YUANHai-wei,HULu,ZHONGTao,et al.Characteristics of Sediment Accumulation in Cast Iron Water Supply Pipelines[J].China Water & Wastewater,2025,41(11):85-90.
铸铁供水管道沉积物污染富集特征
- Title:
- Characteristics of Sediment Accumulation in Cast Iron Water Supply Pipelines
- Keywords:
- water supply pipeline; scale; sediment; flushing water; bioenrichment; release risk
- 摘要:
- 对南方某给水管网采用冰浆清管技术进行清洗,并从冲洗时间、冲洗水理化性质和微生物群落组成等方面分析管道污染状况。结果表明,管道沉积物在冲洗前期释放较快,6 min后水中浊度与颗粒总数达到最大,冲洗水呈碱性,主要金属污染物为管道腐蚀产生的铁和絮凝剂主体物质铝,氯离子在沉积物中的峰值可达11 731 mg/L。TOC的变化表明,有机物在管壁内富集,并为微生物生长提供了碳源。微生物群落结构分析显示,富集的微生物以Phreatobacter为主(73%),由于有Sphingomonas、Pseudomonas被检出(含条件致病菌),需要关注微生物的释放风险。
- Abstract:
- The ice pigging technology was utilized to clean a water supply network in the South China. Additionally, the pollution status of the pipeline was evaluated by analyzing factors such as flushing duration, the physicochemical characteristics of the flushing water, and the composition of the microbial community. The sediment within the pipeline was released quickly during the initial phase of flushing. After six minutes, the turbidity and total particle count in the water reached their peak values. The flushing water exhibited alkaline characteristics. The primary metallic contaminants identified were iron, resulting from pipeline corrosion, and aluminum, which is the principal component of the flocculant. Notably, the peak concentration of chloride ions in the sediment could reach up to 11 731 mg/L. The variation in TOC suggested an enrichment of organic matter within the pipeline wall, thereby supplying a carbon source that supported microbial growth. Analysis of the microbial community structure revealed that the predominant microorganisms were Phreatobacter, with relative abundance accounting for 73%. Given the presence of Sphingomonas and Pseudomonas (including opportunistic pathogenic bacteria), attention should be directed towards the potential risks associated with microbial release.
相似文献/References:
[1]胡群芳,孙,肖瑞,等.城市综合管廊供水管道弯管及其支墩体系力学分析[J].中国给水排水,2020,36(20):19.
HU Qun-fang,SUN Yan,XIAO Rui,et al.Mechanical Analysis of Bends and Supports of Water Supply Pipeline in Urban Utility Tunnel[J].China Water & Wastewater,2020,36(11):19.
[2]黄智刚.长距离曲线岩石顶管技术用于供水管道建设[J].中国给水排水,2020,36(20):39.
HUANG Zhi-gang.Application of Long-distance Curved Pipe Jacking for Crossing Rock Formation in Water Supply Pipeline Construction[J].China Water & Wastewater,2020,36(11):39.
[3]杨振东,曹亚龙,张巧玲,等.含泄漏供水管道瞬变流动特征及泄漏定位[J].中国给水排水,2021,37(15):35.
YANG Zhen-dong,CAO Ya-long,ZHANG Qiao-ling,et al.Transient Flow Characteristics and Leakage Location of Water Supply Pipeline with Leakage Points[J].China Water & Wastewater,2021,37(11):35.
[4]何楠,郭浩,刘菁,等.供水管道中金属污染物富集与释放研究进展[J].中国给水排水,2022,38(2):21.
HE Nan,GUO Hao,LIU Jing,et al.Research Progress on Enrichment and Release of Metal Pollutants in Water Supply Pipelines[J].China Water & Wastewater,2022,38(11):21.
[5]赵林硕,叶郭煊,申永刚,等.基于时频卷积神经网络的供水管道漏损检测[J].中国给水排水,2023,39(17):53.
ZHAOLin-shuo,YEGuo-xuan,SHENYong-gang,et al.Leakage Detection of Water Supply Pipeline Based on Time-Frequency Convolutional Neural Network[J].China Water & Wastewater,2023,39(11):53.
[6]王海涛,葛奇,江安华,等.水听器次声波在大口径供水管道探漏中的应用研究[J].中国给水排水,2024,40(19):39.
WANGHai-tao,GEQi,JIANGAn-hua,et al.Application of Hydrophone Infrasound Waves in Leak Detection of Large-diameter Water Supply Pipelines[J].China Water & Wastewater,2024,40(11):39.