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Using Mountain Snowpack to Predict Summer Water Availability in Semiarid Mountain Watersheds

机译:使用山区积雪预测半干旱山区流域的夏季水利用率

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摘要

In the mountainous landscapes of the western United States, water resources are dominated by snowpack. As temperatures rise in spring and summer, the melting snow produces an increase in river flow levels. Reservoirs are used during this increase to retain surplus water, which is released to supplement growing season water supply once the peak flows decrease to below water demands. Once there is no longer surplus natural flow of water, the water accounting changes – referred to as the day of allocation (DOA), and water previously retained within the reservoir is used to supplement the lower flow levels. The amount of water stored in the reservoir on the day of this accounting shift determines the water allocated to water right holders for the remainder of the water year. Predicting the day that allocated water will be determined is of special interest to both regulators and those that retain water rights per the Prior Appropriation Law. A method to forecast this day is developed using daily snow water equivalent data for the Boise, Payette, and Upper Snake Rivers in a multiple linear regression model. The melt rates of snowpack are typically comparable to using the maximum accumulation of that snowpack as predictor variables for day of allocation. Therefore, water users can be confident in predictions based on snowpack to determine what crops can be grown. The primary controls on these variances are water demand and volume of water accumulated.
机译:在美国西部的山区景观中,积雪是水资源的主要来源。随着春季和夏季温度的升高,融化的积雪使河流流量增加。在增加水量的过程中,使用水库来保留多余的水,一旦高峰流量减少到需水量以下,就会释放水以补充生长季节的供水。一旦不再有多余的自然水流,水的会计核算就会发生变化,这称为分配日(DOA),以前保留在水库中的水将用于补充较低的水位。在该会计核算日,存储在水库中的水量决定了分配给水权持有人的水年度剩余时间的水量。预测将确定分配水的日期对于监管机构和根据《优先拨款法》保留水权的监管机构均具有特殊意义。利用多元线性回归模型中的博伊西河,佩耶特河和上斯纳克河的每日雪水当量数据,开发了一种预报这一天的方法。积雪的融化速度通常可与使用该积雪的最大累积量作为分配日的预测变量进行比较。因此,用水者可以对基于积雪的预测做出确定,以确定可以种植哪些农作物。这些变化的主要控制因素是需水量和积水量。

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    Garst, Rebecca Dawn;

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  • 年度 2017
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