LIUZhi-gang,XUQiao,WANGYa-chao,et al.Analysis of Water Chemical Stability and Identification of Sensitive Areas in Water Supply Network[J].China Water & Wastewater,2024,40(7):45-50.
供水管网水质化学稳定性分析及水质敏感区识别
- Title:
- Analysis of Water Chemical Stability and Identification of Sensitive Areas in Water Supply Network
- Keywords:
- water supply network; water chemical stability; water quality sensitivity; residual chlorine
- 摘要:
- 针对南方某市多水源供水现状，研究了供水管网水质化学稳定性变化特征，并对该市供水管网水质敏感区进行识别。选取了该市不同水厂供水区域内20个管网采样点2019年3月—2021年3月的余氯、浊度及总铁数据，对不同区域不同季节的管网水质特性进行分析。结果表明，该市供水管网水质整体较好，管网水质敏感区主要集中在供水管网末梢、老旧城区及部分供水分界点，在水源调度过程中需重点关注。管网水质中浊度与余氯具有一定的负相关性，而水体浊度的增加与管道内壁含铁污染物的释放有关。
- Abstract:
- This paper investigated the characteristics of water chemical stability in a multi-source water supply network in a southern city, and identified the water quality sensitive areas of the water supply network. The data of residual chlorine, turbidity and total iron from 20 sampling points of the city from March 2019 to March 2021 were selected to analyze the water quality characteristics of the pipeline network in different regions and seasons. The water quality of the water supply network in the city was overall good, and the water quality sensitive areas were mainly located at the end of the water supply network, the old urban areas and some water supply demarcation points, which should be paid attention to in the process of water supply dispatching. There was a negative correlation between turbidity and residual chlorine, and the increase of turbidity was related to the release of iron-containing pollutants in the inner wall of the pipeline.
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(7):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(7):50.
[3]褚福敏,孙韶华,逯南南,等.供水管网中耐氯菌的分离鉴定及特性分析[J].中国给水排水,2020,36(21):42.
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(7):42.
[4]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(7):53.
[5]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(7):58.
[6]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(7):66.
[7]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(7):52.
[8]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(7):40.
[9]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(7):46.
[10]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(7):40.