首页> 外文学位 >Scale effects in determining snowmelt from mountainous basins using a distributed approach for snow water equivalence and radiation, and a point snowmelt model.
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Scale effects in determining snowmelt from mountainous basins using a distributed approach for snow water equivalence and radiation, and a point snowmelt model.

机译:在使用山区水当量和辐射的分布式方法以及点融雪模型确定高山流域融雪的尺度效应中。

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Rates of snowmelt distributed across Emerald Lake watershed, an alpine basin located in the Sierra Nevada, California, were estimated for water year 1987 using a point snowmelt model applied to regions that were classified based on distributed snow water equivalence and net solar radiation (NSR). A 5-m resolution digital elevation model (DEM) and a 5-m classified digital terrain model of snow water equivalence (SWE) were resampled to coarser resolutions (25-m, 30-m, 50-m, and 100-m) using the nearest neighbor approach. These images were used to define other snowmelt physical parameters and the initial state of the snowpack before melting. Topographic parameters calculated at 50-m and 100-m resolution exhibited significant differences in their histogram distribution as compared to the 5-m DEM. The most important were variations in slope, aspect, sky view factor, and terrain configuration factor, which influenced radiation calculations and the definition of distributed parameters for snowmelt calculations. Elevations, however, did not change significantly from one resolution to the other. The distribution of topographic parameters modeled at 25-m and 30-m, remained almost unchanged. Four, seven and ten classes of snow water equivalence and net solar radiation were combined using a band interleave process to determine the maximum number of combined classes. The point snowmelt model was then applied to these areas, which shared similar SWE and NSR characteristics, to obtain hourly melt rates. Modeled snowmelt rates were compared to the total daily discharge observed at the outlet of Emerald Lake watershed. There was good agreement for resolutions 5-, 25-, 30-, and 50-m but not for the 100-m DEM, as modeled net solar radiation was too high and water was released from the basin too early. Model performance using three tests (Nash-Sutcliffe criteria, sum of squares of the deviations and the sum of the absolute differences between observed discharge and computed melting) showed that the 30-m resolution DEM with combined classes of 7 SWE and 7 NSR provided the best snowmelt performance for this distributed approach. Finally, fractional snow cover area at one month intervals were estimated, showing that this approach offers the potential to model spatially distributed snow covered area in alpine regions.
机译:使用适用于根据分布式雪水当量和净太阳辐射(NSR)进行分类的区域的点融雪模型,估算了1987年水域整个位于加利福尼亚内华达山脉的高山盆地Emerald Lake流域的融雪速率。 。对5 m分辨率的数字高程模型(DEM)和5 m分类的雪水当量的数字地形模型(SWE)进行了重新采样,以得到更高分辨率(25-m,30-m,50-m和100-m)使用最近的邻居方法。这些图像用于定义其他融雪物理参数以及融雪之前雪堆的初始状态。与5 m DEM相比,以50 m和100 m分辨率计算的地形参数在直方图分布上显示出显着差异。最重要的是坡度,坡向,天空视野因子和地形配置因子的变化,这些变化影响了辐射计算以及融雪计算的分布式参数的定义。但是,从一种分辨率到另一种分辨率,高程并没有太大变化。在25 m和30 m处建模的地形参数分布几乎保持不变。使用频带交织过程将四个,七个和十个类别的雪水当量和净太阳辐射合并在一起,以确定合并类别的最大数量。然后将点融雪模型应用于这些地区,它们具有相似的SWE和NSR特征,以获得每小时的融化速率。将模拟的融雪速度与在翡翠湖流域出口处观察到的每日总排放量进行比较。决议5、25、30和50 m达成了很好的共识,但对于100 m DEM则没有,因为模拟的太阳净辐射太高,流域过早地释放水。使用三个测试(纳什-苏特克利夫标准,偏差的平方和与观察到的排放量和计算出的熔化之间的绝对差之和之和)进行的模型性能显示,分辨率为30-m的DEM与7 SWE和7 NSR的组合类别提供了这种分布式方法的最佳融雪性能。最后,估计了一个月间隔的积雪面积分数,表明该方法提供了对高寒地区空间分布的积雪面积建模的潜力。

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