The researchers used a stepwise regression method to predict flood levels in the lower Yellow River. By analyzing years of water level data from five hydrologic stations, they created a precise equation for forecasting water levels at the Aishan station. The results showed that the stepwise regression method was more accurate than the multiple linear regression method, improving long-term flood forecasting in the area.