Assessing Soil Water Retention Characteristics and Their Spatial Variability Using Pedotransfer Functions  

作　　者：LIAO Kai-Hua1, XU Shao-Hui2,.2, WU Ji-Chun1, JI Shu-Hua2 and LIN Qing2 XU Shao-Hui WU Ji-Chun JI Shu-Hua LIN Qing 

机构地区：[1]Department of Hydrosciences, Nanjing University, Nanjing 210093 (China) [2]Department of,Environmental Science, Qingdao University, Qingdao 266071 (China)

出　　处：《Pedosphere》2011年第4期413-422,共10页土壤圈（英文版）

基　　金：Supported by the National Natural Science Foundation of China (Nos. 40771095,40725010,and 41030746);the Water Conservancy Science & Technology Foundation of Qingdao City,China (No. 2006-003)

摘　　要：A total of 107 soil samples were taken from the city of Qingdao,Shandong Province,China.Soil water retention data at 2.5,6,10,33,100,300,and 1 500 kPa matric potentials were measured using a pressure membrane apparatus.Multiple linear regression (MLR) was used to develop pedotransfer functions (PTFs) for single point estimation and van Genuchten parameter estimation based on readily measurable soil properties,i.e.,MLR-based point (MLRP) PTF and MLR-based parametric (MLRV) PTF.The double cross-validation method was used to evaluate the accuracy of PTF estimates and the stability of the PTFs developed in this study.The performance of MLRP and MLRV PTFs in estimating water contents at matric potentials of 10,33,and 1 500 kPa was compared with that of two existing PTFs,the Rawls PTF and the Vereecken PTF.In addition,geostatistical analyses were conducted to assess the capabilities of these PTFs in describing the spatial variability of soil water retention characteristics.Results showed that among all PTFs only the Vereecken PTF failed to accurately estimate water retention characteristics.Although the MLRP PTF can be used to predict retention characteristics through traditional statistical analyses,it failed to describe the spatial variability of soil water retention characteristics.Although the MLRV and Rawls PTFs failed to describe the spatial variability of water contents at a matric potential of 10 kPa,they can be used to quantify the spatial variability of water contents at matric potentials of 33 and 1 500 kPa.A total of 107 soil samples were taken from the city of Qingdao, Shandong Province, China. Soil water retention data at 2.5, 6, 10, 33, 100, 300, and 1 500 kPa matric potentials were measured using a pressure membrane apparatus. Multiple linear regression （MLR） was used to develop pedotransfer functions （PTFs） for single point estimation and van Genuchten parameter estimation based on readily measurable soil properties, i.e., MLR-based point （MLRP） PTF and MLR-based parametric （MLRV） PTF. The double cross-validation method was used to evaluate the accuracy of PTF estimates and the stability of the PTFs developed in this study. The performance of MLRP and MLRV PTFs in estimating water contents at matric potentials of -10, -33, and -1 500 kPa was compared with that of two existing PTFs, the Rawls PTF and the Vereecken PTF. In addition, geostatistical analyses were conducted to assess the capabilities of these PTFs in describing the spatial variability of soil water retention characteristics. Results showed that among all PTFs only the Vereecken PTF failed to accurately estimate water retention characteristics. Although the MLRP PTF can be used to predict retention characteristics through traditional statistical analyses, it failed to describe the spatial variability of soil water retention characteristics. Although the MLRV and Rawls PTFs failed to describe the spatial variability of water contents at a matric potential of -10 kPa, they can be used to quantify the spatial variability of water contents at matric potentials of -33 and -1 500 kPa.

关 键 词：double cross-validation method multiple linear regression soil water content van Genuchten parameter 

分 类 号：S152.7[农业科学—土壤学] P25[农业科学—农业基础科学]