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Variogram Analyses of Soil Characters in glacial moraine landscapes

Journal of Environmental Science and Engineering(A) 2012年第12期1卷 1308-1316页

作者： Adzemi Mat Arshad Mustika Edi Armanto Juergen Lamp Elisa Wildayana Faculty of Agrotechnology and Food Science Universiti Malaysia Terengganu 21030 Malaysia Institute of Plant Nutrition and Soil Science Edited-Kiel University Kiel D-24118 Germany Faculty of Agriculture Sriwijaya University Indralaya South Sumatra 30662 Indonesia

The objective of this research is to analyze variogram analyses of soil characters in glacial moraine landscapes. The research site is located in sloping landscapes, Kuehren, North Germany. The survey method was detailed using maps with scales of 1:5,000. Soil sampling was performed by soil pits and borings and completely analyzed in laboratory. Collected data were evaluated by geostatistics program for spatial soil variability analyses. The variogram models show that spatial soil variability ranges between 70-120 m (mean: 85 m). Effective distances of sampling are calculated at around 50 m. The range values of soil characters are proportional with the range of elevation (range: 70 m, effective distance: 40 m). The relief determines mainly the spatial variability of soil characters.

关键词： Variogram analyses soil characters glacial moraine landscapes

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Optimal Interpolation and Kriging Mapping of Soil Characters in glacial moraine landscapes

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Journal of Environmental Science and Engineering(A) 2012年第12期1卷 1329-1337页

作者： Adzemi Mat Arshad Mustika Edi Armanto Juergen Lamp Elisa Wildayana Faculty of Agrotechnology and Food science Universiti Malaysia Terengganu Kuala Terengganu 21030 Malaysia Faculty of Agriculture Sriwijaya University South Sumatra 30662 Indonesia Institute of Plant Nutrition and Soil Science Kiel University Kiel D-24118 Germany

The objective of this research is to analyze optimal interpolation and Kriging mapping of soil characters in glacial moraine landscapes. The research site is located in sloping landscapes, Kuehren, North Germany. The survey method was detailed using maps with scales of 1:5,000. Soil sampling was performed by soil pits and borings and completely analyzed in laboratory. Collected data were evaluated by Geostatistics program for spatial soil variability analyses. All maps (produced by Kriging interpolation) picture redistribution of soil nutrients and soil fractions and all map isolines run in similar directions according to landscape nets. The position in the landscape is responsible for increased soil variability. Soil variability becomes higher with decreasing elevation; this means it increases from hilltops to lower slopes. All observed soil characters show relationships to the soil variability. This variability system is caused by convex depressions and hedgerows (Knicks) function as barriers for the redistribution of transported material and offsite sedimentation. Therefore fluxes can be assessed by soil gain and loss balances.

关键词： Optimal interpolation Kriging mapping soil characters glacial moraine landscapes

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