摘要
随着城市化进程的不断加快,合流制排水系统溢流污染问题日益严峻,如何充分利用排水管网削减雨天溢流污染成为研究热点。本研究建立了在线水质监测系统,对排水系统溢流口、截污闸等处的COD信息进行实时监测,然后依据实时监测数据制定截污闸调度策略。同时对水质分析仪的准确性和稳定性进行了测试,将其安装在监测点连续监测30 d,测样时间间隔为10 min,随机抽取8 d的在线监测数据进行比对,并以人工采样测试结果作为对照。结果表明,在线水质分析仪性能稳定,能及时灵敏地反映水质变化情况;在线监测与人工测试的对比结果表明,85%的数据偏差≤15 mg/L,可满足辅助调度决策的要求;在近8个月的长时间持续监测过程中,系统运行状态良好,在辅助排水系统调度中具有较好的应用前景。
The overflow pollution of the combined drainage system is becoming more serious as the rapid urbanization. How to make full use of the drainage pipe network to reduce the overflow pollution during rainy days has become a hot research topic. An online water quality monitoring system was established to monitor the COD information at the overflow and sewage gate of the drainage system in real-time, and then the sewage gate scheduling strategy was formulated based on the real-time monitoring water quality data. The accuracy and stability of the water quality analyzer were tested. The analyzer was installed at the monitoring point and monitored continuously for 30 days with a sampling interval of 10 minutes. Eight days of online monitoring data were randomly selected for comparison with the manual sampling and testing results. The online water quality analyzer was stable and reflected the water quality change in time and sensitively. The comparison between the online monitoring data and manual testing data indicated that 85% of the data deviations were no more than 15 mg/L, which met the requirements of the auxiliary scheduling decision. The system ran well during a long period of continuous monitoring over nearly 8 months and had good application prospects in auxiliary drainage system scheduling.
作者
张文
方茜
周午阳
王广华
孙志民
ZHANG Wen;FANG Qian;ZHOU Wu-yang;WANG Guang-hua;SUN Zhi-min(School of Civil Engineering,Guangzhou University,Guangzhou 510006,China;Guangzhou Municipal Engineering Design&Research Institute,Guangzhou 510060,China)
出处
《中国给水排水》
CAS
CSCD
北大核心
2021年第17期57-61,共5页
China Water & Wastewater
基金
广东省水利科技创新项目(2020-34)
广州市水务科技计划项目(穗污管办合字[2015]第16号)。
关键词
排水系统
调度策略
在线水质监测
drainage system
scheduling strategy
online water quality monitoring