首页> 外文期刊>Hydrology and Earth System Sciences >Climate and terrain factors explaining streamflow response and recession in Australian catchments
【24h】

Climate and terrain factors explaining streamflow response and recession in Australian catchments

机译:气候和地形因素解释了澳大利亚流域的径流响应和衰退

获取原文
       

摘要

Daily streamflow data were analysed to assess which climate and terrainfactors best explain streamflow response in 183 Australian catchments.Assessed descriptors of catchment response included the parameters of fittedbaseflow models, and baseflow index (BFI), average quick flow and averagebaseflow derived by baseflow separation. The variation in response betweencatchments was compared with indicators of catchment climate, morphology,geology, soils and land use. Spatial coherence in the residual unexplainedvariation was investigated using semi-variogram techniques. A linearreservoir model (one parameter; recession coefficient) produced baseflowestimates as good as those obtained using a non-linear reservoir (twoparameters) and for practical purposes was therefore considered anappropriate balance between simplicity and explanatory performance. About athird (27–34%) of the spatial variation in recession coefficients and BFIwas explained by catchment climate indicators, with another 53% ofvariation being spatially correlated over distances of 100–150 km, probablyindicative of substrate characteristics not captured by the available soiland geology data. The shortest recession half-times occurred in the driestcatchments and were attributed to intermittent occurrence of fast-draining(possibly perched) groundwater. Most (70–84%) of the variation in averagebaseflow and quick flow was explained by rainfall and climatecharacteristics; another 20% of variation was spatially correlated overdistances of 300–700 km, possibly reflecting a combination of terrain andclimate factors. It is concluded that catchment streamflow response can bepredicted quite well on the basis of catchment climate alone. The predictionof baseflow recession response should be improved further if relevantsubstrate properties were identified and measured.
机译:分析了每日流量数据,以评估哪种气候和地形因素最能解释澳大利亚183个集水区的流量响应。评估的集水区响应描述参数包括拟合基本流量模型的参数,基本流量指数(BFI),基本流量分离得出的平均快速流量和平均基本流量。将集水区之间的响应变化与集水区气候,形态,地质,土壤和土地利用的指标进行了比较。使用半变异函数技术研究了剩余的无法解释的变化中的空间相干性。线性储层模型(一个参数;后退系数)产生的基流估算值与使用非线性储层(两个参数)获得的基流估算值一样好,因此出于实用目的,认为该模型在简单性和解释性能之间取得了适当的平衡。流域气候指标解释了衰退系数和BFI的大约三分之一(27-34%)的空间变化,而另外53%的变化在100-150 km的距离上是空间相关的,这可能表明可用的土壤和地质学并未反映出基质特征数据。衰退期最短的一半时间发生在最干旱的集水区,这归因于间歇性快速排水(可能是栖息)地下水的发生。平均基础流量和快速流量的大部分变化(70-84%)由降雨和气候特​​征解释;另外20%的变化是与空间相关的300-700 km超距,可能反映了地形和气候因素的结合。结论是,仅根据集水区的气候就可以很好地预测集水区的水流响应。如果确定并测量了相关的基材特性,则应进一步改善对基流衰退响应的预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号