【摘要】 采用地统计及地理信息(GIS)技术研究了山东省淄博玉米产区土壤砷含量空间变异性及其分布特点.淄博玉米产区土壤砷监测数据呈正偏态分布,为实现数据集正态化及降低偏大值对预测结果的影响,对原始数据集进行了自然对数变换.结果表明,变换后数据集的经验半变异函数存在明显各向异性,在北偏东70°方向上变异性最弱.应用指数模型拟合经验半变异函数,采用普通克里格法预测砷元素的空间分布状况.研究表明,本区域土壤砷含量存在明显的空间异质性,污水灌溉是引起土壤砷元素空间变异最主要的因素,监测区内土壤As元素含量存在实际“亏损”状况.更多还原

【Abstract】 Spatial variability and distribution of soil arsenic in Zibo maize producing area,Shandong Province were studied using geostatistics and geographic information system(GIS) techniques.Positive skewed distribution was observed;Logarithm transformation was applied in order to achieve normality in the data set and to reduce the affect of outliers.The results show that experimental semi-variogram exists distinct anisotropic and has the strongest continuity in the direction of northeastern 70°.Exponential model was used to fit experimental semi-variogram.Normal kriging was used to predict the spatial distribution of soil arsenic in Zibo maize producing area.It can be concluded that there is clear special heterogeneity in soil arsenic and wastewater irrigation is the main reason affected spatial variability.In fact,the concentrations of soil arsenic in Zibo maize producing area decrease in the pass 20 years.更多还原