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Attribution of high resolution streamflow trends in Western Austria – an approach based on climate and discharge station data

机译:奥地利西部高分辨率水流趋势的归因-基于气候和排放站数据的方法

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The results of streamflow trend studies are often characterized by mostlyinsignificant trends and inexplicable spatial patterns. In our study region,Western Austria, this applies especially for trends of annually averagedrunoff. However, analysing the altitudinal aspect, we found that there is atrend gradient from higher-altitude to lower-altitude stations, i.e. apattern of mostly positive annual trends at higher stations and negativeones at lower stations. At mid-altitudes, the trends are mostlyinsignificant. Here we hypothesize that the streamflow trends are caused bythe following two main processes: on the one hand, melting glaciers produceexcess runoff at higher-altitude watersheds. On the other hand, risingtemperatures potentially alter hydrological conditions in terms of lesssnowfall, higher infiltration, enhanced evapotranspiration, etc., which inturn results in decreasing streamflow trends at lower-altitude watersheds.However, these patterns are masked at mid-altitudes because the resultingpositive and negative trends balance each other. To support thesehypotheses, we attempted to attribute the detected trends to specificcauses. For this purpose, we analysed trends of filtered daily streamflowdata, as the causes for these changes might be restricted to a smallertemporal scale than the annual one. This allowed for the explicitdetermination of the exact days of year (DOYs) when certain streamflow trendsemerge, which were then linked with the corresponding DOYs of the trends andcharacteristic dates of other observed variables, e.g. the average DOY whentemperature crosses the freezing point in spring. Based on these analyses,an empirical statistical model was derived that was able to simulate dailystreamflow trends sufficiently well. Analyses of subdaily streamflow changesprovided additional insights. Finally, the present study supports manymodelling approaches in the literature which found out that the main driversof alpine streamflow changes are increased glacial melt, earlier snowmeltand lower snow accumulation in wintertime.
机译:潮流趋势研究的结果通常以几乎没有意义的趋势和无法解释的空间模式为特征。在我们的研究区域西奥地利,这尤其适用于年平均径流量趋势。但是,通过分析海拔高度方面,我们发现从高海拔站点到低海拔站点之间存在不适当的梯度,即较高站点的年趋势大多为正,较低站点的负数为年率趋势。在中海拔地区,趋势几乎没有意义。在这里,我们假设水流趋势是由以下两个主要过程引起的:一方面,冰川融化在高海拔流域产生了过多的径流。另一方面,温度升高可能会降低降雪量,增加入渗量,增加蒸散量等因素改变水文条件,从而导致低海拔流域的水流趋势减少,但是由于正值导致这些模式在中海拔被掩盖了和负面趋势相互平衡。为了支持这些假设,我们尝试将检测到的趋势归因于特定原因。为此,我们分析了过滤后的每日流量数据的趋势,因为这些变化的原因可能仅限于比年度变化更小的时间尺度。这样可以明确确定当出现某些流量趋势时的确切天数(DOY),然后将其与趋势的相应DOY以及其他观测变量(如观测到的特征日期)关联起来。春季温度超过冰点时的平均DOY。基于这些分析,得出了能够很好地模拟日流量趋势的经验统计模型。次日流量变化的分析提供了更多的见解。最后,本研究支持文献中的多种建模方法,发现高山流变化的主要驱动力是冰川融化增加,冬季融雪较早和积雪减少。

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