豫西南小流域侵蚀产沙模型研究  

Erosion and Sediment Yield Model of Small Watersheds in Southwest Henan

作　　者：李世欣[1,2] 温建[3] 邵孝侯[1] 王晓亚 王玉英 

机构地区：[1]河海大学农业工程学院,江苏南京210098 [2]河南农业大学机电工程学院,河南郑州450002 [3]河南农业大学信息与管理科学学院,河南郑州450002 [4]南召县水土保持科学试验站,河南南召474650

出　　处：《中国水土保持》2010年第4期51-53,共3页Soil and Water Conservation in China

摘　　要：为研究豫西南小流域降雨侵蚀产沙规律,充分利用偏最小二乘回归模型和人工神经网络模型的优点,结合降雨过程中的9个因子,建立了偏最小二乘神经网络耦合产沙预报模型。结果表明,偏最小二乘回归与人工神经网络耦合模型用于小流域侵蚀产沙的预测预报精度较高,计算方便快捷。It establishes the sediment yield prediction model of partial least-squares coupled with artificial neural network by using nine factors from the process of precipitation for studying the laws between rainfall and erosion and sediment yield of small watersheds in the southwest of Henan,fully utilizing the advantages of partial least-squares regression and artificial neural network. The outcomes show that it supplies higher precision,speedy and convenient calculation service in prediction of erosion and sediment yield of small watersheds,through using the model of partial least-squares regression coupled with artificial neural network.

关 键 词：降雨 侵蚀产沙 偏最小二乘回归 人工神经网络 河南西南部 

分 类 号：S157.1[农业科学—土壤学] TP183[农业科学—农业基础科学]