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作 者:钟壬琳[1] 肖潇[1,2] 张平仓[1] 岑奕[1]
机构地区:[1]长江科学院水土保持研究所,武汉430010 [2]华中科技大学软件学院,武汉430074
出 处:《长江科学院院报》2010年第5期13-18,共6页Journal of Changjiang River Scientific Research Institute
基 金:国家重点基础研究发展计划(2007CB407203)
摘 要:依据江西省第二次土壤普查资料,以侵蚀-生产力评价模型(EPIC)中的K值作为土壤抗侵蚀性的衡量指标,通过ArcGIS9.2和GS+9.0软件,分析比较了反距离权重插值法、径向基函数插值法和普通克里格插值法。对江西省土壤抗侵蚀性空间插值的精度。结果表明:研究区域土壤抗侵蚀性的变化范围为0.1492~0.4157,均值为0.2839,变异系数为18.06%,存在中等程度的空间变异性,块金系数为11.09%,具有强烈的空间相关性;综合考虑各种插值方法的交叉验证结果和插值效果,认为普通克里格插值法最佳;研究区域土壤抗侵蚀性的空间分布有从东、南、西向中部、北部和东北部不断减小的趋势,且与各土壤亚类抗侵蚀性均值的空间分布规律趋于一致。On the basis of the second soil survey data of Jiangxi Province, this paper took K values of EPIC model as measuring indicators of soil anti-erodibility, compared the accuracy of different interpolation methods, including IDW( inverse distance weighted), Spline and Ordinary Kriging, by the software of ArcGISg. 2 and GS + 9.0 for the spatial interpolation of soil anti-erodibihty in Jiangxi Province. The results show as follows : The spatial variability of soil anti-erodibility at the study area is moderate difference, with the range from 0. 149 2 to 0. 415 7, mean of 0. 283 9, and variance coefficient of 18.06%. The nugget-to-sill ratio is 11.09%, which indicates that the soil an- ti-erodibility has strongly spatial relativity in the study area. Taking account of cross-validation and interpolation resuits comprehensively, Ordinary Kriging interpolation is the best of three methods: Spatial distribution of soil antierodibility appears with the decreasing trend from the east, south, west to the central, north and northeast in the study area; in comparison with the mean of each soil sub-class anti-erodibility, both of them have the same law of spatial distribution.
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