The research on the breakup of river ice cover prediction based on artificial neural network model

Author

Yu, Deng ; Yusu, Yue

Author_Institution

Yellow River Inst. of Hydraulic Res., Res. Center on Levee Safety Disaster Prevention, Zhengzhou, China

fYear

2011

fDate

27-29 May 2011

Firstpage

17

Lastpage

19

Abstract

According to the urgent need of ice protection and reduction in Inner Mongolia section, the breakup of river ice cover prediction model is set up with artificial neural network theory. Focusing on the BaYanGaoLe, SanHuHeKou and TouDaoGuai, the specific breakup of river ice cover dates are forecasted, the predictive results meet ice prevention requirements, attain the prediction standards, provide references for command scheduling and decision in the Inner Mongolia section of Yellow River.

Keywords

floods; forecasting theory; geophysics computing; ice; neural nets; rivers; Yellow river; artificial neural network model; command scheduling; ice prevention; ice protection; inner Mongolia section; prediction standards; river ice cover breakup date forecasting; river ice cover prediction model; Area measurement; Fault diagnosis; Ice; MATLAB; Pollution measurement; breakup of river ice cover; ice flood; neural network; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-485-5

Type

conf

DOI

10.1109/ICCSN.2011.6014665

Filename

6014665