摘要
There were two heavy rainstorms in Henan in July of 2016. Via MDOS and CDQC,quality control analysis of deep ground temperature at four stations of Henan with heavy rainstorm was conducted,and the cause for observation data anomaly was analyzed and studied. Results showed that rainstorm made deep ground temperature rise,and ground temperature rise range in Huixian was the maximum,while ground temperature in Linzhou changed little. There were three kinds of causes for the problem: one was ground temperature casing pipe seepage or inlet; the other was rainfall causing bad line contact at automatic station; another was complex composition of surface soil layer of observation site,which might contain the element easy to heat or dissipate heat. These all could cause ground temperature abnormality when heavy rainfall happens or the problem of ground temperature changes too fast. It should use the original soil to build observation field,making ground temperature stable and reliable.It should notice if observation data was normal or not to avoid disaster occurrence when rainstorm occurred.
There were two heavy rainstorms in Henan in July of 2016. Via MDOS and CDQC,quality control analysis of deep ground temperature at four stations of Henan with heavy rainstorm was conducted,and the cause for observation data anomaly was analyzed and studied. Results showed that rainstorm made deep ground temperature rise,and ground temperature rise range in Huixian was the maximum,while ground temperature in Linzhou changed little. There were three kinds of causes for the problem: one was ground temperature casing pipe seepage or inlet; the other was rainfall causing bad line contact at automatic station; another was complex composition of surface soil layer of observation site,which might contain the element easy to heat or dissipate heat. These all could cause ground temperature abnormality when heavy rainfall happens or the problem of ground temperature changes too fast. It should use the original soil to build observation field,making ground temperature stable and reliable.It should notice if observation data was normal or not to avoid disaster occurrence when rainstorm occurred.
