Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Runoff Coefficient Forecast of Typical Underlying Surface Based on Neural Network Method

WU Sheng1,XIE Jian-cang1,WANG Zhi-rong2,HUANG Duo3,WANG Ya-mei1(1.Research Institute of Water Resource,Xi'an University of Technology,Xi'an 710048;2.School of Environment Science and Safety Engineering,Tianjin Institute of Technology,Tianjin 300191;3.Management School,Xi'an University of Technology,Xi'an 710048)  
Based on measured data of five typical underlying surfaces,S/S mathematical model of relationship between different underlying surfaces and influence factors were developed by using LM calculation method.The runoff coefficient of every underlying surface was forecasted in different rainfall conditions by ANN models and compared with conventional method as well.Result showed that the ANN models improved the precision of forecast.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved