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首页> 外文期刊>Hydrology research >Regionalizing rainfall-runoff model parameters to predict the daily streamflow of ungauged catchments in the dry tropics
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Regionalizing rainfall-runoff model parameters to predict the daily streamflow of ungauged catchments in the dry tropics

机译：对降雨径流模型参数进行区域化，以预测热带地区未灌流集水区的日流量

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摘要

A methodology has been derived which allows an estimate to be made of the daily streamflow at any point within the Burdekin catchment in the dry tropics of Australia. The input data requirements are daily rainfall (to drive the rainfall-runoff model) and mean average wet season rainfall, total length of streams, percent cropping and percent forest in the catchment (to regionalize the parameters of the rainfall-runoff model). The method is based on the use of a simple, lumped parameter rainfall-runoff model, IHACRES (Identification of unit Hydrographs And Component flows from Rainfall, Evaporation and Streamflow data). Of the five parameters in the model, three have been set to constants to reflect regional conditions while the other two have been related to physio-climatic attributes of the catchment under consideration. The parameter defining total catchment water yield (c) has been estimated based on the mean average wet season rainfall, while the streamflow recession time constant (t) has been estimated based on the total length of streams, percent cropping and percent forest in the catchment. These relationships have been shown to be applicable over a range of scales from 68-130,146 km~2. However, three separate relationships were required to define c in the three major physiographic regions of the Burdekin: the upper Burdekin, Bowen and Suttor/lower Burdekin. The invariance of the relationships with scale indicates that the dominant processes may be similar across a range of scales. The fact that different relationships were required for each of the three major regions indicates the geographic limitations of this regionalization approach. For most of the 24 gauged catchments within the Burdekin the regionalized rainfall-runoff models were nearly as good as or better than the rainfall-runoff models calibrated to the observed streamflow. In addition, models often performed better over the simulation period than the calibration period. This indicates that future improvements in regionalization should focus on improving the quality of input data and rainfall-runoff model conceptualization rather than on the regionalization procedure per se.
机译：已经推导出了一种方法，该方法可以估算澳大利亚干旱热带地区Burdekin流域内任何地点的每日流量。输入数据要求是日降雨量（以驱动降雨径流模型）和平均雨季平均降雨量，溪流总长，流域的作物百分比和森林百分比（以将降雨径流模型的参数区域化）。该方法基于简单的集总参数降雨-径流模型IHACRES（根据降雨，蒸发和水流数据识别单位水文图和分量流）。在模型的五个参数中，三个已设置为常数以反映区域条件，而其他两个已与所考虑的流域的生理气候属性相关。定义总集水量（c）的参数是根据平均湿季降水量估算的，而径流衰退时间常数（t）是根据流域的总长度，作物百分比和森林百分比估算的。这些关系已显示适用于68-130,146 km〜2的范围。但是，需要三个独立的关系来定义Burdekin的三个主要生理区域中的c：上部Burdekin，Bowen和Suttor /下部Burdekin。关系与规模的不变性表明，在一系列规模范围内，主导过程可能相似。三个主要区域中的每个区域都需要不同的关系这一事实表明了这种区域化方法的地理限制。对于Burdekin内的24个标准集水区中的大多数而言，区域化降雨径流模型几乎与根据观测到的流量校准的降雨径流模型一样好或更好。此外，在仿真期间，模型的性能通常比校准期间更好。这表明，未来区域化的改善应侧重于提高输入数据的质量和降雨径流模型的概念化，而不是区域化程序本身。

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