摘要
针对常规土壤侵蚀经验统计模型适用性不强、模拟精度不佳等问题,对灰色离散序列高阶动态模型进行合理扩展,建立了多变量高维指数非线性模型,通过MATLAB寻优,实现了非线性模型中参数的搜索——辨识。该模型具有信息包容量丰富、信息开发利用潜力大、适用范围广等特点。人工降雨条件下的坡耕地土壤侵蚀模拟结果表明:模型有效系数>0.91,平均误差率<6.2%,模拟精度较高。
Aiming at the problems of applicability and simulation precision of the routine experienced statistical soil erosion models,based on the reasonable extension of the high-order grey dispersed array dynamic model,a multivariable high-dimension non-linear index model was established.Through the optimization by MATLAB,the searching and identification of the parameters in the non-linear model was come true.There are many characters of rich volume of information,huge potential for development and utilization and wide application scope on this model.In the case of artificial rainfall,the simulation results of soil erosion in sloping farmland indicated that the valid coefficient of the model 〉0.91,the average error rate 〈6.2%,the stimulation precision is fairly high.
出处
《水土保持研究》
CSCD
北大核心
2009年第2期38-41,共4页
Research of Soil and Water Conservation
基金
国家科技支撑计划项目(2006BAD29B01、2007BAD88B01)
黑龙江省重点科技攻关项目(GB06B106-3)
东北农业大学科技创新团队项目(CXT003-2-3)
关键词
土壤侵蚀
模型
参数辨识
人工降雨
模拟精度
soil erosion
model
parameter identification
artificial rainfall
simulation precision
