| 绿洲土壤表层含盐量空间变异分析的插值方法研究 |
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| 引用本文： | 马成霞,丁建丽,王璐,牛增懿,王爽,李艳华.绿洲土壤表层含盐量空间变异分析的插值方法研究[J].水土保持研究,2014,21(4):317-320. |
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| 作者姓名： | 马成霞 丁建丽 王璐 牛增懿 王爽 李艳华 |
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| 作者单位： | 新疆大学 资源与环境科学学院 绿洲生态教育部重点实验室, 乌鲁木齐 830046 |
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| 摘 要： | 为了比较土壤表层含盐量空间变异性研究的各种空间插值方法的优劣，以渭库绿洲为例，运用基于ArcGIS的4种空间插值方法（反距离加权、样条函数、克里格、协同克里格空间插值方法），分析了土壤表层含盐量的空间变异性。并通过分析各个交叉检验统计量来验证评估数据的误差，从而选取最优的空间插值方法。结果表明:4种插值方法的插值结果基本能反映含盐量的空间分布特征，简单克里格法更适合绿洲表层土壤含盐量的空间插值；通过空间插值可以发现表层土壤含盐量呈现出东南高、西北低的态势。对渭库绿洲土壤盐分空间分布特征及空间变异进行了解，有利于土壤盐渍化的快速诊断，是盐渍化土壤治理和改良的重要基础。
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| 关 键 词： | 地统计学 空间变异 空间插值 土壤盐分 |
Research for Interpolation Method of Spatial Variation Analysis on Soil Salinity in the Oasis |
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| MA Cheng-xia,DING Jian-li,WANG Lu,NIU Zeng-yi,WANG Shuang,Li Yan-hua.Research for Interpolation Method of Spatial Variation Analysis on Soil Salinity in the Oasis[J].Research of Soil and Water Conservation,2014,21(4):317-320. |
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| Authors: | MA Cheng-xia DING Jian-li WANG Lu NIU Zeng-yi WANG Shuang Li Yan-hua |
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| Institution: | College of Resources and Environment Science, Xinjiang University, Key Laboratory of Oasis Ecosystem, Education Ministry, Urumqi 830046, China |
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| Abstract: | In order to compare the advantages and disadvantages of the spatial interpolation methods of the soil salinity spatial variation, a case study of Weiku, Oasis using four spatial interpolation methods based on ArcGIS(inverse distance weighting, spline function, Kriging, collaborative Kriging interpolation method) analyze the spatial variation of soil salt content. The best spatial interpolation method is selected through the analysis of various cross test statistic to verify the error of the evaluation data. Results show that four kinds of interpolation methods of interpolation results can reflect the spatial distribution characteristics of salt content. Simple kriging method is more suitable for the oasis surface soil salinity of spatial interpolation; Through spatial interpolation can be found that the surface soil salinity shows a tendency of high southeast, northwest low. Understanding spatial distribution of salinization is not only the benefit for rapid diagnosis of soil salinization, but also has scientific significance for management and amelioration of soil salinization. |
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| Keywords: | geostatistic spatial variation spatial interpolation soil salinity |
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