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首页> 外文期刊>Journal of the American Water Resources Association >DEFINING THE DIURNAL PATTERN OF SNOWMELT USING A BETA DISTRIBUTION FUNCTION
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DEFINING THE DIURNAL PATTERN OF SNOWMELT USING A BETA DISTRIBUTION FUNCTION

机译：使用BETA分布函数定义雪花的昼夜模式

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摘要

Snow is an important component of the hydrologic cycle for many regions worldwide. In addition to vital water resources, snowmelt can be important for forest ecosystem dynamics and flood risk. However, standard design events in the United States lack a design snowmelt event, including only precipitation events, though snowmelt has been shown to be larger than rainfall. In this article, we present a method using hourly snow water equivalent data to develop and test a function for representing the diurnal pattern of snowmelt. A two-parameter beta distribution function is modified for the purposes of this study and found to fit the pattern of snowmelt well with a root mean squared error of 0.008. Soil moisture sensors were additionally utilized to assess the timing of the snowmelt water outflow from the base of the snowpack that supports the shape of the function, but suggests that the timing of losses recorded on snow pillows lag as much as 3 h. Further testing of the function showed the shape of the function to be accurate. The methods developed and tested in this paper can be applied for design purposes comparing snowmelt and rainfall events or to improve hydrological models investigating processes such as streamflow or groundwater recharge.
机译：降雪是全球许多地区水文循环的重要组成部分。除重要的水资源外，融雪对于森林生态系统的动态变化和洪水风险也很重要。但是，在美国，标准设计事件缺乏设计融雪事件，仅包括降水事件，尽管已证明融雪大于降雨。在本文中，我们提出了一种使用每小时雪水当量数据的方法来开发和测试代表融雪日变化模式的功能。出于本研究的目的，修改了两个参数的β分布函数，发现该函数与融雪井的模式非常吻合，均方根误差为0.008。另外还利用土壤湿度传感器来评估从雪堆底部流出的融雪水的时间，该时间支持功能的形状，但建议记录在雪枕上的损失时间最多滞后3小时。对该功能的进一步测试表明该功能的形状是准确的。本文开发和测试的方法可用于比较融雪和降雨事件的设计目的，或用于改进研究诸如水流或地下水补给过程的水文模型。

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