Can hydraulic-energy-indices be effectively used to describe the saturated hydraulic conductivity?  

作　　者：Lucas Biasi Gastaldon Sergio Martins De Souza Tatiana Cardoso e Bufalo Robson Andre Armindo Ole Wendroth 

机构地区：[1]Federal University of Lavras(UFLA),Institute of Natural Sciences(ICN),Department of Physics,Mailbox 3037,37200-900,Lavras(MG),Brazil [2]University of Kentucky(UK),Department of Plant and Soil Sciences,Ag.Sci.North N-122M,Lexington,KY 40546-0031,USA

出　　处：《International Soil and Water Conservation Research》2024年第4期798-807,共10页国际水土保持研究(英文)

基　　金：support through the Multistate Project KY006120“Soil,Water,and Environmental Physics to Sustain Agriculture and Natural Resources”;from the University of Kentucky Agricultural Experiment Station.

摘　　要：The saturated hydraulic conductivity(K_(s))and water retention curve(SWRC)parameters are important properties for simulating soil hydrological processes and characterizing soil conservation around the world.Therefore,K_(s) and SWRC are related with the soil physical quality(SPQ)and several SPQ indices can be derived from SWRC,such as the pore size distribution,relative field capacity,plant available water,drainable porosity,and soil hydraulic-energy indices(SHEI).It is well known that the soil structure can be assessed by using SHEI,but a possible physical relationship between K_(s) and SHEI was not examined yet.Therefore,the objective of this study was to investigate the behavior of K_(s) as function of SHEI for several soil textural classes.If this relationship be proved,then SHEI might be applied to improve the K_(s) prediction by PTF models.In this work,a data set of 395 measured SWRC's were fitted to the vG equation to obtain the SHEI to verify whether they are statistically correlated and physically dependent on K_(s).The resulting parametric and non-parametric correlation results were split up according to six textural classes.The significant influence of K_(s) on at least one of the absolute SHEI(A_(a) or WR_(a))was verified on the numerical scale when all textures were grouped and on numerical and pF scales for clayey and silty textures.K_(s) showed significant impact on A_(a) and WR_(a) indices in four textural classes.Furthermore,K_(s) had influence on the sum A_(a)þWR_(a) denoted in pF scale for five of the six textural classes,with a significant linear correlation in the clayey texture when log(A_(a)+WR_(a))was applied.The significant and high correlation of K_(s) on the ratios WR_(a)/AWC and A_(a)/4D was also observed in four of the six classes,and therefore the use of these indices is recommended for the development of PTFs for K_(s) prediction.

关 键 词：Soil structure Soil permeability Soil water retention curve Soil physical quality 

分 类 号：S15[农业科学—土壤学]