[1]FAN Sheng-long,HUANG Yan-he,LIN Jin-shi.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[J].Research of Soil and Water Conservation,2011,18(06):1-5.
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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
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 06
Page number:
1-5
Column:
Public date:
2011-12-20
- Title:
- 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
- CLC:
- S158
- DOI:
- -
- 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.
- References:
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1900-01-01