Regional division for soil and water conservation based on Bayes discriminant analysis model
TUN Hai-Bei, DIAO Xiao-Shen, WANG Chi-Guo, ZHANG Chao
1.North China University of Water Resources and Electric Power,450011, Zhengzhou;2.Water Resources and Hydropower Planning and Design General Institute, MWR, 100011, Beijing: China
Abstract：In order to divide the districts of soil and water conservation in Hilly-gullied areas of the Loess Platean Gansu Province, Ningxia Province, and Qinghai Province reasonablely, regional division mathematical model of soil and water conservation was established based on Bayes discriminant analysis theory. Combining the natural conditions, social economic conditions and the characteristics of soil and water resources loss in Gansu Province, Ningxia Province and Qinghai Province, six indexes were chosen to be discriminant factors such as: cultivation rate, forestry and grass coverage rate, population density, grain production per unit area, rainfall, and evaporation. The calculation and analysis show that it’s in accordance with the result of the division of soil erosion types, and in accordance with the actual regional division in Gansu Province, Ningxia Province and Qinghai Province. It can be promoted in other regional division for soil and water conservation with the accuracy rate 100%.
吴海波1，赵晓慎1，王治国2，张超1. 基于Bayes判别分析模型的水土保持区划[J]. 中国水土保持科学, 2012, 10(2): 88-91.
TUN Hai-Bei, DIAO Xiao-Shen, WANG Chi-Guo, ZHANG Chao. Regional division for soil and water conservation based on Bayes discriminant analysis model. SSWCC, 2012, 10(2): 88-91.
2012, Vol. 10 
