水土保持研究2011，Vol.18Issue(6)：1-5,5.
表征土壤有机碳区域分布的优化空间插值模型研究——以福建省龙海市为例
The Optimized Interpolation Models and Its Relationship with Soil Sampling Density on Detecting Spatial Variability of Farmland Soil Organic Carbon——A Case Study in Longhai City,Fujian Province
摘要
Abstract
How to use limited soil samplings to interpolation an accurate spatial distribution of soil properties is a hot issue in soil science.In order to study the optimized interpolation models and its relationship with soil sampling density,the research collected 1 133 soil samplings from Longhai County,Fujian Province,and designed 5 interpolate models combined with landform types,soil types,and land use types,etc.Results showed that the accuracy of 5 interpolate models are higher than Ordinary Kriging（OK） method.However,the size of soil sampling grid can affect interpolate results.Using interpolate model integrated with land use types and soil types can get more accuracy results when soil sampling collected from 0.5 km×0.5 km grids.When taking sampling form 2 km×2 km grids,the model integrated with soil types can get more accuracy results.But there are no variances between different models when sampling grid reaches 4 km×4 km,so it can use OK method to interpolate directly.关键词
样点布设/土壤有机碳/空间插值模型/克里格插值Key words
sampling method/soil organic matter/interpolation models/Kriging method分类
农业科技引用本文复制引用
范胜龙,黄炎和,林金石..表征土壤有机碳区域分布的优化空间插值模型研究——以福建省龙海市为例[J].水土保持研究,2011,18(6):1-5,5.基金项目
福建省教育厅基金项目 （）
