Prediction Method of Ground Subsidence in Groundwater Exploitation Based on Time Series
Traditional methods for predicting ground subsidence in groundwater exploitation can only collect historical ground subsidence data and cannot eliminate its outliers,resulting in a significant difference between the predicted and measured ground subsidence values.Therefore,a time series based method for predicting ground subsidence in groundwater exploitation is designed.Firstly,preprocess the collected ground subsidence data to eliminate outliers and dimensional differences between the data.Convert ground subsidence data into vertical subsidence rate,establish a ground subsidence prediction model based on time series and historical data,and analyze future subsidence trends based on the predicted results of the model.The experimental results show that the designed time series based method for predicting ground subsidence in groundwater extraction has a predicted value of ground subsidence that is basically consistent with the measured value,with a minimum of only 0.9mm.Prove that its method is more accurate and practical.
time seriesgroundwaterminingground subsidence prediction
万方数据
维普
