UDC 911.2
P. Pereira, PhD
Environmental Management Center Mykolas Romeris UniversityAteities g. 20, LT-08303 Vilnius, Lithuania E-mail: Paulo@mruni.eu
M. Oliva, PhD
Institute of Geography and Territorial PlanningUniversity of Lisbon Alameda da Universidade1600-214 – Lisbon, Portugal E-mail: Moliva@campus.ul.pt
(Reviewed by the editorial board member O. Menshov) Soil Water Repellency (SWR) is a natural property of soils with impacts on soil erosion, water infiltration, superficial and sub-surface hydrology, nutrients leaching and plant growth. Purpose: Study the spatial distribution and identify the most accurate interpolation method to estimate SWR in an abandonedagricultural field. Methodology: A plot with 21 m2 (07x03 m) was designed. Inside this plot SWR was measured in the field every 50 cm. In order
to identify the most reliable map, we tested several interpolation methods, as Ordinary Kriging (KRG), Inverse Distance to a Weight (IDW) with the power of 1, 2, 3, 4 and 5, Radial Basis Function (RBF) (Inverse, Multiquadratic, Multilog, Multiquadratic,
Natural Cubic Spline and Thin Plate, Spline) and, Local Polynomial, with the power of 1 and 2.
Findings: The results show that SWR was very heterogeneous, even in small distances, showing that soil hydrological prop-
erties can change very quickly in space. The spherical model was the best predictor of SWR and the most accurate interpolation method was the Multilog and the more biased the Natural Cubic Spline.
Originality: The test of several interpolation methods in SWR spatial distribution were not explored in detail, and this study
represents an advance in this field. Practical value: A better interpolation of SWR and other variables will help to have a better understanding of small scale
processes in larger areas. Mapping with a better accuracy will improve models and contribute to a better prediction.