Prediction of reservoir pH value based on partial least square method
Based on the data of algae quantity and pH value in the reservoir,modeling and analysis of five factors affecting the pH value were conducted based on the partial least square method.The results showed that the impact of different kinds of algae on the pH value was different(Chlorella＞Microcystis＞Actinophyta＞Skeletonema＞Stephanodiscus).The model was verified by actual data,and the fitting effect of the partial least square regression model was satisfactory.The predicted pH value was compared with the measured value,and the model could well characterize the impact trend of algae quantity on the pH value in the Gongjizhai Reservoir in Hezhang,but it could not well predict the measured value.The main possible reason for this is that there are many factors affecting the pH value,including water temperature,dissolved oxygen,turbidity,permanganate index,annual rainfall,etc.
万方数据
维普
