格里河流域研究区域。使用了两个不同的时间尺度:第一个具有较高的时间分辨率(1小时),专门用于浅层路由,后者以每日尺度用于局部水平衡和地下流量评估。使用每日规模的模型,可以获得每日土壤湿度图和出口处的河流流量。这些结果被用作小时规模模型的输入,以便描述事件模拟中分水岭的初始条件。通过使用Veneziano&lacobellis提出的IRP模型生成的合成每小时降雨序列进行模拟。通过使用降雨径流模型,可以模拟大量的极端事件,从而评估峰值流量的相对贡献面积。具体来说,对这些区域的每个单元都按其植被,生态和形态特征进行了分类,目的是解释物理性质和潜在流量峰值之间的关系。

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