Spatial distribution of surface soil moisture content before spring sowing in typical irrigation areas in southern Xinjiang
This study employed seven interpolation methods(inverse distance weighting,radial basis function,global polynomial,local polynomial,ordinary Kriging,universal Kriging,and empirical Bayesian Krig-ing)to assess the spatial distribution characteristics of soil moisture content in the Xiaohaizi irrigation area(typical irrigation area in southern Xinjiang).The results indicate that:(1)The surface soil moisture content in the study area ranged from 4.99％to 24.99％,with a coefficient of variation of 27.6％,indicating moderate variability and moderate spatial autocorrelation,and the exponential model effectively fitted the variogram function.(2)For the Xiaohaizi irrigation area,which was influenced by both structural and random factors,the deterministic interpolation radial basis function method achieved high accuracy in soil moisture content interpolation.(3)Through the analysis of the spatial distribution map of soil moisture content in the irrigation area,it was found that before spring sowing,the soil moisture content in the Xiaohaizi irrigation area exhibited a pattern of high in the southwest and low in the northeast,with significant influence from groundwater level and irrigation measures.The area with soil moisture content exceeding 15％covered 64.9％of the total area.Overall,the soil moisture content in the southwest and central parts of the irrigation area meeted the sowing requirements,while the northeast region meeted the"dry sowing and moist emergence"sowing requirements.Spring sowing work can be arranged in different areas accordingly.
soil moisturespatial distributionspatial interpolation methodsaccuracy evaluationsouthern Xinjiang irrigation district
万方数据
维普
