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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-一种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 mostly insignificant trends and inexplicable spatial patterns. In our study region, Western Austria, this applies especially for trends of annually averaged runoff. However, analysing the altitudinal aspect, we found that there is a trend gradient from higher-altitude to lower-altitude stations, i.e. a pattern of mostly positive annual trends at higher stations and negative ones at lower stations. At mid-altitudes, the trends are mostly insignificant. Here we hypothesize that the streamflow trends are caused by the following two main processes: on the one hand, melting glaciers produce excess runoff at higher-altitude watersheds. On the other hand, rising temperatures potentially alter hydrological conditions in terms of less snowfall, higher infiltration, enhanced evapotranspiration, etc., which in turn results in decreasing streamflow trends at lower-altitude watersheds. However, these patterns are masked at mid-altitudes because the resulting positive and negative trends balance each other. To support these hypotheses, we attempted to attribute the detected trends to specific causes. For this purpose, we analysed trends of filtered daily streamflow data, as the causes for these changes might be restricted to a smaller temporal scale than the annual one. This allowed for the explicit determination of the exact days of year (DOYs) when certain streamflow trends emerge, which were then linked with the corresponding DOYs of the trends and characteristic dates of other observed variables, e.g. the average DOY when temperature crosses the freezing point in spring. Based on these analyses, an empirical statistical model was derived that was able to simulate daily streamflow trends sufficiently well. Analyses of subdaily streamflow changes provided additional insights. Finally, the present study supports many modelling approaches in the literature which found out that the main drivers of alpine streamflow changes are increased glacial melt, earlier snowmelt and lower snow accumulation in wintertime.
机译:流量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,从海拔高度的角度分析,我们发现从高海拔站点到低海拔站点存在一个趋势梯度,即较高站点的年趋势大多为正,较低站点的趋势为负。在中海拔地区,这种趋势几乎没有意义。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过多的径流。另一方面,升高的温度有可能以减少降雪,增加入渗,增加蒸散量等方式改变水文条件,从而导致低海拔流域的水流趋势减少。但是,由于最终的正趋势和负趋势相互平衡,因此这些模式在中等高度被掩盖。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。这样就可以在确定某些流量趋势时明确确定确切的年(DOY)日,然后将其与趋势的相应DOY和其他观测变量的特征日期联系起来,例如温度超过春季冰点时的平均DOY。基于这些分析,得出了一个经验统计模型,该模型能够很好地模拟日流量趋势。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许多建模方法,发现高山流变化的主要驱动因素是冰川融化增加,冬季融雪更早和积雪减少。

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