机器学习算法在济南泉群水位流量预测中的应用

Application of Machine Learning in Water Level and Discharge Prediction of Spring Group in Jinan

文章以趵突泉、黑虎泉地下水水位遥测数据和四大泉群出水量实测数据为分析样本,利用机器学习方法对四大泉群水位流量进行回归分析,并评价分析多种算法对回归数据的可靠性和准确性,以得出最优的回归方程式,便于进行泉群出水量的预测。

This paper takes Baotu and Heihu springs groundwater table telemetry data,as well as measured data of four spring groups effluent as the analysis samples,using machine learning method to do the regression analysis on water level flow of the four spring groups,and evaluate the reliability of the analysis of various algorithms of regression data and accuracy,to reach the optimal regression equation,and facilitate the water yield prediction on spring groups.