Temporal Stability of Spatially Measured Soil Water Probability Density Function

作者: G. Vachaud , A. Passerat De Silans , P. Balabanis , M. Vauclin

DOI: 10.2136/SSSAJ1985.03615995004900040006X

关键词: Soil scienceExtreme value theorySpatial variabilityCommon spatial patternHydrologyWater contentMathematicsSoil textureOlive treesStability (probability)Soil water

摘要: Soil water data collected from three different fields are analyzed by two techniques (temporal analysis of the differences between individual and spatial average values; Spearman's rank correlation) to search if time-invariant characteristic statistical properties probability density functioins can be assigned locations. A grass field was equipped with 17 neutron access tubes surveyed 24 times during a 2 1/2 yr-period. In another planted olive trees, nine were installed quarterly measurements performed consecutive years. The latter cropped in wheat gravimetrically sampled on regular pattern five routinely 1-yr period at four selected locations using moisture meter. All show existence very significant time-stability particular characterized same parameter distribution observations taken over field. It is shown that some conserve property represent mean extreme values content any time along year. This stability seems explained large extent relationships soil texture content. Additional Index Words: variability, series analysis, test, scaling factor, reduction, representative sites measurements. View complete article To view this article, insert Disc 4 then click button8

参考文章(0)