在实地条件下评估粘壤土和红土的渗透模型

Shubham Kindo, Narendra Agrawal, A. Shori
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引用次数: 0

摘要

调查的目的是借助渗透模型计算土壤渗透率。渗透模型有助于设计和评估地表灌溉系统。研究计算了两种土壤(粘壤土和红土)在田间条件(未耕作和已耕作)下的恒定渗透率。实验采用了双环渗透仪。模型中各种常数的值是通过图形技术,利用平均值的方法计算得出的。将渗透测试数据与 Philip、Horton 和 Kostiakov 等著名的渗透模型以及 Nash- Sutcliffe 效率(NSE)、判定系数(R2)和均方根误差(RMSE)统计量进行拟合,以评估模型的有效性。 结果表明,菲利普模型最为可靠,其 R2、NSE 和 RMSE 值分别为 0.9044-0.9677、0.294-0.957 和 1.2647-5.7129。因此,在相同的情况下,在没有任何渗透信息的情况下,可以采用上述模型来人为生成渗透信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of infiltration models in clay loam and laterite soils under field conditions
The purpose of the investigation is to calculate soil infiltration rates with the help of infiltration models. The infiltration model helps to design and evaluate surface irrigation systems. The study calculated constant infiltration for two types of soils (clay loam soil and laterite soil) under field conditions (Unploughed and Ploughed). The double-ring infiltrometer has been implemented to experiment. The value of various constants of the models was calculated using the approach of averages counselled through a graphical technique. Fitting infiltration test data to prominent infiltration models such as Philip’s, Horton's and Kostiakov’s and The Nash- Sutcliffe efficiency (NSE), coefficient of determination (R2) and root mean square error (RMSE) statistics are used to evaluate the effectiveness of the model.  The results indicate that Philip's model is the most reliable, with R2, NSE, and RMSE values ranging from 0.9044-0.9677, 0.294-0.957 and 1.2647-5.7129, respectively. Therefore, under identical circumstances and without any kind of infiltration information, the above model can be employed to artificially produce infiltration information.  
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