Semivariogram Modeling and Spatial Variation of Drip Irrigation Soil Total Nitrogen at Small Scale Cotton Field in North Xinjiang
Liping Xu
Abstract
Liping Xu
Abstract
In order to get an accurate model,discuss how to choose proper parameters which used in semivariogram modeling and analyze the influence of anisotropy in Kriging interpolation and the spatial variation of isotropy at various lag interval,the spatial variation of soil total nitrogen was studied in small scale cotton field with drip irrigation in north Xinjiang based on GIS(Geographic Information System) and geostatistics.The results showed that the C V is 0.213,which means spatial variability is feeblish.The spatial variability of total N was apparent anisotropy in NW27° within the maximum lag extent of 500 m,but was isotropy with the lag extent of 300 m.There were little varies of C0/(C+ C0) in different lag intervals,which indicated a weak autocorrelation.This was because of the characteristics of small scale and the application of drip irrigation which decreased the structural factor and increased the randomness.
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In order to get an accurate model,discuss how to choose proper parameters which used in semivariogram modeling and analyze the influence of anisotropy in Kriging interpolation and the spatial variation of isotropy at various lag interval,the spatial variation of soil total nitrogen was studied in small scale cotton field with drip irrigation in north Xinjiang based on GIS(Geographic Information System) and geostatistics.The results showed that the C V is 0.213,which means spatial variability is feeblish.The spatial variability of total N was apparent anisotropy in NW27° within the maximum lag extent of 500 m,but was isotropy with the lag extent of 300 m.There were little varies of C0/(C+ C0) in different lag intervals,which indicated a weak autocorrelation.This was because of the characteristics of small scale and the application of drip irrigation which decreased the structural factor and increased the randomness.
Key concepts: Geostatistics, Spatial variability, Variogram, Kriging, Lag, Soil science, Spatial analysis, Environmental science