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豫西南小流域侵蚀产沙模型研究
引用本文:李世欣,温建,邵孝侯,王晓亚,王玉英. 豫西南小流域侵蚀产沙模型研究[J]. 中国水土保持, 2010, 0(4): 51-53
作者姓名:李世欣  温建  邵孝侯  王晓亚  王玉英
作者单位:1. 河海大学,农业工程学院,江苏,南京,210098;河南农业大学,机电工程学院,河南,郑州,450002
2. 河南农业大学,信息与管理科学学院,河南,郑州,450002
3. 河海大学,农业工程学院,江苏,南京,210098
4. 南召县水土保持科学试验站,河南,南召,474650
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。

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

Erosion and Sediment Yield Model of Small Watersheds in Southwest Henan
LI Shi-xin,WEN Jian,SHAO Xiao-hou,WANG Xiao-ya,WANG Yu-ying. Erosion and Sediment Yield Model of Small Watersheds in Southwest Henan[J]. Soil and Water Conservation In China, 2010, 0(4): 51-53
Authors:LI Shi-xin  WEN Jian  SHAO Xiao-hou  WANG Xiao-ya  WANG Yu-ying
Affiliation:LI Shi-xin1,2,WEN Jian3,SHAO Xiao-hou1,et al. (1.College of Agricultural Engineering,Hohai University,Nanjing,Jiangsu 210098,China,2.Mechanical & Electrical Engineering College,Henan Agricultural University,Zhengzhou,Henan 450002,3.College of Information , Management Science,China)
Abstract:
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 sedi...
Keywords:precipitation  erosion and sediment yield  partial least-squares regression  artificial neural network  southwest of Henan  
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