| Spatial Interpolation and Sample Size Optimization for Soil Copper （Cu） Investigation in Cropland Soil at County Scale Using Cokriging |
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| 引用本文： | PANG Su,LI,Ting-xuan WANG,Yong-dong YU,Hai-ying LI,Xi. Spatial Interpolation and Sample Size Optimization for Soil Copper （Cu） Investigation in Cropland Soil at County Scale Using Cokriging[J]. 中国农业科学(英文版), 2009, 8(11): 1369-1377. DOI: 10.1016/S1671-2927(08)60349-1 |
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| 作者姓名： | PANG Su LI Ting-xuan WANG Yong-dong YU Hai-ying LI Xi |
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| 作者单位： | College of Resource and Environmental Science, Sichuan Agricultural University, Ya＇an 625014, P~R.China |
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| 基金项目： | The work was financially supported by the Youth Foun-dation from Sichuan Education Bureau，Key Project from Sichuan Education Bureau，Sichuan Youth Science & Technology Foundation |
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| 摘 要： | Knowledge on spatial distribution and sampling size optimization of soil copper （Cu） could lay solid foundations for environmetal quality survey of agricultural soils at county scale. In this investigation, cokriging method was used to conduct the interpolation of Cu concentraiton in cropland soil in Shuangliu County, Sichuan Province, China. Based on the original 623 physicochmically measured soil samples, 560, 498, and 432 sub-samples were randomly selected as target variable and soil organic matter （SOM） of the whole original samples as auxiliary variable. Interpolation results using Cokriging under different sampling numbers were evaluated for their applicability in estimating the spatial distribution of soil Cu at county sacle. The results showed that the root mean square error （RMSE） produced by Cokriging decreased from 0.9 to 7.77%, correlation coefficient between the predicted values and the measured increased from 1.76 to 9.76% in comparison with the ordinary Kriging under the corresponding sample sizes. The prediction accuracy using Cokriging was still higher than original 623 data using ordinary Kriging even as sample size reduced 10%, and their interpolation maps were highly in agreement. Therefore, Cokriging was proven to be a more accurate and economic method which could provide more information and benefit for the studies on spatial distribution of soil pollutants at county scale.
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| 关 键 词： | 空间插值 农田土壤 优化利用 土壤样品 土壤铜 协同 Cu 普通克里格法 |
Spatial Interpolation and Sample Size Optimization for Soil Copper (Cu) Investigation in Cropland Soil at County Scale Using Cokriging |
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| PANG Su,LI Ting-xuan,WANG Yong-dong,YU Hai-ying,LI Xi. Spatial Interpolation and Sample Size Optimization for Soil Copper (Cu) Investigation in Cropland Soil at County Scale Using Cokriging[J]. 《Agricultural Sciences in China》, 2009, 8(11): 1369-1377. DOI: 10.1016/S1671-2927(08)60349-1 |
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| Authors: | PANG Su LI Ting-xuan WANG Yong-dong YU Hai-ying LI Xi |
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| Affiliation: | 1. National Research Council of Italy - Institute for Agricultural and Forest Systems in the Mediterranean (ISAFOM), Rende, Cosenza, Italy;2. CREA - Council for Agricultural Research and Economics, Bari, Italy;1. Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague 6 — Suchdol, CZ-165 21, Czech Republic;2. Alterra Wageningen UR, PO Box 47, 6700AA Wageningen, The Netherlands;3. State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, China;4. Department of Geography, University of Wisconsin-Madison, USA;1. University of Tübingen, Department of Geosciences, Chair of Physical Geography and Soil Science, Tübingen, Germany;2. Department of Monitoring and Exploration Technologies, UFZ, Helmholtz Centre for Environmental Research, Leipzig, Germany |
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| Abstract: | Knowledge on spatial distribution and sampling size optimization of soil copper (Cu) could lay solid foundations for environmetal quality survey of agricultural soils at county scale. In this investigation, cokriging method was used to conduct the interpolation of Cu concentraiton in cropland soil in Shuangliu County, Sichuan Province, China. Based on the original 623 physicochmically measured soil samples, 560, 498, and 432 sub-samples were randomly selected as target variable and soil organic matter (SOM) of the whole original samples as auxiliary variable. Interpolation results using Cokriging under different sampling numbers were evaluated for their applicability in estimating the spatial distribution of soil Cu at county sacle. The results showed that the root mean square error (RMSE) produced by Cokriging decreased from 0.9 to 7.77%, correlation coefficient between the predicted values and the measured increased from 1.76 to 9.76% in comparison with the ordinary Kriging under the corresponding sample sizes. The prediction accuracy using Cokriging was still higher than original 623 data using ordinary Kriging even as sample size reduced 10%, and their interpolation maps were highly in agreement. Therefore, Cokriging was proven to be a more accurate and economic method which could provide more information and benefit for the studies on spatial distribution of soil pollutants at county scale. |
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| Keywords: | cropland soil county scale copper Cokriging sampling size |
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