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首页> 外文期刊>Australian Geomechanics >INVESTIGATION OF CONTINUING LOSS ESTIMATION FOR MEDIUM SIZED TROPICAL CATCHMENTS
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INVESTIGATION OF CONTINUING LOSS ESTIMATION FOR MEDIUM SIZED TROPICAL CATCHMENTS

机译:中型热带流域持续损失估计的调查

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The rainfall based design flood estimation techniques are commonly adopted in hydrological design and require a number of inputs including information on loss characteristics. A conceptual loss model known as the 'initial loss-continuing loss model' is widely used in Australia. The initial loss (IL) occurs at the beginning of the rainfall event, prior to the commencement of surface runoff and the continuing loss (CL) is the average rate of loss throughout the remainder of the storm. The currently recommended design loss values in Australian Rainfall and Runoff (ARR) for Queensland have some basic limitations. This paper investigated how more accurate CL values can be estimated and derived for medium sized tropical Queensland catchments using long term rainfall and stream-flow data. A base-flow separation method was used, which was characterised by a single parameter (a). This paper shows that the continuing loss estimates are not sensitive to a. Importantly, the median continuing loss values derived for three Queensland catchments are found to be much smaller than the present recommended design continuing loss values documented in the ARR (I. E. Aust, 1998), which are used by design engineers The derived value has important implications to improve the design flood estimate. The sensitivity analysis between derived and existing recommended CL values shows that the derived CL value produces higher flood peak than the existing recommended CL value in ARR (I. E. Aust, 1998).
机译:基于降雨的设计洪水估算技术通常用于水文设计,需要大量输入,包括有关损失特征的信息。在澳大利亚,一种被称为“初始连续损失模型”的概念损失模型被广泛使用。初始损失(IL)发生在降雨事件的开始,地表径流开始之前,而持续损失(CL)是整个剩余风暴的平均损失率。当前在昆士兰州的澳大利亚降雨和径流(ARR)中建议的设计损失值具有一些基本限制。本文研究了如何使用长期降雨和水流数据估算和导出中型热带昆士兰流域的更准确的CL值。使用的是基流分离方法,其特征在于单个参数(a)。本文表明,连续损失估计对a不敏感。重要的是,发现昆士兰州三个流域的连续损失中位数值比设计工程师使用的ARR(IE Aust,1998)中建议的当前设计连续损失值小得多。改进设计洪水估算。推导的和现有的推荐CL值之间的敏感性分析表明,推导的CL值产生的洪峰比ARR中现有的推荐CL值高(I. E. Aust,1998)。

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