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- MakaleAçık Erişim2022Scopus SJRQ1Three-term formulation to describe infiltration in water-repellent soils
Yilmaz, Deniz; Di Prima, Simone; Stewart, Ryan D.; Abou Najm, Majdi R.; Fernandez-Moret, David; Latorre, Borja; Lassabatere, Laurent
Modeling infiltration in water-repellent soils is difficult, as the underlying processes remain poorly quantified. However, recent work has adapted the Beerkan Soil Transfer Parameter (BEST) algorithm to include an exponential correction term for characterizing these types of soils. The original BEST-WR (WR = Water Repellent) method used a two-term approximate expansion of the Haverkamp quasi-exact implicit model. However, the BEST-WR method can have considerable inaccuracy, particularly as the time of infiltration and the soil water repellency increase. Here, we extended the BEST-WR model by adapting a three-term approximation of the Haverkamp quasi-exact implicit model to water-repellent soils. We then tested the new method using analytical data. For highly water-repellent soils, the proposed method had better performance when estimating soil sorptivity (S) and soil saturated conductivity (Ks), with respective errors of less than 1.5 % and 8 %, compared to relative errors of more than 10 % and 30 % with the two-term BEST-WR method. We also tested both approaches with experimental data. The two methods provided similar estimates for hydraulic parameters, with linear correlations between methods of R2 = 0.84 for S and R2 = 0.88 for Ks. Initial infiltration was not well modeled by either the two-term or three-term model for 33 tests, thus revealing limitations in the applied exponential model that we used to account for soil repellency. Nonetheless, the proposed three-term expression provided better fits than the two-term model for most of the infiltration runs, meaning that this new approach is more robust when modeling infiltration processes in water-repellent soils.
AtıfScopus16OpenAlex15
İncele - MakaleYalnız künye2021Scopus SJRQ2Alternative α* Parameter Estimation for Simplified Beerkan Infiltration Method to Assess Soil Saturated Hydraulic Conductivity
Yilmaz, D.
Abstract: In situ characterization of the saturated hydraulic conductivity (Ks) requires a large number of experiments, sampling, and laboratory measurements that are time-consuming and expensive. Simplified Beerkan Infiltration (SBI) method was developed to estimate an approximate Ks based on the infiltration curve without any sampling procedures. For that purpose, α* parameter, which is used in the calculation of Ks, was commonly set to a fixed value based on soil texture. This approach was not sufficient for an accurate Ks estimation. For a relatively dry soil, a new approach involving an empirical structural parameter was proposed to calculate an approximation of the α* parameter based on the shape of the steady state asymptote of the Beerkan cumulative infiltration. The new α* parameter was tested on simplified Beerkan infiltration (SBI) method in over 32 Beerkan experiments selected from the Soil World Infiltration Global (SWIG) database. The steady state SBI (SSBI) method estimated Ks with an accuracy close to those estimated with the BEST (Beerkan Estimation Soil Transfer) method. The R2 correlation factor for the SSBI method in Ks estimation with BEST intercept and steady methods were 0.982 and 0.994, respectively. For the transient SBI method, the R2 correlation factors calculated with BEST methods were lower; 0.858 and 0.827, respectively. Therefore, the application of the new α* parameter to the steady state simplified Beerkan approach allows an easy, inexpensive way to estimate accurately Ks.
AtıfScopus6WoS6OpenAlex11İncele