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000904472 1001_ $$00000-0001-6375-617X$$aKuang, Xingxing$$b0$$eCorresponding author
000904472 245__ $$aA modification to the van Genuchten model for improved prediction of relative hydraulic conductivity of unsaturated soils
000904472 260__ $$aOxford [u.a.]$$bWiley-Blackwell$$c2021
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000904472 520__ $$aModelling of flow and transport in unsaturated soils requires information on two fundamental hydraulic properties: the soil water retention curve and relative hydraulic conductivity. A soil's relative hydraulic conductivity is frequently predicted from the soil water retention curve. The most widely used combination is the van Genuchten model for the soil water retention curve and the Mualem model for relative hydraulic conductivity (VGM). Previous studies show that the VGM model underestimates measured relative hydraulic conductivity for soils with fine textures; a sharp drop in relative hydraulic conductivity can be seen near saturation. A new modification of the van Genuchten soil water retention model is proposed with the aim of improving the agreement between predicted and measured relative hydraulic conductivity. The Brooks and Corey-Burdine model is used to predict relative hydraulic conductivity from the modified van Genuchten soil water retention curve (MVG-BCB). The modified model assumes independent m and n in the van Genuchten model but with constraints n > 2 and 0 < m < 1. The MVG-BCB model is evaluated by comparing calculated and measured data for 59 soils that have widely varying soil textures, ranging from sandstone to clay. The MVG-BCB model improves the agreement between calculated and measured data for both the soil water retention curve and relative hydraulic conductivity. The MVG-BCB model is closer to measured relative hydraulic conductivity data for most of the selected soils and the sharp drop near saturation is eliminated. Both the modified soil water retention curve and relative hydraulic conductivity functions are smooth curves and can easily be incorporated into vadose zone flow and transport modellings.
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000904472 7001_ $$0P:(DE-HGF)0$$aJiao, Jiu Jimmy$$b1
000904472 7001_ $$0P:(DE-HGF)0$$aShan, Jipeng$$b2
000904472 7001_ $$0P:(DE-Juel1)174587$$aYang, Zhenlei$$b3
000904472 773__ $$0PERI:(DE-600)2020243-X$$a10.1111/ejss.13034$$gVol. 72, no. 3, p. 1354 - 1372$$n3$$p1354 - 1372$$tEuropean journal of soil science$$v72$$x0022-4588$$y2021
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