CHU Fu-min,SUN Shao-hua,LU Nan-nan,et al.Isolation, Identification and Characteristic Analysis of Chlorine-resistant Bacteria in Urban Water Supply Pipe Network[J].China Water & Wastewater,2020,36(21):42-46.
供水管网中耐氯菌的分离鉴定及特性分析
- Title:
- Isolation, Identification and Characteristic Analysis of Chlorine-resistant Bacteria in Urban Water Supply Pipe Network
- Keywords:
- water supply pipe network; chlorine-resistant bacteria; Gordonia terrae; isolation; identification
- 摘要:
- 供水管网中的耐氯菌筛查及特性分析在饮用水微生物安全评估方面具有重要意义。基于传统微生物培养技术,提出了一种供水管网耐氯菌筛选分离方法,并从某市引黄供水管网中成功分离到一株耐氯菌——土地戈登氏菌(Gordonia terrae),该菌株为条件致病菌,革兰氏阳性,好氧。该菌株的耐氯性较大肠埃希氏菌显著增强,2.5 mg/L余氯在2 h内无法将浓度为107 CFU/mL的土地戈登氏菌(Gordonia terrae)全部灭活,灭活率仅为3个对数去除率,相同消毒条件下,大肠埃希氏菌在消毒剂作用20 min后基本全部被灭活。供水管网中耐氯菌的出现对水厂现行消毒工艺提出了新的挑战。
- Abstract:
- Screening and characterization of chlorine-resistant bacteria in urban water supply pipe netwrok are of great significance in microbial safety assessment of drinking water. Based on traditional microbial culture technology, a method for screening and isolating chlorine-resistant bacteria in urban water supply pipe network was proposed, and a chlorine-resistant bacterium—Gordonia terrae, was successfully isolated from a water supply pipe network of Yellow River Diversion Project. The strain was a conditional pathogen, Gram-positive and aerobic. The chlorine resistance of this strain was significantly higher compared with that of Escherichia coli. Within 2 hours, 2.5 mg/L of residual chlorine could not inactivate all the Gordonia terrae with a concentration of 107 CFU/mL, and the inactivation rate was only 3lg. Under the same disinfection conditions, Escherichia coli was basically inactivated after 20 minutes of disinfectant action. The emergence of chlorineresistant bacteria in water supply pipe network poses a new challenge to the current disinfection process in water treatment plants.
相似文献/References:
[1]程伟平,陈亚威,许刚,等.基于遗传算法的供水管网爆管监控网络布置研究[J].中国给水排水,2020,36(15):46.
CHENG Wei-ping,CHEN Ya-wei,XU Gang,et al.Layout of Burst Monitoring Network in Water Distribution System Based on Genetic Algorithm[J].China Water & Wastewater,2020,36(21):46.
[2]程伟平,张邢,龙志宏,等.基于粒子源逆向追踪算法的管网污染源快速定位技术[J].中国给水排水,2020,36(19):50.
CHENG Wei-ping,ZHANG Xing,LONG Zhi-hong,et al.Rapid Pollution Source Location Technology in Water Distribution System Based on Particle Back-tracking Algorithm[J].China Water & Wastewater,2020,36(21):50.
[3]吴潇勇,艾静,王圣,等.输配分离供水管网布局的构建与影响评估[J].中国给水排水,2020,36(21):53.
WU Xiao-yong,AI Jing,WANG Sheng,et al.Construction and Impact Assessment of Water Supply Network Layout with Separating Water Supply and Distribution Pipes[J].China Water & Wastewater,2020,36(21):53.
[4]苏炯恒,王琦,王礼炳,等.考虑成本–弹性–水质的供水管网多目标协同设计方法[J].中国给水排水,2020,36(21):58.
SU Jiong-heng,WANG Qi,WANG Li-bing,et al.A Multi-objective Coordinated Design Method for Water Distribution Networks Considering Cost, Resilience and Water Quality[J].China Water & Wastewater,2020,36(21):58.
[5]岳宏宇,吕谋,李红卫,等.基于群体智能优化算法的供水管网压力监测点布置[J].中国给水排水,2020,36(21):66.
YUE Hong-yu,L Mou,LI Hong-wei,et al.Arrangement of Pressure Monitoring Points in Water Supply Network Based on Swarm Intelligence Optimization Algorithm[J].China Water & Wastewater,2020,36(21):66.
[6]吉瑞博,王志红,龙志宏,等.基于风险评估的供水管网水质监测点优化模型研究[J].中国给水排水,2021,37(3):52.
JI Rui-bo,WANG Zhi-hong,LONG Zhi-hong,et al.Water Quality Monitoring Points Optimization Model for Water Supply Network Based on Risk Assessment[J].China Water & Wastewater,2021,37(21):52.
[7]杨佳莉,杜坤,陈洋,等.基于冗余选择策略差分进化的供水管网多目标优化[J].中国给水排水,2021,37(9):40.
YANG Jia-li,DU Kun,CHEN Yang,et al.Multi-objective Optimization of Water Distribution System Based on Differential Evolution of Redundant Selection Strategy[J].China Water & Wastewater,2021,37(21):40.
[8]卢慢,杜坤,宋志刚,等.基于耦合统计及模型驱动的供水管网爆管定位[J].中国给水排水,2021,37(9):46.
LU Man,DU Kun,SONG Zhi-gang,et al.Burst Location of Water Supply Pipe Network Based on Coupling Statistics and Model Driven[J].China Water & Wastewater,2021,37(21):46.
[9]龚珑聪,卓雄,许俊鸽.基于NB-IoT和DMA技术相结合的小区漏损控制分析[J].中国给水排水,2021,37(13):40.
GONG Long-cong,ZHUO Xiong,XU Jun-ge.Analysis of Leakage Management in Community Based on Combination of NB-IoT and DMA Technology[J].China Water & Wastewater,2021,37(21):40.
[10]林晓丹,陈方亮,强志民,等.供水管网水质模型的研究进展:经验统计模型[J].中国给水排水,2021,37(14):1.
LIN Xiao-dan,CHEN Fang-liang,QIANG Zhi-min,et al.Research Progress on Water Quality Models of Drinking Water Distribution Systems: Empirical Statistic Models[J].China Water & Wastewater,2021,37(21):1.