Ice is a ubiquitous water phenomenon in cold area rivers,the change of thickness and water level during ice jam is one the uppermost phenomena in ice jam reach.This study induce the general situations on river ice and the necessity of the study on ice jam thickness and water level, then discusses the formation conditions and the procedure of the icecap, the formation mechanism and its development laws of ice jam. Analyse the factors which affect ice jam thickness and water level such as water velocity, ice discharge and initial water depth in curve flume under laboratory conditions. Introduce the software of MATLAB and BP Neural Network toolbox and use BP Neural Network toolbox establish Neural Network model to forecast thickness and water level of ice jam. By contrasting forecasted data and measured data, we Analyse the error between forecasted data and measured data.
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