| Cite this article: | 夏天,田军仓.基于粘粒含量的土壤水分特征曲线预测模型试验研究[J].灌溉排水学报,0,():-. |
| XIA Tian,TIAN Juncang.基于粘粒含量的土壤水分特征曲线预测模型试验研究[J].灌溉排水学报,0,():-. |
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| Predicting model of Soil Water Characteristic Curve based on Clay Content - the Experimental Study |
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XIA Tian1,2,3,2,4,2, TIAN Juncang1,3
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1.College of Civil and Hydraulic Engineering,Ningxia University;2.China;3.Ningxia Research Center of Technology on Water-saving Irrigation and Water Resources Regulation;4.Center of Engineering Research on Efficient Utilization of Water Resources in Modern Agriculture in Arid Regions Ministry of Education
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| Abstract: |
| 【Objective】The aim of this study is to derive a predicting model of soil water characteristic curve base on clay content.【Method】The soil used for the experiment was the natural sandy soil sieved into two groups. Based on different mass percentage of the above two groups of soil, totally twelve treatments were designed for mixing them homogenously, and a series of mixed soil samples were obtained. Then the soil water characteristic curve for each treatment of combined soil was measured, in order to analyze the effect of clay content on soil water characteristic curve and the pore space distribution. In addition, the quantitative relation between the parameters of the soil water characteristic curve and the clay content were derived.【Result】 The results show that when the clay content increases by 1.9 times, the volume of pore space with effective diameter of 0.03~1 mm i.e. the transmission pore, decreases by 28.6% and that of storages pore (200nm~0.03 mm) increases by 6 times. What’s more, the derived parameters θs and α both show significant positive linear correlation with the clay content. Parameter θr shows significant negative linear correlation with the clay content and parameters n and m both significantly decrease exponentially with clay content. 【Conclusion】 The derived model for predicting soil water characteristic curve based on clay content is of high accuracy, which is quick and reliable for predicting soil water characteristic curve, with the absolute error between predicted and observed water content smaller than 15%. The results obtained in our study will be useful for numerical simulation of water movement through soil. |
| Key words: clay content; soil water characteristic curve; predicting model |
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