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作 者:蒋佩杭 黄标 刘甲春 JIANG Peihang;HUANG Biao;LIU Jiachun(School of Civil&Environmental Engineering and Geography Science,Ningbo University,Ningbo 315211,China)
机构地区:[1]宁波大学土木工程与地理环境学院,浙江宁波315211
出 处:《宁波大学学报(理工版)》2023年第6期77-84,共8页Journal of Ningbo University:Natural Science and Engineering Edition
基 金:浙江省自然科学基金(LY21E090003);浙江省省属高校基本科研业务费专项(SJLZ2021004).
摘 要:排水管网过流能力对于评估其运行状况至关重要,现有的在线流量监测成本普遍偏高.本研究基于排水性能图谱提出了一种利用监测多个检查井液位以推求管网动态流量的新方法,并应用于宁波某典型片区污水管网水力分析与模拟计算,结果与暴雨洪水管理模型模拟输出数据进行对比,表明流量监测结果最大误差不超过5%,间接推导得到水深结果最大误差不超过8%.基于排水性能图谱对影响该排水管网系统最大过流能力的瓶颈管段进行了诊断分析,并提出描述管道内水流充满度的新参数,以反映排水管网的负载情况.基于排水性能图谱对排水管道系统进行非恒定流演算,其中节点流量演算结果的最大相对误差为5%,节点水深演算结果的最大相对误差为6%,表明该方法具有较高准确性和效率.Assessing the performance of sewer networks is essential for their maintenance and management.However,the cost of existing online discharge monitoring is generally high.This study proposes a smart monitoring strategy for sewer networks that uses depth-only sensors.The method was applied to a typical sewer network in Ningbo,China,and the results were compared with those obtained from storm water management model.The maximum error of the discharge monitoring results did not exceed 5%,and the maximum error of the indirectly deduced water depth results did not exceed 8%,demonstrating the accuracy of the approach.The study also identified the bottleneck of the pipelines and manholes at the risk of overflow based on the drainage performance graph(DPG)method.To reflect the loading of the drainage network,a new coefficient describing the water flow filling degree in the pipeline was proposed.The DPG was used for flow routing in the sewer system,and the maximum relative error of the discharge simulation results was 5%,while the maximum relative error of the water depth simulation results was 6%.These results indicate that the DPG can be used with confidence for hydraulic modeling of sewer networks.
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