水利水电技术（中英文）2025，Vol.56Issue(6)：101-110,10.DOI:10.13928/j.cnki.wrahe.2025.06.009
融合凝聚层次聚类和互相关函数的城市排水管网监测点优化布置研究
Optimizing the layout of urban drainage pipeline monitoring points using agglomerative hierarchical clustering and cross-correlation functions
摘要
Abstract
[Objective]With the increasing importance of urban drainage pipelines in flood management and water pollution control,there is an urgent need for optimized monitoring networks.[Methods]An efficient and accurate method for optimizing the layout of monitoring points in urban drainage pipelines to detect and identify illegal sewage discharge was proposec.A Storm Water Management Model(SWMM)was utilized to simulate pollutant transport within urban drainage pipelines and generate time-series data.An agglomerative hierarchical clustering algorithm was applied to classify the data and determine the optimal number of monitoring points in the drainage network.Node correlation was assessed through cross-correlation functions,selecting nodes with the highest coefficients to ensure comprehensive pollution conditions within the clusters.[Results]The proposed method was validated using a drainage network case from the SWMM manual,and it was determined that deploying three monitoring points is the optimal choice.The evaluation revealed a reliability of 91.86％and an average response time of 3.26 minutes at three monitoring points.Agglomerative hierarchical clustering outperformed the K-means algorithm in terms of monitoring point layout effectiveness,especially in covering the upstream,midstream,and downstream sections of the drainage network.[Conclusion]This method offers a new technical means for optimizing the layout of monitoring points in urban drainage pipelines,enhancing urban drainage monitoring and management and offering new perspectivesfor related research areas.关键词
城市排水管网/监测点优化布置/凝聚层次聚类算法/互相关函数/SWMM模型Key words
urban drainage pipelines/monitoring point optimization/agglomerative hierarchical clustering algorithm/cross-correlation function/SWMM model分类
建筑与水利引用本文复制引用
吴文鑫,高杰,于会来,林洁,蒋俊豪,李传奇..融合凝聚层次聚类和互相关函数的城市排水管网监测点优化布置研究[J].水利水电技术（中英文）,2025,56(6):101-110,10.基金项目
深圳市可持续发展科技专项项目(KCXFZ20201221173407021) （KCXFZ20201221173407021）
国家自然科学基金项目(52109025) （52109025）
山东省自然科学基金项目(ZR2021ME030) （ZR2021ME030）
