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A physically based analytical model to predict infiltration under surge irrigation.

机译:一种基于物理的分析模型,可预测涌浪灌溉下的入渗量。

摘要

A significant advantage attributed to surge flow irrigation is that for the same volume of water applied the stream will advance farther along the furrow than with continuous flow. This potentially will reduce runoff and deep percolation which will improve uniformity and application efficiency where this advance phenomenon holds. The mechanism for improvement in advance time has generally been ascribed to surface sealing and surface layer consolidation. However, these phenomena do not satisfactorily explain improved advance times in sandy soils. Widely used infiltration equations which require the determination of empirical coefficients are unsatisfactory as predictors of infiltration conditions of intermittent wetting. The Green-Ampt model and a simple redistribution model are combined into an analytical model to predict infiltration under surge irrigation. The model results are compared to infiltration tests on soil columns of three soils of different soil textures. Also the model and the experimental results from the soil columns are compared to predictions made by two numerical solutions of the Richard's equation. One of the numerical models includes the effect of hysteresis by the use of Mualem's model to predict the variation of moisture content with potential, the other numerical model neglects the effect of hysteresis. A comparison of the analytical and the numerical models shows good agreement in their predictions for the soils and surge cycles tested. A comparison of predictions made by all three models shows good correlation to the experimental results. Although the number of tests done on the analytical model were limited it appears to be nearly as good a predictor of infiltration as the numerical models. The greatest strength of the analytical model is that while the numerical models took many hours to do a single run, the analytical model took only a few minutes. Both model and experimental results indicate that there was no reduction in infiltration rates or volumes infiltrated with intermittent as compared to continuous wetting. Thus the reduction in hydraulic gradient is not a factor in the reduced infiltration observed by others.
机译:涌流灌溉的一个显着优势是,与连续流相比,在施加相同量的水的情况下,水流沿着犁沟前进的更多。这可能会减少径流和深度渗滤,从而改善这种现象继续存在的均匀性和施工效率。改善提前时间的机制通常归因于表面密封和表面层固结。然而,这些现象不能令人满意地解释在砂质土壤中改进的推进时间。广泛使用的需要确定经验系数的渗透方程不能令人满意地预测间歇润湿的渗透条件。将Green-Ampt模型和简单的再分配模型组合为一个分析模型,以预测在潮灌条件下的入渗量。将模型结果与不同质地的三种土壤的土壤柱上的入渗试验进行比较。还将土柱的模型和实验结果与由理查德方程的两个数值解得出的预测进行比较。一个数值模型包括通过使用Mualem模型预测水分含量随电位的变化而产生的磁滞效应,另一个数值模型则忽略了磁滞效应。分析模型和数值模型的比较表明,它们对测试的土壤和喘振周期的预测吻合良好。所有这三个模型所作的预测结果的比较表明与实验结果具有良好的相关性。尽管在分析模型上进行的测试数量有限,但它似乎与数值模型几乎一样是渗透率的预测指标。分析模型的最大优势在于,虽然数值模型需要花费数小时才能完成一次运行,但分析模型仅花费了几分钟。模型和实验结果均表明,与连续润湿相比,渗透率或间歇渗透的体积没有减少。因此,水力梯度的减小不是其他人观察到的渗透减少的因素。

著录项

  • 作者

    Killen Mark Albert.;

  • 作者单位
  • 年度 1988
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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