基于Bayes判别分析模型的水土保持区划  

Regional division for soil and water conservation based on Bayes discriminant analysis model

作　　者：吴海波[1] 赵晓慎[1] 王治国[2] 张超[1] 

机构地区：[1]华北水利水电学院,郑州450011 [2]水利部水利水电规划设计总院,北京100011

出　　处：《中国水土保持科学》2012年第2期88-91,共4页Science of Soil and Water Conservation

基　　金：河南省教育厅科学技术研究重点项目"区域水资源最优调配模型与技术"(2012A570005);水利部水土保持司委托项目"全国水土保持规划"

摘　　要：为了更加合理地对甘肃、宁夏、青海3省份的黄土丘陵沟壑区进行水土保持区划,基于Bayes判别分析理论建立水土保持区划的数学模型。结合甘肃、宁夏、青海3省份的自然条件,社会经济情况和水土资源流失特点,以垦殖率、林草覆盖率、人口密度、单位面积粮食产量、降雨量和蒸发量等6个指标作为区划判别因子。计算分析表明,该模型与按土壤侵蚀类型进行区划的效果一致,与甘肃、宁夏、青海地区实际区划情况吻合,准确率为100%,可在其他水土保持区划中进行推广。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%.

关 键 词：Bayes判别分析模型 水土保持区划 土壤侵蚀类型 黄土丘陵沟壑区 

分 类 号：S157.2[农业科学—土壤学]