Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Reference61 articles.
1. Adams R et al. 2005 Using a rainfall simulator and a physically-based hydrological model to investigate runoff processes in a hillslope; Hydrol. Process. 19(11) 2209–2223, https://doi.org/10.1002/hyp.5670.
2. Angelaki A, Singh Nain S, Singh V and Sihag P 2021 Estimation of models for cumulative infiltration of soil using machine learning methods; ISH J. Hydraul. Eng. 27(2) 162–169, https://doi.org/10.1080/09715010.2018.1531274.
3. Babu R et al. 1979 Rainfall-intensity duration return period equations and nomographs of India; http://krishi.icar.gov.in/jspui/handle/123456789/38572.
4. Bai P, Song X, Wang J, Shi W and Wang Q 2010 A hillslope infiltration and runoff prediction model of neural networks optimised by genetic algorithm; In: 2010 International Conference on Mechanic Automation and Control Engineering, pp. 1256–1259.
5. Benavides I F, Solarte M E, Pabón V, Ordoñez A, Beltrán E, Rosero S and Torres C 2018 The variation of infiltration rates and physical-chemical soil properties across a land cover and land use gradient in a Paramo of southwestern Colombia; J. Soil Water Conserv. 73(4) 400–410, https://doi.org/10.2489/jswc.73.4.400.
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