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《Science of Surveying and Mapping》 2015-01
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Impact of spatial interpolation methods on identifying structure of heavy metal polluted soil

CHEN Si-xuan;ZOU Bin;TANG Jing-wen;Key Laboratory of Metallogenic Prediction of Nonferrous Metals,Ministry of Education,School of Geosciences and Info-physics,Central South University;National Engineering Research Centre for Heavy Metal,Central South University;  
The distribution of As in surface soil of a region in Guangdong was studied by interpolating with 3spatial interpolation methods including Inverse Distance Weighted(IDW),Spline and Ordinary Kriging(OK).The results were compared according to the prediction accuracy,the estimate of the As-polluted area and risk area identification.It was showed that IDW performed better than Spline and OK in predicting the As concentration of unsampled sites;the As-polluted areas identified by three methods were different,and compared to OK,results from IDW and Spline were much closer.Finally,it was concluded that a proper interpolation method would be significant for identifying point-based risk area,and the size and attribute characteristic of the sampling data set should be considered in the selection of spatial interpolation methods to improve the interpolation accuracy.
【Fund】: 中国博士后科学基金项目(2012M521558);中国博士后科学基金特别资助项目(2013T60780)
【CateGory Index】: X53;P208
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