An Automatic Method For Judging Soil Moisture Anomaly Data
In this paper,a method of judging abnormal observation data by normalizing frequency threshold is proposed for FDR automatic soil moisture meter.By analyzing the principle of FDR(frequency domain reflectometry),the normalized frequency threshold range of the automatic soil moisture sensor is determined,second,the effectiveness of the method in detecting sensor failures was tested by Inner Mongolia about 890,000 hourly normalized frequency 2021 from May to September from 165 automated soil mois-ture stations,the results show that the abnormal data caused by sensor fault can be detected effectively by normalized frequency,the method changes from the quality control of the limit value of the data products such as volumetric water content and soil relative hu-midity,which are widely used in China,to the judgment of the threshold range of the actual measurement value of the sensor,it can find the reason of data anomaly more quickly and effectively to ensure the accuracy and reliability of observation data.
automatic soil moistureabnormal datafrequency domain reflectometrynormalized frequency
万方数据
维普
