摘要
节点水龄被认为是评价管网水质的重要参数之一,与余氯浓度之间存在着紧密的关联。如何在漫长的管网输水过程中,维持饮用水的水质安全是一项挑战。通过节点水龄和余氯浓度的关系,基于广度优先搜索思想的拓扑排序算法,按照定义计算节点间水龄,提出并构建节点水龄有效矩阵,并结合遗传算法对中途加氯点和加氯量优化模型进行优化求解。对优化后的实际管网案例进行单时刻静态模拟和多时刻动态延时模拟分析,结果表明,基于节点水龄的供水管网中途加氯优化能够降低节点加氯量的投加,余氯浓度分布更均匀,为给水管网水质优化提供了实际指导。
Water age of pipelines node is considered as one of the crucial parameters for evaluating water quality in water supply distribution networks,closely correlated with the residual chlorine concentration.Maintaining the safety of drinking water quality throughout the extended process of water transmission in the pipeline poses a significant challenge.Leveraging the relationship between water age of pipelines node and residual chlorine concentration,a topological sorting algorithm based on breadth-first search is employed to calculate the water age of pipelines node.It was proposed and constructed an effective matrix for water age of pipelines node,integrating a genetic algorithm to optimize the model for midpoint chlorination addition locations and chlorine dosage.The optimized model was applied to real-world pipeline scenarios,subjected to both single-moment static simulations and multi-moment dynamic delay simulations.The results demonstrated that the optimization of midpoint chlorine addition in water supply networks based on water age of pipelines node reduced the required chlorine dosage at individual nodes,resulting in a more uniform distribution of residual chlorine concentration.This approach provides practical guidance for the water quality optimization of water supply networks.
作者
侯煜堃
赵硕
冯玉冠
HOU Yukun;ZHAO Shuo;FENG Yuguan(School of Environmental and Municipal Engineering,North China University of Water Resources and Electric Power,Zhengzhou450046,China)
出处
《净水技术》
CAS
2024年第6期71-79,160,共10页
Water Purification Technology
关键词
给水管网
节点水龄
中途加氯
遗传算法
拓扑排序
water supply distribution network
water age of pipelines node
midpoint chlorination
genetic algorithm
topological sorting
