Published in

Elsevier, Mathematical and Computer Modelling, 11-12(51), p. 1351-1356, 2010

DOI: 10.1016/j.mcm.2009.11.011

Links

Tools

Export citation

Search in Google Scholar

Analysis of the anisotropic spatial variability and three-dimensional computer simulation of agricultural soil bulk density in an alluvial plain of north China

Journal article published in 2010 by Y. He, K. L. Hu, Y. F. Huang, B. G. Li, D. L. Chen ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Red circle
Postprint: archiving forbidden
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Statistical analysis of the heterogeneity of soil bulk density in regional scale is important to crop growth and tillage management. While most field data focus on bulk density up to a depth of 0.3 m, this study measured the bulk density of 28 in situ soil core locations up to a depth of 1.3 m. Geostatistical method was used to analyze the anisotropic spatial variability and three-dimensional Sequential Gaussian Simulation (SGSIM) was conducted. The results of nugget/sill ratio indicated that the sampling scheme was fine enough to capture the spatial correlation distance of bulk density in the vertical direction. The nugget effect, however, in the horizontal direction suggested that the sampling frequency was not enough for bulk density in that direction. The result of three-dimensional SGSIM is consistent with measured data, indicating that the simulation method is suitable for this research objective. The results may provide basic information for other agricultural management practices.