| 基于GIS和GS~+的耕地土壤阳离子交换量的序贯高斯模拟 |
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| 引用本文： | 杨奇勇,杨劲松.基于GIS和GS~+的耕地土壤阳离子交换量的序贯高斯模拟[J].中国农业科学,2010,43(18):3759-3766. |
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| 作者姓名： | 杨奇勇 杨劲松 |
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| 作者单位： | (中国科学院南京土壤研究所); |
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| 基金项目： | 公益性行业(农业)科研专项经费项目，中国科学院知识创新工程重大项目，国家自然科学基金项目，国家"863"计划重点项目 |
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| 摘 要： | 【目的】研究山东省禹城市盐渍土改良区耕地土壤阳离子交换量(CEC)的空间变异特征,可以为盐渍土改良及其土壤肥力管理提供理论依据。【方法】在GIS技术支持下,利用地统计学中的OrdinaryKriging(OK法)插值和序贯高斯模拟方法(SGSV模拟和SGSA模拟)探讨了禹城市耕地土壤CEC的空间变异特征,并将SGSV、SGSA、OK法与实测数据从统计参数、空间结构特征、空间分布趋势等方面进行了对比分析。【结果】(1)SGSV具有与实测数据相同的空间自相关结构,对预测点的模拟值具有不确定性;(2)OK、SGSA改变了土壤CEC数据的空间结构,具有"平滑"效应,SGSA在消除平滑影响方面优于OK插值;(3)研究区域土壤CEC含量高的地区主要分布在研究区域中偏北部和东部,土壤CEC含量低的区域主要分布在北部、西北和南部。【结论】SGSA模拟获取了研究区域土壤CEC空间分布,该结果对研究区域土壤盐碱障碍消减、土壤培肥具有重要的意义。
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| 关 键 词： | GIS 土壤CEC 半方差函数 克里格 序贯高斯模拟 |
| 收稿时间： | 2010-01-20; |
Sequential Gaussian Simulation of Farmland Soil Cation Exchange Capacity Based on GIS and GS+ |
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| YANG Qi-yong,YANG Jin-song.Sequential Gaussian Simulation of Farmland Soil Cation Exchange Capacity Based on GIS and GS+[J].Scientia Agricultura Sinica,2010,43(18):3759-3766. |
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| Authors: | YANG Qi-yong YANG Jin-song |
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| Institution: | (Institute of Soil Science, Chinese Academy of Sciences)
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| Abstract: | 【Objective】 The spatial variability of the soil cation exchange capacity (CEC) was studied in order to provide a theoretical basis for the improvement of saline soil fertility management in saline soil improvement of cultivated land of Yucheng City. 【Method】 With the GIS technical support, using Sequential Gaussian Simulation to achieve variance (SGSV),Sequential Gaussian simulation of the average achieved (SGSA) and the Ordinary Kriging interpolation (OK) to study the spatial variability of soil CEC in cultivated land of Yucheng City. And the statistic characteristics, spatial structure of semi-variances and spatial distribution trend were compared between the unobserved value, SGSV, SGSA and OK. 【Result】 SGSV had the same data configuration as the measured values and the simulated value was uncertain for the unobserved points. The estimated value by OK and SGSA changed the original data configuration with obviously smoothing-average effect, and SGSA is better than OK method in eliminating smoothing-average effects. The soil CEC of high levels are mainly distributed in the north and east side of Yucheng City, and the low levels are mainly in the north, north-west and south areas. 【Conclusion】 The results of SGSA were of great significance for reduction of salinity content and rational fertilization of the saline-alkali soil in Yucheng city. |
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| Keywords: | GIS |
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