Evaluation of some infiltration models and hydraulic parameters
By F. Haghighi, M. Gorji, M. Shorafa, Fereydoon Sarmadian, M. Mohammadi. 2010
64 citations recorded by the source corpus.
The evaluation of infiltration characteristics and some parameters of infiltration models such as sorptivity and final steady infiltration rate in soils are important in agriculture. The aim of this study was to evaluate some of the most common models used to estimate final soil infiltration rate. The equality of final infiltration rate with saturated hydraulic conductivity (Ks) was also tested. Moreover, values of the estimated sorptivity from the Philip's model were compared to estimates by selected pedotransfer functions (PTFs). The infiltration experiments used the doublering method on soils with two different land uses in the Taleghan watershed of Tehran province, Iran, from September to October, 2007. The infiltration models of Kostiakov-Lewis, Philip two-term and Horton were fitted to observed infiltration data. Some parameters of the models and the coefficient of determination goodness of fit were estimated using MATLAB software. The results showed that, based on comparing measured and model-estimated infiltration rate using root mean squared error (RMSE), Horton's model gave the best prediction of final infiltration rate in the experimental area. Laboratory measured Ks values gave significant differences and higher values than estimated final infiltration rates from the selected models. The estimated final infiltration rate was not equal to laboratory measured Ks values in the study area. Moreover, the estimated sorptivity factor by Philip's model was significantly different to those estimated by selected PTFs. It is suggested that the applicability of PTFs is limited to specific, similar conditions.
Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science
View Paper: https://www.semanticscholar.org/paper/9bc9058ed8a06b9107994cf0ae6199b82ab4b8b8
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Citations in the corpus
- Estimation and inter-comparison of infiltration models (2017, background): “, 2005; Turner, 2006; Haghighi et al., 2010). Under specific conditions, a particular model shows better predictions than others. Machiwal et al. (2006) observed infiltration was well described by the Philip’s model in wasteland in Kharagpur, India.”
- Comparison of infiltration models in NIT Kurukshetra campus (2018, background): “The actual amount of water percolating into the soil at any time is known as the infiltration rate (Haghighi et al. 2010).”
- Prediction of unsaturated hydraulic conductivity using adaptive neuro- fuzzy inference system (ANFIS) (2019, background): “The infiltration study based upon soil characteristics is important for agriculture (Haghighi et al. 2010; Rawls et al. 1993), and has attracted the attention of soil and water Scientists (Mishra et al. 2003; Swamee et al. 2014).”