Application of Abnormal Identification and Diagnosis Technology for Storm Sewer Networks Based on Online Conductivity Data
In order to establish a diagnostic technology for rainwater pipe network mixing based on large-scale,long-term,and low maintenance online monitoring,this study established a relative horizontal mixing degree grading standard based on conductivity values.After comparison,it was found that its absolute deviation from total nitrogen and ammonia nitrogen was low,and it had good stability and accuracy.In the process of establishing standards,it was necessary to identify the background characteristics of conductivity.Therefore,an analysis was conducted on the impact of daily variation,hourly variation,number of clear days in the early stage,and rainfall intensity on the background value.The results showed that the timely variation of daily variation did not have a significant impact in the study area,while the number of clear days in the early stage had a certain impact.When selecting dry days of no less than 3 days as the data collection cycle,the accuracy of mixing level calculation was higher.Based on online conductivity data,a systematic method is adopted to classify the degree of mixing,analyze the sources of pollution,and track the linkage of upstream and downstream multiple points,which can effectively carry out the tracing of pollution sources in rainwater pipe sections and the identification of mixing in rainwater connecting households.
万方数据
维普
