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Stream-aquifer interaction assessment using riparian evapotranspiration estimates from remote sensing algorithms

机译:利用来自遥感算法的河岸蒸发蒸腾量估算水-含水层相互作用

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摘要

Stream-aquifer interaction in the absence of proximate, localized pumping along the stream length is a major determinant of water balance in long river reaches. There is also considerable debate on whether improving on-farm irrigation efficiency in the river valley would lead to stream-wide water use efficiency. Techniques for assessing unmeasured returns to the stream would include modelling the groundwater processes in the riverine aquifer, requiring information on hydrogeological parameters for the associated aquifers and the stream-wetted perimeter, and irrigation applications on reliable spatial and temporal scales. Assessing these parameters and operational variables is an arduous task requiring extensive drilling and testing. This study explores the technique of using water balance studies for determining unmeasured returns to the stream, using ET estimates for riparian areas from remote sensing algorithms. The study of the Colorado River reach between Parker and Imperial dams indicates the need for revising the current practice of using constant fractions of diversions in the different months to assess the unmeasured returns.
机译:在沿河段不存在近距离,局部抽水的情况下,水-渗流相互作用是长河段水量平衡的主要决定因素。关于提高河谷的农田灌溉效率是否会导致整个溪流的水利用效率,也有很多争论。评估未经测量的河流回水的技术将包括对河流含水层中的地下水过程进行建模,要求有关水层的水文地质参数和河流湿润的周长的信息以及在可靠的时空尺度上的灌溉应用。评估这些参数和操作变量是一项艰巨的任务,需要大量的钻探和测试。这项研究探索了利用水平衡研究来确定河流不可测收益的技术,并使用了遥感算法对河岸地区的ET估计。对帕克大坝和帝国大坝之间的科罗拉多河河段的研究表明,有必要修改当前的做法,即在不同月份中使用恒定比例的分流来评估未计量的收益。

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