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Linking meteorological patterns shift to hydrological extremes in a lake watershed across the mid-high latitude transition region

机译:将气象模式连接到中高纬度过渡区域的水域中的水文极端转变为水文极端

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Climate transition at different scales complicates the dynamics of catchment water cycle. Examination of meteorological pattern shift enables us to have a deeper insight of the mechanism in hydrological extremes. Lake Hulun, the largest freshwater lake in Northern China, plays an important role in maintaining the regional ecological sustainability. The abrupt decrease of water level in the lake after 2000 has resulted in serious impacts on the lake's ecosystem. This paper presents a systematic analysis by linking meteorological dynamics with hydrological extremes based on the long-term precipitation, river discharge, and evapotranspiration (ET) data in the Lake Hulun watershed, which is a transition zone from desert to wetland and to permafrost along the Mongolia-China borderline. The results indicate that signals of large-scale precipitation variations can be well identified by using the Empirical Orthogonal Function (EOF). Spatially, the precipitation in the Lake Hulun watershed is dominated by two leading EOF patterns at the basin scale. The two leading patterns present complementary features of the high value centers in space. The amplitudes evolution of the leading patterns of EOF reveal that the redistribution of precipitation that occurred more in the middle flat plain and less in the mountain regions of the watershed triggers a big effect on the increasing ET and weakening runoff production due to the spatial heterogeneity in hydrological processes. Such effects are echoed by the trend patterns in precipitation and ET. The mechanism of the precipitation pattern shift is also confirmed by the large scale meteorological variations in geopotential and water vapor transport. Therefore, the change in the leading patterns of precipitation and the effects in ET triggered by the pattern shift in precipitation are the major causes of decrease in watershed runoff and the hydrological extremes in the terminal lake.
机译:不同尺度的气候过渡使集水循环的动态复杂化。气象模式的检查使我们能够深入了解水文极端的机制。中国北部最大的淡水湖湖湖湖,在维持区域生态可持续性方面发挥着重要作用。 2000年后湖水水平突然减少导致湖泊生态系统产生严重影响。本文通过基于长期降水,河流流域的长期降水,河流放电和蒸发数据(Evapotranspiration(et)数据与水文极端联系起来的气象动态,是从沙漠到湿地的过渡带和沿着湿地的过渡带蒙古 - 中国边疆。结果表明,通过使用经验正交功能(EOF),可以很好地识别大规模降水变化的信号。空间上,湖南湖流域的降水由盆地秤的两个领先的EOF图案主导。两个领先的模式存在空间中高价值中心的互补特征。 EOF领先模式的幅度演变揭示了在流域的中间平平平原中发生更多的降水的再分布,并在流域的山地区域中触发了对由于空间异质性而增加的ET和弱化径流产生的巨大影响水文过程。这种效果通过沉淀和ET中的趋势模式来回应。通过大规模和水蒸气运输的大规模气象变化,还证实了沉淀图案变速器的机制。因此,通过沉淀的图案变化引发的沉淀和ET的效果的改变是流域径流减少的主要原因和终端湖中的水文极端。

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