Prediction of soil water characteristic curves based on low suction section and inflection point

doi:10.2166/ws.2022.194

	Prediction of soil water characteristic curves based on low suction section and inflection point
	Zhao, Wenju; Ma, Feng; Hu, Jiazhen; Shi, Fuyuan; Wang, Yali
刊名	Water Supply
	2022-06-01
卷号	22 期号:6 页码:6083-6093
关键词	Curve fitting Mean square error Soil moisture Textures Bulk density Characteristics parameters Inflexion point Prediction methods Soil saturation Soil water characteristic parameter Soil water characteristics Spatial variability Suction The soil-water characteristic curves (SWCC)
ISSN号	1606-9749
DOI	10.2166/ws.2022.194
英文摘要	Given the cumbersome determination method of the Soil Water Characteristic Curve (SWCC), the collapsible loess (silty clay loam) in Lanzhou was taken as the research object to explore a symmetrical prediction method for SWCC in a low suction section on the inflection point, and to determine the optimal suction section and the inflection point. The results showed that in the range of 0-7,000 cm suction, the spatial variation coefficient (CV) of soil saturation of each bulk density increased with the increase of suction. Soil saturation showed weak spatial variability when suction ,800 cm, and moderate spatial variability when suction ≥800 cm. Using a bulk density of 1.58 g/cm3 as an example, the SWCC determined by the symmetry of the bending point was compared with the measured data of 0-300, 0-500, 0-800 and 0-1,000 cm suction sections. It was found that the measured soil saturation of SWCC determined by the data for the 0-800 cm suction section was the most consistent with the predicted value. The measured and predicted saturation points of the SWCC were most consistent with suction segments of 0-800 cm. SWCC data of different textures and bulk density were used to verify the prediction method at low suction section and an inflection point of 0-800 cm. It was found that the average absolute error and root mean square error of statistical indicators were close to 0, and the correlation coefficient was greater than 0.9915. The actual and predicted values of each soil parameter were linearly correlated. This method of predicting SWCCs with low suction and inflection points ensures both a high degree of curve fitting and the accuracy of characteristic soil parameters, providing a simple method for the prediction of SWCCs and guidance for managing soil water in loessial areas. © 2022 The Authors.
语种	英语
出版者	IWA Publishing
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/159375]
专题	能源与动力工程学院
作者单位	College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Zhao, Wenju,Ma, Feng,Hu, Jiazhen,et al. Prediction of soil water characteristic curves based on low suction section and inflection point[J]. Water Supply,2022,22(6):6083-6093.
APA	Zhao, Wenju,Ma, Feng,Hu, Jiazhen,Shi, Fuyuan,&Wang, Yali.(2022).Prediction of soil water characteristic curves based on low suction section and inflection point.Water Supply,22(6),6083-6093.
MLA	Zhao, Wenju,et al."Prediction of soil water characteristic curves based on low suction section and inflection point".Water Supply 22.6(2022):6083-6093.