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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：分区降雨-径流模型参数，以预测热带干旱地区未开垦集水区的日流量

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A methodology has been derived which allows an estimate to be made of the daily streamflow atnany point within the Burdekin catchment in the dry tropics of Australia. The input datanrequirements are daily rainfall (to drive the rainfall–runoff model) and mean average wet seasonnrainfall, total length of streams, percent cropping and percent forest in the catchment (tonregionalize the parameters of the rainfall–runoff model). The method is based on the use of ansimple, lumped parameter rainfall–runoff model, IHACRES (Identification of unit Hydrographs AndnComponent flows from Rainfall, Evaporation and Streamflow data). Of the five parameters in thenmodel, three have been set to constants to reflect regional conditions while the other two havenbeen related to physio-climatic attributes of the catchment under consideration. The parameterndefining total catchment water yield (c) has been estimated based on the mean average wetnseason rainfall, while the streamflow recession time constant (t) has been estimated based onnthe total length of streams, percent cropping and percent forest in the catchment. Thesenrelationships have been shown to be applicable over a range of scales from 68–130,146km2.nHowever, three separate relationships were required to define c in the three major physiographicnregions of the Burdekin: the upper Burdekin, Bowen and Suttor/lower Burdekin. The invariance ofnthe relationships with scale indicates that the dominant processes may be similar across a rangenof scales. The fact that different relationships were required for each of the three major regionsnindicates the geographic limitations of this regionalization approach. For most of the 24 gaugedncatchments within the Burdekin the regionalized rainfall–runoff models were nearly as good as ornbetter than the rainfall–runoff models calibrated to the observed streamflow. In addition, modelsnoften performed better over the simulation period than the calibration period. This indicates thatnfuture improvements in regionalization should focus on improving the quality of input data andnrainfall–runoff model conceptualization rather than on the regionalization procedure per se.
机译：已经推导出了一种方法，该方法可以对澳大利亚干旱热带地区Burdekin流域内每天流量的估计值。输入数据的要求是日降雨（以驱动降雨－径流模型）和平均雨季平均降雨量，溪流的总长度，集水百分比和森林中的森林百分比（将降雨－径流模型的参数分区域化）。该方法基于简单的集总参数降雨径流模型IHACRES（从降雨，蒸发和水流数据中识别水文单位AndnComponent流量）。在该模型的五个参数中，三个已设置为常数以反映区域条件，而其他两个尚未与所考虑的流域的生理气候属性相关。定义总集水量的参数（c）是根据平均湿季平均降雨量来估算的，而流量下降时间常数（t）是根据流域的总长度，作物的百分比和森林的百分比来估算的。业已证明，这些相关性适用于从68至130,146平方千米的范围。n然而，在Burdekin的三个主要地貌区域中需要三个单独的关系来定义c：上部Burdekin，Bowen和Suttor /下部Burdekin。尺度关系的不变性表明，在一系列尺度范围内，主导过程可能相似。三个主要区域中的每一个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个集水区，大多数区域的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。此外，在仿真期间，模型通常比校准期间表现更好。这表明，未来对区域化的改进应该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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