以南方某市为例探究供水管网系统生物稳定性
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  • 英文篇名:A case study of a southern city on the biological stability of drinking water distribution system
  • 作者:陈俊宇 ; 李伟英 ; 张骏鹏 ; 周宇 ; 陈继平 ; 张琛
  • 英文作者:Chen Junyu;Li Weiying;Zhang Junpeng;Zhou Yu;Chen Jiping;Zhang Chen;College of Environmental Science and Engineering,Tongji University;
  • 关键词:生物稳定性 ; 供水管网 ; 可同化有机碳 ; 有机物 ; 颗粒物
  • 英文关键词:Biological stability;;Drinking water distribution system;;Assimilable organic carbon;;Organic compounds;;Particles
  • 中文刊名:JZJS
  • 英文刊名:Water & Wastewater Engineering
  • 机构:同济大学环境科学与工程学院;
  • 出版日期:2019-06-10
  • 出版单位:给水排水
  • 年:2019
  • 期:v.55;No.458
  • 基金:国家重点研发计划(2016YFC0700200)
  • 语种:中文;
  • 页:JZJS201906023
  • 页数:7
  • CN:06
  • ISSN:11-4972/TU
  • 分类号:115-120+126
摘要
控制微生物生长是确保供水管网水质生物稳定的关键手段之一。以我国南方某城市供水管网为研究对象,探讨了供水距离、季节和颗粒数对管网系统生物稳定性的影响。研究结果表明,管网水中有机物以类酪氨酸和类色氨酸为主(78.9%),有机物种类和浓度随供水距离增加无明显变化;异养菌平板计数(Heterotrophic Plate Count,HPC)与余氯浓度显著相关(R=-0.31,P <0.001,n=120);可同化有机碳(Assimilable Organic Carbon,AOC)、AOC-P17/AOC和AOCNOX/AOC呈季节性变化规律,粒径为2~5μm的颗粒占总颗粒数75.7%~85.9%,该粒径颗粒数与HPC相关性良好(R=0.20,P<0.05,n=120)。基于实际管网的长期研究,通过数据统计分析发现UV_(254)与AOC显著相关(R=0.29,P<0.001,n=161),因此尝试借助UV_(254)预测水质AOC值,以便监控与预测该市管网系统生物稳定性。
        Controlling the regrowth of microorganisms is one of the key means to guarantee the biological stability of the drinking water distribution system(DWDS).In this paper,the DWDS of a southern city as the research object,the effects of water transport distance,season,and particle number on the biological stability were discussed.The results show that there are mainly tyrosine-like and tryptophan-like(78.9%)substances in organic matter,and the type and concentration of organic matter do not change significantly with the increase of water transport distance.Heterotrophic plate count(HPC)shows a significant correlation with residual chlorine concentration(R=-0.31,P <0.001,n=120).Assimilable organic carbon(AOC),AOC-P17/AOC and AOCNOX/AOC showed seasonal variations,which may be caused by the seasonal change of microbial community structure.The particle sized 2~5μm accounted for 75.7% ~85.9% of the total number of particles,which is significantly correlated with HPC(R=0.20,P<0.05,n=120).Based on the long-term research of the actual DWDS,it is found through statistical analysis that UV_(254) and AOC showed good correlation(R=0.29,P<0.001,n=161).Therefore,AOC can be predicted by UV_(254),thus facilitating the monitoring and prediction of water quality of DWDS in the southern city.
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