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2008•Water Resources & Hydropower of Northeast ChinaRequires access

Application of stepwise regression method in flood level forecast of the lower Yellow River

Wen Dong

Open publisher page 1 citations

Abstract

Based on the water level data of many years on the five hydrologic station of the lower yellow river,the paper establishes the regression equation of Aishan station by using the stepwise regression method,verifies the accuracy of the equation by forecasting the water level of Aishan station. Compared with the results of the multiple linear regression method,the results of the stepwise regression method are more precise,which could improve the precision of long-term flood forecasting in the lower Yellow River.

About this research paper

What this paper is about

Based on the water level data of many years on the five hydrologic station of the lower yellow river,the paper establishes the regression equation of Aishan station by using the stepwise regression method,verifies the accuracy of the equation by forecasting the water level of Aishan station. Compared with the results of the multiple linear regression method,the results of the stepwise regression method are more precise,which could improve the precision of long-term flood forecasting in the lower Yellow River.

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Available abstract

Based on the water level data of many years on the five hydrologic station of the lower yellow river,the paper establishes the regression equation of Aishan station by using the stepwise regression method,verifies the accuracy of the equation by forecasting the water level of Aishan station. Compared with the results of the multiple linear regression method,the results of the stepwise regression method are more precise,which could improve the precision of long-term flood forecasting in the lower Yellow River.

Key concepts: Stepwise regression, Regression, Regression analysis, Linear regression, Flood myth, Proper linear model, Statistics, Regression dilution

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