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[1]WANG Ping,LI Hao,CHEN Shuai,et al.Interpolation of Permanent Gully Density Based on Slope Steepness in Black Soil Area[J].Research of Soil and Water Conservation,2014,21(06):312-317.

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Interpolation of Permanent Gully Density Based on Slope Steepness in Black Soil Area

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 21 Number of periods: 2014 06 Page number: 312-317 Column: Public date: 2014-12-28

Title:: Interpolation of Permanent Gully Density Based on Slope Steepness in Black Soil Area

Author(s):: WANG Ping¹, LI Hao^2,3, CHEN Shuai^2,3, XU Jin-zhong¹, ZHANG Xing-yi²; 1. Heilongjiang Institute of Soil and Water Conservation Science, Harbin 150070, China;
2. Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China;
3. University of Chinese Academy of Sciences, Beijing 100039, China

Keywords:: black soil area; permanent gully density; CoKriging; interpolation; prediction accuracy

CLC:: P941

DOI:: -

Abstract:: Gully erosion is serious in northeast China. Combining field-measured gully length density and spatial interpolation is an efficient method to identify gully erosion wizard in large area. Steepness is an important factor affecting gully development. As an auxiliary variable whether it could improve the spatial interpolation performance of gully length density was investigated in this research. The spatial variability of permanent gully density was interpolated by Inverse Distance Weighting, Ordinary Kriging and CoKriging with mean slope steepness of the field sample area from the 40 field-measured sampling data in Hailun county, Heilongjiang Province, located in the black soil area, northeastern of China, and their prediction accuracies were compared. The results indicated that the permanent gully density was strong spatial autocorrelation. The permanent gully density and its coregionalized variables were much more affected by structure factors than stochastic factors. Inverse Distance Weighting got similar prediction accuracy with Ordinary Kriging. Compared with Inverse Distance Weighting and Ordinary Kriging, the accuracy of permanent gully density interpolated by CoKriging was much improved, the root-mean-square error decreased more than 20%, and the determination coefficient between the observed and the predicted values increased more than 89%. Hence, CoKriging is a high accuracy method for the permanent gully density interpolation in northeastern China.

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