Fault Detection for Water Level and Discharge Sequence Data Based on CART
In order to meet the needs of water resources management,and improve the quality of hydrological data and the effi-ciency of data review,the paper proposed a fault detection method for water level and discharge sequence data based on CART.Firstly,it built samples that introduce redundant data.Then,it selected the detection features about the characteristics of water level and discharge sequence data.Next,the samples were taken into the characteristics to calculate the characteristic thresholds by combining the station characteristics and gini coefficient algorithm,and a decision tree was formed.Finally,decision tree was used to detect fault and assist manual data checking.After manual judgment,new samples will be formed for the next decision tree construction.Experimental results show that the detection accuracy of this method can meet the practical application.This method has been used in the national hydrological and water resources monitoring information system.
CARTGini Coefficientwater level and dischargefault detection
万方数据
维普
