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MODELING OF ARTIFICIAL RECHARGE WELLS OF DIFFERENT SHAPES AND EFFECT ON RECHARGE EFFICIENCY

机译:不同形状的人工补给井建模及对充电效率的影响

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(1) The combination of sand tank experiment and numerical experiment was effective to discover the flow feature of the artificial recharge well. When large scale field experiment might be difficult to conducted, this method was an effective ways to design the size of the recharge wells. (2) There was no a linear relationship between average recharge and well depth/diameter. The well depth had more effect on the recharge rate than the well diameter did. (3) According to the well depth, the recharge well could be divided into dry well, dry-wet well and wet well. The dynamics and steady shapes of the water mound were distinct, when recharge wells of different types were selected for injecting water. (4) The recharge rate of per unit well depth (RPUD) was used to determine the optimum recharge efficiency. The relationship between RPUD and well depth could be divided into four sections. The RPUD would reach the optimum value in the section Ⅲ.
机译:(1)砂罐实验和数值实验的组合可有效地发现人工补给井的流动特征。当大规模场实验可能难以进行时,这种方法是设计充电井大小的有效方法。 (2)平均充电与深度/直径之间没有线性关系。井深对补给率的影响比井直径更多。 (3)根据孔深度,充电井可以分为干燥良好,干湿良好,湿润。 The dynamics and steady shapes of the water mound were distinct, when recharge wells of different types were selected for injecting water. (4)每单位井深度(RPUD)的充电率用于确定最佳的充电效率。 RPUD和深度之间的关系可以分为四个部分。 RPUD将达到Ⅲ节中的最佳值。

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