当前位置: X-MOL 学术Vadose Zone J. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Simplified characteristic time method for accurate estimation of the soil hydraulic parameters from one-dimensional infiltration experiments
Vadose Zone Journal ( IF 2.8 ) Pub Date : 2021-05-20 , DOI: 10.1002/vzj2.20117
Mehdi Rahmati 1, 2 , Meisam Rezaei 3 , Laurent Lassabatere 4 , Renato Morbidelli 5 , Harry Vereecken 2
Affiliation  

Recently, a novel approach with excellent performance based on the concept of the characteristic infiltration time, the characteristic time method (CTM), is proposed to infer soil sorptivity (S) and saturated hydraulic conductivity (Ks) from one-dimensional (1D) cumulative infiltration. The current work provides a simplified version of the CTM, called the SCTM, by eliminating the necessity of the iteration method used in CTM and providing a similar accuracy as the original method when estimating S and Ks. We used both synthetic and experimental data to evaluate SCTM in comparison with the original CTM, as well as Sharma (SH) and curve-fitting methods. In the case of synthetically simulated infiltration experiments, the predicted S and Ks values showed an excellent agreement with their theoretical values, with Nash–Sutcliffe (E) values higher than 0.9 and RMSE values of 0.11 cm h1/2 and 0.35 cm h–1, respectively. In the case of experimental data, the SCTM showed E values larger than 0.73 and RMSE values of 0.64 cm h1/2 and 0.35 cm h–1, respectively. The accuracy and the robustness of SCTM was comparable with the original CTM when applied on synthetic infiltration curves as well as on experimental data. Similar to the original CTM, the simplified approach also does not require the knowledge of the time validity, which is needed when using approaches based on Philip's infiltration theory. The method is applicable to infiltrations with durations from 15 min to 24 h. The supplemental material presents the calculation of S and Ks using SCTM in an Excel spreadsheet.

中文翻译:

从一维入渗实验准确估计土壤水力参数的简化特征时间法

近来,随着基于所述特性浸润时间的概念优良性能的新方法,特征时间方法(CTM),提出了推断土壤吸着力(小号)和饱和水力传导率(ķ小号从一维(1D))累积渗透。当前的工作提供了 CTM 的简化版本,称为 SCTM,通过消除 CTM 中使用的迭代方法的必要性,并在估计SK s时提供与原始方法相似的精度. 我们使用合成数据和实验数据来评估 SCTM 与原始 CTM 以及 Sharma (SH) 和曲线拟合方法的比较。在综合模拟渗透实验的情况下,预测的SK s值与其理论值非常吻合,Nash-Sutcliffe ( E ) 值高于 0.9,RMSE 值分别为 0.11 cm h 1/2和 0.35 cm h –1,分别。在实验数据的情况下,SCTM 显示E值大于 0.73,RMSE 值分别为 0.64 cm h 1/2和 0.35 cm h –1, 分别。当应用于合成渗透曲线和实验数据时,SCTM 的准确性和稳健性与原始 CTM 相当。与原始 CTM 类似,简化方法也不需要时间有效性知识,而使用基于 Philip 渗透理论的方法时需要时间有效性知识。该方法适用于持续时间为 15 分钟到 24 小时的渗透。补充材料介绍了在 Excel 电子表格中使用 SCTM计算SK s
更新日期:2021-06-08
down
wechat
bug