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作 者:赵翠翠[1] 南忠仁[1] 刘晓文[1] 丁海霞[1] 晋王强[1]
机构地区:[1]兰州大学西部环境教育部重点实验室兰州大学资源环境学院,兰州730000
出 处:《干旱区资源与环境》2010年第10期127-132,共6页Journal of Arid Land Resources and Environment
基 金:自然科学基金(NSFC40671167);国家环境保护公益性项目(NEPCP200809098);973项目(2008CB417212);科技部支撑计划专题(2007BAC03A11-02)资助
摘 要:运用传统统计学和地统计学方法,对张掖甘州区和临泽县农田土壤中Mn、Co、Cu、Zn、Ni全量的影响因素和空间分布特征进行了研究。结果显示:五种微量元素全量的平均值与全国土壤平均值相当;变异系数在9.27%~20.90%之间,属弱变异性或中等变异性。相关性分析表明,除Zn外,其余微量元素全量与pH成显著负相关;除Co和Zn,其余元素与OM成显著正相关,CaCO3、有效P和CEC与微量元素含量的相关性较小。运用克里格(Kriging)最优内插法得到土壤微量元素含量的空间分布图,图中显示除Ni外,其余元素的含量分布有一定规律性,说明Mn、Co、Cu、Zn种微量元素的分布主要取决于地形、成土母质等结构性因素。On the basis of mathematical statistics and geo-statistics,the affecting factors and spati-al distributions of soil trace elements contents,including Mn、Co、Cu、Zn、Ni,were analized in cropland in Ganzhou district and Linze of Zhangye.The results showed that the average contents of the five elements were almost equal to national levels.The coefficients of variation for the five trace elements were in the range of 9.27% ~ 20.90% belonging to low or middle intensity.The correlation analysis indicated that there were significant negative correlation between elements contents and pH,except Zn,significant positive correlation between that elements contents and OM,except Co and Zn,and insignificant correlation between elements contents and CaCO3,available P and CEC.The Kriging method was used to estimate the unobserved points and to generate contour maps of studied elements.From those maps,a regular pattern of spatial distribution was shown,which illustrated that spatial distributions of the contents of Mn、Co、Cu、Zn were mainly induced by topology and soil patent materials.
关 键 词:绿洲农田土壤 微量元素 理化性质 空间分布 克里格(Kriging)插值
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