The Spatial Simulation of Soil Volumetric Moisture Content in Different Growth Stages of Peanut

The main objective of this study was to assess the spatial variability of SVMC (soil volumetric moisture content) in peanut different growth stages which included in peanut seeding time and peanut harvest time of "Fenghua 1". Moreover, the use of geostatistical tools for the description and modeling of SVMC is illustrated 324 soil samples digested by time domain reflectometry (TDR) method. Block Kriging and sequential gaussian simulation were also applied to analyze the spatial distribution of SVMC, the discrete and more detailed spatial pattern was disclosed by 100 times, 500 times and 1000 times sequential gaussain simulation results than block Kriging, Kriging results have the evident smoothing effect. However, sequential gaussian simulation results were consistent with the trend of measured data, and the measured values are equal with simulation value in sampling site, the average value is below the measured data, the simulation error resulted from the Kriging process and the unique gaussian algorithm. Study results showed the variability of structural factors is 68.9% in seeding time, 57.8% in harvest time, which suggested the medium spatial variability of SVMC, the impact of structural factors (evaporation and transpiration of peanut growth stages) is more in seeding time than in harvest time. Results also confirmed that there existed the sensitivity to SVMC of peanut growth stages, peanut's growth depended on the more water requirement and consumption in seeding stage than in harvest time of "Fenghua 1".