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Spatial Variability of Field‐Measured Infiltration Rate
Author(s) -
Vieira S. R.,
Nielsen D. R.,
Biggar J. W.
Publication year - 1981
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj1981.03615995004500060007x
Subject(s) - variogram , infiltration (hvac) , loam , spatial variability , row , sampling (signal processing) , soil science , mathematics , spatial dependence , hydrology (agriculture) , statistics , environmental science , geology , kriging , soil water , geotechnical engineering , meteorology , geography , computer science , physics , optics , database , detector
Spatial variability of 1,280 field‐measured infiltration rates on Yolo loam (fine‐silty, mixed, nonacid, thermic Typic Xerorthents) was studied using geostatistical concepts. The measurements were made at the nodes of an irregular grid consisting of 160 rows and eight columns. Sample spacing within columns was 1 m. Columns were spaced irregularly at 1, 5, 15, and 19 m. A variogram for the 1,280 measurements was used to krige 800 additional values within five more columns and to draw a contour map of the area. The large number of measured values made it possible to calculate the minimum number of samples necessary to reproduce the infiltration rate measurements with a fairly large approximation. As a result, it could be concluded that a minimum of 128 samples was enough to obtain nearly the same information as with 1,280 samples. A suggestion on how to use autocorrelograms in sampling schemes is presented.