摘要
对黄土高原沟壑区典型小流域农坡地径流场1018组降雨、产流、产沙实测资料使用回归分析作为数学建模的方法,并结合数据挖掘技术对数据进行预处理,达到了优化模型的效果。研究结果表明,此方法可以使模型的定量研究过程得到优化,提高降雨侵蚀数学模型的方程解释能力。
It conducts regression analysis for mathematical modeling based on 1018 groups of observed data of rainfall,runoff-producing and sediment-production of sloped farmland in typical small watersheds of the Loess Plateau,pre-presses the data through the techniques of data excavation and achieves the effect of model optimization.The study outcomes show that the method can optimize the process of model quantitative study and increase the capability of equation interpretation of rainfall erosion mathematical model.
出处
《中国水土保持》
北大核心
2007年第12期23-26,共4页
Soil and Water Conservation in China
关键词
土壤侵蚀
数学模型
回归分析
数据挖掘
数据预处理
黄土高原沟壑区
soil erosion
mathematical model
regression analysis
data excavation
data preprocessing
the Loess Plateau
