Attila Nemes, University of California Riverside, Department of Environmental Sciences, Geology Building, Riverside, CA 92521, Walter J. Rawls, USDA-ARS Hydrology and Remote Sensing Laboratory, 10300 Baltimore Ave. Bldg 007., BARC-West, Beltsville, MD 20705, and Yakov A. Pachepsky, USDA/ARS/BA/ANRI/ESML, Bldg.173, Rm. 203, Powder Mill Road, Beltsville, MD 20705.
Estimation of soil hydraulic properties by pedotransfer functions (PTFs) can be used in many applications. Some of existing PTFs estimate saturated hydraulic conductivity (Ks) of the soil, using organic matter (OM) content as one of the input variables. Several authors have shown an increase in Ks with increasing OM content, a soil property that presumably improves soil structure. We used three popular PTFs to examine the relationship between OM content and Ks. We also used data originating from the US, Hungary and the European HYPRES database, to develop additional PTFs with the Group Method of Data Handling. It appears that existing PTFs negatively correlate Ks with OM content for some soils. We found indications of negative relationship between OM content and Ks with the newly developed PTFs both for directly estimated Ks, and for Ks estimated via the effective porosity of the soil, using a generalized Kozeny-Carman approach. It is not straightforward to define the exact range of soils with the inverse relationship between OM and Ks. The range appeared to be data set dependent, but it was extensive within the valid input range of each PTF.
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