摘要
自动化监测相较于传统人工采样监测来说,前者能够带来海量的监测数据,基于海量监测数据,可进行以日为周期的小尺度分析、以月为周期的中尺度分析以及跨年度的大尺度分析。通过分析自动化水环境监测数据,发现水质常规5参数之间存在一定的相关性,水质参数与水文气象参数之间存在联动性变化关系。利用参数之间的关系,可为水环境自动化监测数据的矫正工作提供修正依据。通过多参数之间联动性特征变化,可实时监控现场环境变化情况,实时报警。
Compared with traditional manual sampling and monitoring,automated monitoring can bring massive amounts of monitoring data.Based on massive amounts of monitoring data,it can perform small-scale analysis with a daily cycle,mesoscale analysis with a monthly cycle,and large-scale cross-yearly analysis.analysis.Through the analysis of automated water environment monitoring data,it is found that there is a certain correlation between the five conventional water quality parameters,and there is a linkage change relationship between water quality parameters and hydrological and meteorological parameters.Using the relationship between the parameters can provide a correction basis for the correction of the water environment automatic monitoring data.Through the linkage feature changes between multiple parameters,real-time monitoring of changes in the on-site environment and real-time alarms can be achieved.
作者
历明月
李建华
夏丽娟
郑钧
LI Ming-yue;LI Jian-hua;XIA Li-juan;ZHENG Jun(Beijing Sinfotek Technology Co.Ltd.,Beijing 100085,China)
出处
《水利科技与经济》
2021年第4期1-7,共7页
Water Conservancy Science and Technology and Economy
基金
国家自然科学基金(91647208)。
关键词
水环境
自动化监测
相关性
报警
water environment
automatic monitoring
correlation
alarm