Application of Fuzzy Clustering Analysis in Classification of Soil in Qinghai and Heilongjiang of China
Soil classification systems organize soil variability into useful groupings that can be identified by field investigation and documented in soil survey, and form the basis for the exchange and extension of soil science research and soil resources management. Fuzzy clustering analysis may be used whenever a composite classification of soil incorporates multiple parameters. In this paper, seventy-seven topsoil samples were collected from Qinghai and Heilongjiang of China, and the element contents of topsoil were detected by wavelength disper-sive X-ray fluorescence spectroscopy. In fuzzy clustering analysis, all data were standardized, and then a fuzzy similarity matrix was established and the fuzzy relation was stabilized. The results showed that topsoil samples of Qinghai and Heilongjiang were completely grouped into two clusters according to their dis-tricts, when given a suitable threshold λ=0.7580. This work supplied the quan-tification classification method of alpine soil (Qinghai) and unsaturation siallitic soil (Heilongjiang).
fuzzy clustering analysis soil classification elements
Ping Han Jihua Wang Zhihong Ma Anxiang Lu Miao Gao Ligang Pan
Beijing Research Center for Agrifood Testing and Farmland Monitoring,Beijing 100097, P.R. China Nati Beijing Research Center for Agrifood Testing and Farmland Monitoring,Beijing 100097, P.R. China Nati
国际会议
南昌
英文
282-289
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）