Comparison of infiltration models
By S. Mishra, J. Tyagi, Vijay P. Singh. 2003
245 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/4b8e7fdf1d8e4f1186464437021bf56a9c448382
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Parveen Sihag
- N. K. Tiwari
- S. Ranjan
- Shoja Ghorbani Dashtaki
- M. Gorji
- Fereydoon Sarmadian
- M. Mohammadi
Citations in the corpus
- 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).”
- Evaluation of infiltration models with different numbers of fitting parameters in different soil texture classes (2014, background): “Mishra et al. (2003) examined the suitability of the infiltration models with coefficient of efficiency.”
- Evaluation of some infiltration models and hydraulic parameters (2010, background): “…of infiltration models should be tested under different conditions, because the various models can suppose different final infiltration rate values for a soil, which is not correct, while the final infiltration rate is generally a soil-dependent parameter (Singh, 1992; Mishra et al., 2003).”
- Estimation and inter-comparison of infiltration models (2017, background): “Many researchers have compared the accuracy of the models by comparing the computed and observed infiltration rates (Hopmans, 1995; Mishra et al., 2003; Chahinian et al., 2005; Turner, 2006; Haghighi et al., 2010).”