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引用本文:夏 天,田军仓.基于黏粒量的土壤水分特征曲线预测模型[J].灌溉排水学报,2021,(3):9-14.
XIA Tian,TIAN Juncang.基于黏粒量的土壤水分特征曲线预测模型[J].灌溉排水学报,2021,(3):9-14.
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基于黏粒量的土壤水分特征曲线预测模型
夏 天,田军仓
1.宁夏大学 土木与水利工程学院,银川 750021;2.宁夏节水灌溉与水资源调控工程技术研究中心,银川 750021;3.宁夏旱区现代农业水资源高效利用教育部工程研究中心,银川 750021
摘要:
【目的】建立基于黏粒量的土壤水分特征曲线预测模型。【方法】设计12种不同黏粒量的质量混合比处理,获得一系列合成土样,通过测定合成土样的土壤水分特征曲线,研究了在体积质量一致的条件下,黏粒量对土壤水分特征曲线参数和孔隙分布的影响。【结果】在体积质量为1.55 g/cm3条件下,黏粒量增加1.9倍,土壤中传导孔隙(0.03~1 mm)体积减小28.6%,储存孔隙(200 nm~0.03 mm)体积增加6倍,土体的持水性增强。合成土样的土壤水分特征曲线参数θs和α均与黏粒量显著正线性相关,θr与黏粒量显著负线性相关,n和m均与黏粒量呈指数衰减关系。【结论】基于黏粒量确定的土壤水分特征曲线预测模型具有较高的精度,能够快速预测土壤水分特征曲线,预测值与实测值之间相对误差<15%。
关键词:  黏粒量;土壤;水分特征曲线;模型
DOI:10.13522/j.cnki.ggps.2019243
分类号:
基金项目:
Using Clay Content to Estimate Soil Water Characteristic Curve
XIA Tian, TIAN Juncang
1. School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China; 2. Ningxia Research Center of Technology on Water-saving Irrigation and Water Resources Regulation, Yinchuan 750021, China; 3. Center of Engineering Research on Efficient Utilization of Water Resources in Modern Agriculture in Arid Regions (Ministry of Education), Yinchuan 750021, China
Abstract:
【Objective】Water retention curve is a parameter describing the ability of a soil to hold water; it is modulated by soil structure and texture. The aim of this paper is to evaluate the feasibility of using clay content to estimate water retention curve of a sandy soil.【Method】The sandy soil used in the experiment was sieved to two groups first, and 12 soils with different clay contents were made by thoroughly mixing soils taken from the two groups at different mass fractions. The water retention curve of each sample was measured in laboratory, from which we calculated the pore size distribution and analyzed the impact of the clay content.【Result】When bulk density was 1.55 g/cm3, increasing clay content by 1.9 times led to a 28.6% decrease in volume of pores with diameters in the range of 0.03~1 mm, and six times increase in volume of pores with diameter in the range of 200 nm~0.03 mm. Fitting the curves to the van Genuchten formula showed that the parameters θs and α in the formula were positively proportional to the clay content, while the parameter θr was negatively proportional to the clay content; the parameter n in the formula decreased exponentially with the clay content.【Conclusion】There were close correlations between all parameters in the van Genuchten formula and the clay content in the sandy soil we studied. These correlations, along with the van Genuchten formula, can be used to estimate the water retention curve of the sandy soil after its clay content changes due to cultivation and/or erosion. For all soils with different clay contents we studied, the absolute errors between the estimated and the observed water contents were less than 15%. These results have implications for numerical simulation of water flow and solute transport in these soils.
Key words:  clay content; soil; water characteristic curve; model